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39 produkter

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39 produkter

Advances on Mathematical Modeling and Optimization with Its Applications
AvGunjan Mukherjee,Biswadip Basu Mallikm. fl.
Inbunden, Engelska, 2024
1 786 kr
Skickas inom 10-15 vardagar
Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications.Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systemsCovers linear integer programming and network design problems, along with an application of the mixed integer problemsDiscusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domainElucidates the application of statistical models, probability models, and transfer learning conceptsShowcases the importance of multi-attribute decision modeling in the domain of image processing and soft computingThe text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.
Advances on Mathematical Modeling and Optimization with Its Applications
AvGunjan Mukherjee,Biswadip Basu Mallikm. fl.
Häftad, Engelska, 2025
804 kr
Skickas inom 10-15 vardagar
Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications.Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systemsCovers linear integer programming and network design problems, along with an application of the mixed integer problemsDiscusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domainElucidates the application of statistical models, probability models, and transfer learning conceptsShowcases the importance of multi-attribute decision modeling in the domain of image processing and soft computingThe text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.
Deep Learning Concepts in Operations Research
AvBiswadip Basu Mallik,Gunjan Mukherjeem. fl.
Inbunden, Engelska, 2024
3 352 kr
Skickas inom 10-15 vardagar
The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines:An overview of applications and computing devicesDeep learning impacts in the field of AIDeep learning as state-of-the-art approach to AIExploring deep learning architecture for cutting-edge AI solutionsOperations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.
Deep Learning Concepts in Operations Research
AvBiswadip Basu Mallik,Gunjan Mukherjeem. fl.
Häftad, Engelska, 2025
804 kr
Skickas inom 10-15 vardagar
The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines:An overview of applications and computing devicesDeep learning impacts in the field of AIDeep learning as state-of-the-art approach to AIExploring deep learning architecture for cutting-edge AI solutionsOperations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.
Deep Learning Applications in Operations Research
AvAryan Chaudhary,Biswadip Basu Mallikm. fl.
Inbunden, Engelska, 2024
2 996 kr
Skickas inom 10-15 vardagar
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.
Nyhet
Deep Learning Applications in Operations Research
AvAryan Chaudhary,Biswadip Basu Mallikm. fl.
Häftad, Engelska, 2026
790 kr
Skickas inom 10-15 vardagar
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.
Engineering the Circular Economy
Leveraging Fuzzy Logic for Implementation
AvBiswadip Basu Mallik,Gunjan Mukherjeem. fl.
Inbunden, Engelska, 2025
1 840 kr
Skickas inom 10-15 vardagar
Implementing the circular economy necessitates innovative approaches capable of managing the complexity and uncertainty inherent in the shift from linear to circular systems. Fuzzy logic, a computational approach inspired by human reasoning, provides a promising framework for navigating these complexities. With a practical approach, this book offers how fuzzy logic can be utilized to implement the circular economy.Engineering the Circular Economy: Leveraging Fuzzy Logic for Implementation discusses the significance of incorporating fuzzy logic into circular economy strategies. This integration enables the development of adaptive models for resource management, waste reduction, and supply chain optimization. The book showcases various case studies and practical examples to demonstrate the application of fuzzy logic in implementing circular economy principles across diverse industries. Additionally, it addresses the challenges and future directions within a circular economy framework, emphasizing the importance of identifying these challenges and exploring future directions for continuous improvement in sustainability efforts. The potential of combining engineering, fuzzy logic, and the circular economy to address global sustainability challenges is highlighted, showcasing how leveraging fuzzy logic facilitates informed decision-making and the creation of innovative solutions as we work toward a more sustainable future.With its forward-thinking approach and focus on practical applications, this book is an essential resource for practitioners, researchers, engineers, scholars, and policymakers looking to promote innovation and sustainability in today’s rapidly changing economic and environmentally conscious environment.
Advances on Mathematical Modeling and Optimization with Its Applications
AvAryan Chaudhary,Rahul Karm. fl.
E-bok
PDF, Engelska, 2024
939 kr
Läs direkt efter köp
Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications.
Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systems Covers linear integer programming and network design problems, along with an application of the mixed integer problems Discusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domain Elucidates the application of statistical models, probability models, and transfer learning concepts Showcases the importance of multi-attribute decision modeling in the domain of image processing and soft computing
The text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.
Advances on Mathematical Modeling and Optimization with Its Applications
AvAryan Chaudhary,Rahul Karm. fl.
E-bok
Engelska, 2024
939 kr
Läs direkt efter köp
Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications.
Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systems Covers linear integer programming and network design problems, along with an application of the mixed integer problems Discusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domain Elucidates the application of statistical models, probability models, and transfer learning concepts Showcases the importance of multi-attribute decision modeling in the domain of image processing and soft computing
The text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.
Deep Learning Concepts in Operations Research
AvAryan Chaudhary,Rahul Karm. fl.
E-bok
PDF, Engelska, 2024
949 kr
Läs direkt efter köp
The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines:
An overview of applications and computing devices Deep learning impacts in the field of AI Deep learning as state-of-the-art approach to AI Exploring deep learning architecture for cutting-edge AI solutions
Operations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.
Deep Learning Concepts in Operations Research
AvAryan Chaudhary,Rahul Karm. fl.
E-bok
Engelska, 2024
891 kr
Läs direkt efter köp
The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines:
An overview of applications and computing devices Deep learning impacts in the field of AI Deep learning as state-of-the-art approach to AI Exploring deep learning architecture for cutting-edge AI solutions
Operations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.
Deep Learning Applications in Operations Research
AvRahul Kar,Gunjan Mukherjeem. fl.
E-bok
PDF, Engelska, 2024
3 636 kr
Läs direkt efter köp
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.
Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.
Deep Learning Applications in Operations Research
AvRahul Kar,Gunjan Mukherjeem. fl.
E-bok
Engelska, 2024
3 626 kr
Läs direkt efter köp
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.
Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.
Engineering the Circular Economy
Leveraging Fuzzy Logic for Implementation
AvYouqing Fan,Rahul Karm. fl.
E-bok
PDF, Engelska, 2025
1 844 kr
Läs direkt efter köp
Implementing the circular economy necessitates innovative approaches capable of managing the complexity and uncertainty inherent in the shift from linear to circular systems. Fuzzy logic, a computational approach inspired by human reasoning, provides a promising framework for navigating these complexities. With a practical approach, this book offers how fuzzy logic can be utilized to implement the circular economy.Engineering the Circular Economy: Leveraging Fuzzy Logic for Implementation discusses the significance of incorporating fuzzy logic into circular economy strategies. This integration enables the development of adaptive models for resource management, waste reduction, and supply chain optimization. The book showcases various case studies and practical examples to demonstrate the application of fuzzy logic in implementing circular economy principles across diverse industries. Additionally, it addresses the challenges and future directions within a circular economy framework, emphasizing the importance of identifying these challenges and exploring future directions for continuous improvement in sustainability efforts. The potential of combining engineering, fuzzy logic, and the circular economy to address global sustainability challenges is highlighted, showcasing how leveraging fuzzy logic facilitates informed decision-making and the creation of innovative solutions as we work toward a more sustainable future.With its forward-thinking approach and focus on practical applications, this book is an essential resource for practitioners, researchers, engineers, scholars, and policymakers looking to promote innovation and sustainability in today's rapidly changing economic and environmentally conscious environment.
Engineering the Circular Economy
Leveraging Fuzzy Logic for Implementation
AvYouqing Fan,Rahul Karm. fl.
E-bok
Engelska, 2025
1 844 kr
Läs direkt efter köp
Implementing the circular economy necessitates innovative approaches capable of managing the complexity and uncertainty inherent in the shift from linear to circular systems. Fuzzy logic, a computational approach inspired by human reasoning, provides a promising framework for navigating these complexities. With a practical approach, this book offers how fuzzy logic can be utilized to implement the circular economy.Engineering the Circular Economy: Leveraging Fuzzy Logic for Implementation discusses the significance of incorporating fuzzy logic into circular economy strategies. This integration enables the development of adaptive models for resource management, waste reduction, and supply chain optimization. The book showcases various case studies and practical examples to demonstrate the application of fuzzy logic in implementing circular economy principles across diverse industries. Additionally, it addresses the challenges and future directions within a circular economy framework, emphasizing the importance of identifying these challenges and exploring future directions for continuous improvement in sustainability efforts. The potential of combining engineering, fuzzy logic, and the circular economy to address global sustainability challenges is highlighted, showcasing how leveraging fuzzy logic facilitates informed decision-making and the creation of innovative solutions as we work toward a more sustainable future.With its forward-thinking approach and focus on practical applications, this book is an essential resource for practitioners, researchers, engineers, scholars, and policymakers looking to promote innovation and sustainability in today's rapidly changing economic and environmentally conscious environment.
Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems
AvRahul Kar,Najib Ben Aounm. fl.
E-bok
PDF, Engelska, 2026
3 060 kr
Läs direkt efter köp
This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant. Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSs Offers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation Bridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problems Includes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportation Discusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areas It is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.
Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems
AvRahul Kar,Najib Ben Aounm. fl.
E-bok
Engelska, 2026
3 051 kr
Läs direkt efter köp
This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant. Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSs Offers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation Bridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problems Includes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportation Discusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areas It is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.
Computational Intelligence Solutions for Real-Life Problems
Theories, Applications, and Advances
AvBinay Kumar Pandey,Digvijay Pandeym. fl.
E-bok
PDF, Engelska, 2025
3 116 kr
Läs direkt efter köp
This new book looks at the fast-growing field of computational intelligence in a wide range of areas and offers new perspectives for using AI to enhance effectiveness as well as deal with real-life issues and problems. The diverse case examples highlight the integration of computational intelligence in drug discovery and the manufacturing of pharmaceuticals, in electronic science, in agricultural science, in manufacturing and industrial design, in finance and economics, in cybersecurity, in election integrity, in cancer prediction and analysis, for technical and vocational education, and more.
Computational Intelligence Solutions for Real-Life Problems
Theories, Applications, and Advances
AvBinay Kumar Pandey,Digvijay Pandeym. fl.
E-bok
Engelska, 2025
3 108 kr
Läs direkt efter köp
This new book looks at the fast-growing field of computational intelligence in a wide range of areas and offers new perspectives for using AI to enhance effectiveness as well as deal with real-life issues and problems. The diverse case examples highlight the integration of computational intelligence in drug discovery and the manufacturing of pharmaceuticals, in electronic science, in agricultural science, in manufacturing and industrial design, in finance and economics, in cybersecurity, in election integrity, in cancer prediction and analysis, for technical and vocational education, and more.
Fuzzy Logic Concepts in Computer Science and Mathematics
AvRashmi Singh,Biswadip Basu Mallikm. fl.
E-bok
PDF, Engelska, 2025
2 966 kr
Läs direkt efter köp
Fuzzy logic, a set of rules that can be used to reach logical conclusions from fuzzy sets of data, is a useful way of determining relevant relationships from imprecise data and has many uses in real-life applications. This new volume provides in-depth information and research on fuzzy logic and its many beneficial and versatile applications in diverse fields of engineering and other areas. It explores the varied applications of fuzzy logic in many sectors, such as in manufacturing and in the automotive industry, in the healthcare and allied health sciences, in mathematics and allied domains, in business and finance, in electronics and computer science, and more.
Fuzzy Logic Concepts in Computer Science and Mathematics
AvRashmi Singh,Biswadip Basu Mallikm. fl.
E-bok
Engelska, 2025
2 935 kr
Läs direkt efter köp
Fuzzy logic, a set of rules that can be used to reach logical conclusions from fuzzy sets of data, is a useful way of determining relevant relationships from imprecise data and has many uses in real-life applications. This new volume provides in-depth information and research on fuzzy logic and its many beneficial and versatile applications in diverse fields of engineering and other areas. It explores the varied applications of fuzzy logic in many sectors, such as in manufacturing and in the automotive industry, in the healthcare and allied health sciences, in mathematics and allied domains, in business and finance, in electronics and computer science, and more.
Applications of Quantum Computing in a Variety of Domains
AvDigvijay Pandey,Ozen Ozerm. fl.
E-bok
Engelska, 2026
2 590 kr
Läs direkt efter köp
This new volume, Applications of Quantum Computing in a Variety of Domains, provides a comprehensive overview of the rapidly evolving field of quantum computing and its diverse applications across various domains. Quantum computing has emerged as one of the most promising frontiers in computer science, revolutionizing computation by leveraging the principles of quantum mechanics to perform complex calculations at speeds unattainable by classical computers. As this technology progresses, it has the potential to tackle some of the most challenging problems in science, engineering, finance, healthcare, and beyond.This volume has gathered insights from leading experts and researchers on the fundamental concepts of quantum computing and the latest advancements in quantum algorithms and hardware. It examines the practical applications of quantum computing across a range of industries and social media.The volume first lays the groundwork with an introduction to the principles of quantum mechanics and quantum computation, providing readers with a solid understanding of the theoretical underpinnings of quantum computing. From there, the book delves into the various quantum computing models, architectures, and algorithms, highlighting their unique advantages and challenges in the application of quantum computing in the many fields of computer security and cyber security, genetics, manufacturing and industrial design, chemistry, data science, machine learning, renewable energy, and weather forecasting and climate modeling.This volume, highlighting the diverse applications of quantum computing in a variety of domains, provides new perspectives for computing professionals as well as for faculty and students.
Applications of Quantum Computing in a Variety of Domains
AvDigvijay Pandey,Ozen Ozerm. fl.
E-bok
PDF, Engelska, 2026
2 590 kr
Läs direkt efter köp
This new volume, Applications of Quantum Computing in a Variety of Domains, provides a comprehensive overview of the rapidly evolving field of quantum computing and its diverse applications across various domains. Quantum computing has emerged as one of the most promising frontiers in computer science, revolutionizing computation by leveraging the principles of quantum mechanics to perform complex calculations at speeds unattainable by classical computers. As this technology progresses, it has the potential to tackle some of the most challenging problems in science, engineering, finance, healthcare, and beyond.This volume has gathered insights from leading experts and researchers on the fundamental concepts of quantum computing and the latest advancements in quantum algorithms and hardware. It examines the practical applications of quantum computing across a range of industries and social media.The volume first lays the groundwork with an introduction to the principles of quantum mechanics and quantum computation, providing readers with a solid understanding of the theoretical underpinnings of quantum computing. From there, the book delves into the various quantum computing models, architectures, and algorithms, highlighting their unique advantages and challenges in the application of quantum computing in the many fields of computer security and cyber security, genetics, manufacturing and industrial design, chemistry, data science, machine learning, renewable energy, and weather forecasting and climate modeling.This volume, highlighting the diverse applications of quantum computing in a variety of domains, provides new perspectives for computing professionals as well as for faculty and students.
Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems
AvMariya Ouaissa,Mariyam Ouaissam. fl.
Inbunden, Engelska, 2026
2 683 kr
Skickas inom 10-15 vardagar
This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS). It offers a detailed examination of how to leverage these technologies to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigation. Artificial Intelligence and Fuzzy Logic for Next Generation Intelligent Transportation employs several novel approaches and special design features. It includes case studies and real-world examples illustrating the practical applications of the technologies under review. Furthermore, it integrates interdisciplinary perspectives, combining insights from computer science, engineering, urban planning, and environmental science. Each chapter is self-contained, providing both theoretical background and practical insights, making it accessible to a broad audience. Additionally, this book features contributions from leading experts in the field, ensuring that the content is both current and relevant.Presents advanced methodologies in AI and fuzzy logic, specifically designed to enhance ITSsOffers a detailed examination of how technologies can be leveraged to solve complex transportation challenges, such as traffic congestion, route optimization, and autonomous vehicle navigationBridges the gap between theoretical research and practical implementation, demonstrating how emerging technologies can be applied to real-world problemsIncludes theoretical foundations, algorithmic developments, and practical case studies specifically related to AI in the context of smart transportationDiscusses topics such as predictive weather impact on traffic management, enhancing road safety with AI and fuzzy logic, and smart parking systems in urban areasIt is written for researchers, engineers, and practitioners in the field, as well as policymakers and academic scholars interested in the future of transportation.
Fuzzy Logic Applications in Computer Science and Mathematics
AvRahul Kar,Dac-Nhuong Lem. fl.
Inbunden, Engelska, 2023
2 091 kr
Skickas inom 5-8 vardagar
FUZZY LOGIC APPLICATIONS IN COMPUTER SCIENCE AND MATHEMATICSTICS The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering. The basic steps of fuzzy inference systems starting from the core foundation of the fuzzy concepts are presented in this book. The fuzzy theory is a mathematical concept and, at the same time, it is applied to many versatile engineering fields and research domains related to computer science. The fuzzy system offers some knowledge about uncertainty and is also related to the theory of probability. A fuzzy logic-based model acts as the classifier for many different types of data belonging to several classes. Covered in this book are topics such as the fundamental concepts of mathematics, fuzzy logic concepts, probability and possibility theories, and evolutionary computing to some extent. The combined fields of neural network and fuzzy domain (known as the neuro-fuzzy system) are explained and elaborated. Each chapter has been produced in a very lucid manner, with grading from simple to complex to accommodate the anticipated different audiences. The application-oriented approach is the unique feature of this book. Audience This book will be read and used by a broad audience including applied mathematicians, computer scientists, and industry engineers.
Fuzzy Logic Applications in Computer Science and Mathematics
AvAshok Kumar Shaw,Biswadip Basu Mallikm. fl.
E-bok
Engelska, 2023
2 587 kr
Läs direkt efter köp
FUZZY LOGIC APPLICATIONS IN COMPUTER SCIENCE AND MATHEMATICSTICS
The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering.
The basic steps of fuzzy inference systems starting from the core foundation of the fuzzy concepts are presented in this book. The fuzzy theory is a mathematical concept and, at the same time, it is applied to many versatile engineering fields and research domains related to computer science. The fuzzy system offers some knowledge about uncertainty and is also related to the theory of probability. A fuzzy logic-based model acts as the classifier for many different types of data belonging to several classes.
Covered in this book are topics such as the fundamental concepts of mathematics, fuzzy logic concepts, probability and possibility theories, and evolutionary computing to some extent. The combined fields of neural network and fuzzy domain (known as the neuro-fuzzy system) are explained and elaborated. Each chapter has been produced in a very lucid manner, with grading from simple to complex to accommodate the anticipated different audiences. The application-oriented approach is the unique feature of this book.
Audience
This book will be read and used by a broad audience including applied mathematicians, computer scientists, and industry engineers.
Fuzzy Logic Applications in Computer Science and Mathematics
AvAshok Kumar Shaw,Biswadip Basu Mallikm. fl.
E-bok
PDF, Engelska, 2023
2 587 kr
Läs direkt efter köp
FUZZY LOGIC APPLICATIONS IN COMPUTER SCIENCE AND MATHEMATICSTICS
The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering.
The basic steps of fuzzy inference systems starting from the core foundation of the fuzzy concepts are presented in this book. The fuzzy theory is a mathematical concept and, at the same time, it is applied to many versatile engineering fields and research domains related to computer science. The fuzzy system offers some knowledge about uncertainty and is also related to the theory of probability. A fuzzy logic-based model acts as the classifier for many different types of data belonging to several classes.
Covered in this book are topics such as the fundamental concepts of mathematics, fuzzy logic concepts, probability and possibility theories, and evolutionary computing to some extent. The combined fields of neural network and fuzzy domain (known as the neuro-fuzzy system) are explained and elaborated. Each chapter has been produced in a very lucid manner, with grading from simple to complex to accommodate the anticipated different audiences. The application-oriented approach is the unique feature of this book.
Audience
This book will be read and used by a broad audience including applied mathematicians, computer scientists, and industry engineers.
Nyhet
Fuzzy Logic in Computational Intelligence
Applications and Case Studies
AvAshok Kumar Shaw,Biswadip Basu Mallikm. fl.
E-bok
PDF, Engelska, 2026
2 806 kr
Läs direkt efter köp
Unlock the power to navigate real-world uncertainty with this comprehensive guide, blending foundational theory with practical case studies to show you exactly how to integrate fuzzy logic and machine learning for unmatched predictive accuracy. Machine learning has emerged as a transformative force in modern research, and the integration of fuzzy logic with machine learning techniques has shown significant promise in improving accuracy and precision. Fuzzy logic is based on the principles of uncertainty and has applications across a wide range of predictive and probabilistic environments. From agriculture to healthcare and numerous other sectors, fuzzy logic can be utilized to develop innovative and effective solutions. This book examines the pivotal role of fuzzy logic in enhancing computational systems ability to handle uncertainty and imprecision. The book provides a thorough introduction to fuzzy logic, explaining its fundamental concepts and theories while demonstrating its capacity to mimic human reasoning to address vagueness and ambiguity. It explores practical applications in decision-making, pattern recognition, and control systems, with examples such as Nissan s anti-lock brakes, Honda s auto engines, and Mitsubishi Electric s elevator controls. Beyond artificial intelligence and machine learning, fuzzy logic finds applications in fields like evolutionary computing, computer vision, and image processing, enabling advancements in classifier optimization and fine-tuning. By integrating theoretical foundations with practical applications and future directions, the book serves as an essential resource for understanding and leveraging fuzzy logic in computational intelligence and across diverse interdisciplinary domains. The reader will find the volume: Explores the core principles of fuzzy logic and its integration into computational intelligence, providing a strong theoretical foundation for researchers and practitioners;Features diverse case studies demonstrating the practical implementation of fuzzy logic in fields such as healthcare, robotics, finance, and engineering;Showcases how fuzzy systems enhance decision-making in uncertain and complex environments, offering tools to tackle real-world challenges;Written to cater to both beginners seeking an introduction and experts aiming to deepen their knowledge in fuzzy logic systems. Audience Researchers, academics, graduate students, engineers, data scientists, and AI technologists in computer science, artificial intelligence, and applied mathematics seeking advanced insights into fuzzy logic systems and their applications.
Digital Transformation in Supply Chain Management
Big Data and Fuzzy Logic Approaches
AvSandeep Kautish,Rahul Karm. fl.
Inbunden, Engelska, 2027
2 564 kr
Kommande
Fuzzy Logic Concepts in Computer Science and Mathematics
AvRahul Kar,Aryan Chaudharym. fl.
Inbunden, Engelska, 2025
2 499 kr
Skickas inom 10-15 vardagar
Fuzzy logic, a set of rules that can be used to reach logical conclusions from fuzzy sets of data, is a useful way of determining relevant relationships from imprecise data and has many uses in real-life applications. This new volume provides in-depth information and research on fuzzy logic and its many beneficial and versatile applications in diverse fields of engineering and other areas. It explores the varied applications of fuzzy logic in many sectors, such as in manufacturing and in the automotive industry, in the healthcare and allied health sciences, in mathematics and allied domains, in business and finance, in electronics and computer science, and more.

Rahul Kar – författare

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