Anindya Nag – författare
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31 produkter
31 produkter
Inbunden, Engelska, 2021
1 913 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2021
410 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2024
2 132 kr
Skickas inom 10-15 vardagar
Carbon Nanotube-Based Sensors: Fabrication, Characterization, and Implementation highlights the latest research and developments on carbon nanotubes (CNTs) and their applications in sensors and sensing systems. It offers an overview of CNTs, including their synthesis, functionalization, characterization, and toxicology. It then delves into the fabrication and various applications of CNT-based sensors.FEATURES Defines the significance of different forms of CNT-based sensors synthesized for diverse engineering applications and compares the feasibility of their generation Helps readers evaluate different types of fabrication techniques to generate CNTs and their subsequent sensing Discusses fabrication of low-cost, efficient CNTs-based sensors that can be used for diverse applications and sheds light on synthesis methods for a range of printing techniques Highlights challenges and advances in security-related issues using CNTs-based sensorsThis book is aimed at researchers in the fields of materials and electrical engineering who are interested in the development of sensor technology for industrial, biomedical, and related applications.
Häftad, Engelska, 2025
798 kr
Skickas inom 10-15 vardagar
Carbon Nanotube-Based Sensors: Fabrication, Characterization, and Implementation highlights the latest research and developments on carbon nanotubes (CNTs) and their applications in sensors and sensing systems. It offers an overview of CNTs, including their synthesis, functionalization, characterization, and toxicology. It then delves into the fabrication and various applications of CNT-based sensors.FEATURES Defines the significance of different forms of CNT-based sensors synthesized for diverse engineering applications and compares the feasibility of their generation Helps readers evaluate different types of fabrication techniques to generate CNTs and their subsequent sensing Discusses fabrication of low-cost, efficient CNTs-based sensors that can be used for diverse applications and sheds light on synthesis methods for a range of printing techniques Highlights challenges and advances in security-related issues using CNTs-based sensorsThis book is aimed at researchers in the fields of materials and electrical engineering who are interested in the development of sensor technology for industrial, biomedical, and related applications.
Inbunden, Engelska, 2025
2 744 kr
Skickas inom 10-15 vardagar
This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer’s disease using neural networks and ensuring data privacy and security in federated learning for neural disorders.This book: Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disordersFocuses on combining federated learning with magnetic resonance imaging (MRI) data, which is a fundamental aspect of contemporary neuroimaging researchExamines the use of federated learning as a promising approach for collaborative data analysis in healthcare, with a focus on maintaining privacy and securityExplores the cutting-edge field of healthcare innovation by examining the interface of neuroscience and machine learning, with a specific focus on the breakthrough technique of federated learningOffers a comprehensive understanding of how federated learning may transform patient care, covering both theoretical ideas and practical examplesIt is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and biomedical engineering.
E-bok
PDF, Engelska, 2024970 kr
Läs direkt efter köp
Carbon Nanotube-Based Sensors: Fabrication, Characterization, and Implementation highlights the latest research and developments on carbon nanotubes (CNTs) and their applications in sensors and sensing systems. It offers an overview of CNTs, including their synthesis, functionalization, characterization, and toxicology. It then delves into the fabrication and various applications of CNT-based sensors.
FEATURES
Defines the significance of different forms of CNT-based sensors synthesized for diverse engineering applications and compares the feasibility of their generation
Helps readers evaluate different types of fabrication techniques to generate CNTs and their subsequent sensing
Discusses fabrication of low-cost, efficient CNTs-based sensors that can be used for diverse applications and sheds light on synthesis methods for a range of printing techniques
Highlights challenges and advances in security-related issues using CNTs-based sensors
This book is aimed at researchers in the fields of materials and electrical engineering who are interested in the development of sensor technology for industrial, biomedical, and related applications.
970 kr
Läs direkt efter köp
Carbon Nanotube-Based Sensors: Fabrication, Characterization, and Implementation highlights the latest research and developments on carbon nanotubes (CNTs) and their applications in sensors and sensing systems. It offers an overview of CNTs, including their synthesis, functionalization, characterization, and toxicology. It then delves into the fabrication and various applications of CNT-based sensors.
FEATURES
Defines the significance of different forms of CNT-based sensors synthesized for diverse engineering applications and compares the feasibility of their generation
Helps readers evaluate different types of fabrication techniques to generate CNTs and their subsequent sensing
Discusses fabrication of low-cost, efficient CNTs-based sensors that can be used for diverse applications and sheds light on synthesis methods for a range of printing techniques
Highlights challenges and advances in security-related issues using CNTs-based sensors
This book is aimed at researchers in the fields of materials and electrical engineering who are interested in the development of sensor technology for industrial, biomedical, and related applications.
E-bok
PDF, Engelska, 20253 151 kr
Läs direkt efter köp
This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer’s disease using neural networks and ensuring data privacy and security in federated learning for neural disorders.
This book:
Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disorders Focuses on combining federated learning with magnetic resonance imaging (MRI) data, which is a fundamental aspect of contemporary neuroimaging research Examines the use of federated learning as a promising approach for collaborative data analysis in healthcare, with a focus on maintaining privacy and security Explores the cutting-edge field of healthcare innovation by examining the interface of neuroscience and machine learning, with a specific focus on the breakthrough technique of federated learning Offers a comprehensive understanding of how federated learning may transform patient care, covering both theoretical ideas and practical examplesIt is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and biomedical engineering.
E-bok
Engelska, 20253 151 kr
Läs direkt efter köp
This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer’s disease using neural networks and ensuring data privacy and security in federated learning for neural disorders.
This book:
Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disorders Focuses on combining federated learning with magnetic resonance imaging (MRI) data, which is a fundamental aspect of contemporary neuroimaging research Examines the use of federated learning as a promising approach for collaborative data analysis in healthcare, with a focus on maintaining privacy and security Explores the cutting-edge field of healthcare innovation by examining the interface of neuroscience and machine learning, with a specific focus on the breakthrough technique of federated learning Offers a comprehensive understanding of how federated learning may transform patient care, covering both theoretical ideas and practical examplesIt is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and biomedical engineering.
E-bok
PDF, Engelska, 20251 022 kr
Läs direkt efter köp
This book comprehensively explores the intersection between AI and neurology, focusing on the application of generative models in diagnosing, treating, and managing neurodegenerative diseases. It covers the principles of generative AI and its roles in neuroimaging, biomarker identification, medication development, and tailored treatment options. It examines how advanced AI approaches are leveraged to increase the detection and treatment of neurodegenerative illnesses. The concepts are supported by case studies and examples.Features: Focuses on the emerging field of generative models in neurology. Presents an interdisciplinary approach that bridges AI and medical applications. Examines the ability of neural diffusion models to generate genuine data to enhance healthcare AI. Discusses tools for the adaptation and augmentation of medical images and healthcare data domains. Includes case studies and practical impacts. This book is aimed at graduate students and researchers in biomedical and computer engineering, artificial intelligence, and health informatics.
E-bok
Engelska, 20251 022 kr
Läs direkt efter köp
This book comprehensively explores the intersection between AI and neurology, focusing on the application of generative models in diagnosing, treating, and managing neurodegenerative diseases. It covers the principles of generative AI and its roles in neuroimaging, biomarker identification, medication development, and tailored treatment options. It examines how advanced AI approaches are leveraged to increase the detection and treatment of neurodegenerative illnesses. The concepts are supported by case studies and examples.Features: Focuses on the emerging field of generative models in neurology. Presents an interdisciplinary approach that bridges AI and medical applications. Examines the ability of neural diffusion models to generate genuine data to enhance healthcare AI. Discusses tools for the adaptation and augmentation of medical images and healthcare data domains. Includes case studies and practical impacts. This book is aimed at graduate students and researchers in biomedical and computer engineering, artificial intelligence, and health informatics.
E-bok
PDF, Engelska, 20261 856 kr
Läs direkt efter köp
Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include:- Explores AI, big data, IoT, and blockchain in healthcare in-depth.- Provides actionable strategies for energy management, waste disposal, and green supply chains- Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging.- Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains.- Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.
1 856 kr
Läs direkt efter köp
Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include:- Explores AI, big data, IoT, and blockchain in healthcare in-depth.- Provides actionable strategies for energy management, waste disposal, and green supply chains- Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging.- Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains.- Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.
1 991 kr
Läs direkt efter köp
This book delves into the transformative power of AI in the realm of neurodegenerative diseases,covering topics such as ALS, Huntington's, Parkinson's, and Alzheimer's. Generative AIprovides new opportunities for early diagnosis, precise therapy, and individualized rehabilitation,which are crucial as these conditions remain major obstacles for healthcare providersand researchers.Researchers, physicians, AI developers, and healthcare professionals will find this bookan invaluable resource for understanding how AI is influencing the development of treatmentsfor neurodegenerative diseases. It describes important obstacles and future directions whileproviding insights into the newest breakthroughs, thus bridging the gap between technologyand practical clinical applications. Anyone involved in neurodegenerative healthcare, fromscientists conducting AI-driven medical research to physicians seeking to incorporate AI intopatient care or AI professionals investigating new healthcare applications, will find the informationand insights they need in this comprehensive book.Predictive analytics, biomarker identification, and drug discovery are being transformedby AI-driven models, such as deep neural networks, generative adversarial networks (GANs),and variational autoencoders (VAEs). This book offers a comprehensive examination of thesedevelopments. Robots, wearable sensors, and cognitive therapy platforms are some of theAI-enhanced rehabilitation tools covered, as are AI-integrated cutting-edge technologies likefMRI and MRI, gene-editing methods like CRISPR, and more.In addition to discussing recent technical developments, this book takes a close look atthe data privacy, ethics, and regulatory issues that arise when using AI to study neurodegenerativedisorders. Issues like algorithmic bias, model explainability, and fair AI-driven healthcareare thoroughly investigated in light of the growing usage of AI models in clinical decision-making,mental health applications, and cognitive rehabilitation.
Inbunden, Engelska, 2026
2 603 kr
Kommande
Pressure sensors have become a pivotal part of sensing technology due to their high accuracy, low power consumption and low response time to detect the amount of force/pressure needed to conduct an operation.Pressure induced Flexible Sensors: Fabrication Characterization and Application highlights the research done on the fabrication and implementation of different pressure-induced flexible sensors. It provides a detailed overview of the different types of pressure sensors used in healthcare, industrial and environmental sectors. It encompasses the entire spectrum from fabrication to application of the pressure sensors used in the current scenario. The book categorizes the sensors by their operating mechanisms and practical uses, with clear explanations of key working principles including piezoresistive, piezoelectric, capacitive, and triboelectric technologies. The also authors showcase breakthrough developments in multimodal and biodegradable sensing, pushing the boundaries of what's possible in sensor design. Finally, the challenges and remedies of current pressure sensors are examined and explained.This book is aimed at graduate level students and researchers in the fields of electrical engineering and materials science engineering who are interested in the development of sensor technology for industrial, biomedical, and related applications.
Inbunden, Engelska, 2026
1 827 kr
Skickas inom 10-15 vardagar
Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include:– Explores AI, big data, IoT, and blockchain in healthcare in-depth.– Provides actionable strategies for energy management, waste disposal, and green supply chains– Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging.– Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains.– Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.
Inbunden, Engelska, 2025
2 511 kr
Skickas inom 10-15 vardagar
This book comprehensively explores the intersection between AI and neurology, focusing on the application of generative models in diagnosing, treating, and managing neurodegenerative diseases. It covers the principles of generative AI and its roles in neuroimaging, biomarker identification, medication development, and tailored treatment options. It examines how advanced AI approaches are leveraged to increase the detection and treatment of neurodegenerative illnesses. The concepts are supported by case studies and examples.Features:Focuses on the emerging field of generative models in neurology.Presents an interdisciplinary approach that bridges AI and medical applications.Examines the ability of neural diffusion models to generate genuine data to enhance healthcare AI.Discusses tools for the adaptation and augmentation of medical images and healthcare data domains.Includes case studies and practical impacts.This book is aimed at graduate students and researchers in biomedical and computer engineering, artificial intelligence, and health informatics.
Del 33 - Smart Sensors, Measurement and Instrumentation
Printed Flexible Sensors
Fabrication, Characterization and Implementation
Inbunden, Engelska, 2019
1 084 kr
Skickas inom 10-15 vardagar
This book presents recent advances in the design, fabrication and implementation of flexible printed sensors. It explores a range of materials for developing the electrode and substrate parts of the sensors, on the basis of their electrical and mechanical characteristics. The sensors were processed using laser cutting and 3D printing techniques, and the sensors developed were employed in a number of healthcare, environmental and industrial applications, including: monitoring of physiological movements, respiration, salinity and nitrate measurement, and tactile sensing. The type of sensor selected for each application depended on its dimensions, robustness and sensitivity. The sensors fabricated were also embedded in an IoT-based system, allowing them to be integrated into real-time applications.
E-bok
Engelska, 20191 416 kr
Läs direkt efter köp
This book presents recent advances in the design, fabrication and implementation of flexible printed sensors. It explores a range of materials for developing the electrode and substrate parts of the sensors, on the basis of their electrical and mechanical characteristics. The sensors were processed using laser cutting and 3D printing techniques, and the sensors developed were employed in a number of healthcare, environmental and industrial applications, including: monitoring of physiological movements, respiration, salinity and nitrate measurement, and tactile sensing. The type of sensor selected for each application depended on its dimensions, robustness and sensitivity. The sensors fabricated were also embedded in an IoT-based system, allowing them to be integrated into real-time applications.
Inbunden, Engelska, 2022
1 407 kr
Skickas inom 10-15 vardagar
This book investigates the fabrication of different types of flexible sensors and their subsequent implementation for energy-harvesting applications. A range of techniques, including 3D printing, soft lithography, laser ablation, micro-contract printing, screen-printing, inkjet printing and others have been used to form the flexible sensors with varied characteristics. These sensors have been used for biomedical, environmental and healthcare applications on the basis of their performances. The quality of these flexible sensors has depended on certain types of nanomaterials that have been used to synthesize the conductive parts of the prototypes. These nanomaterials have been based on different sizes and shapes, whose quality varied on the basis of certain factors like crystallinity, shapes and sizes. One of the primary utilization of these nanotechnology-based flexible sensors has been the harvesting of energy where nano-generators and nano-harvesters have been formed to generate and store energy, respectively, on small and moderate magnitudes. Mechanical and thermal energies have been harvested on the basis of the piezoelectric, pyroelectric and triboelectric effects created by the formed prototypes. The work highlights the amalgamation of these sectors to spotlight the essence of these types of sensors and their intended application.
E-bok
Engelska, 20221 733 kr
Läs direkt efter köp
This book investigates the fabrication of different types of flexible sensors and their subsequent implementation for energy-harvesting applications. A range of techniques, including 3D printing, soft lithography, laser ablation, micro-contract printing, screen-printing, inkjet printing and others have been used to form the flexible sensors with varied characteristics. These sensors have been used for biomedical, environmental and healthcare applications on the basis of their performances. The quality of these flexible sensors has depended on certain types of nanomaterials that have been used to synthesize the conductive parts of the prototypes. These nanomaterials have been based on different sizes and shapes, whose quality varied on the basis of certain factors like crystallinity, shapes and sizes. One of the primary utilization of these nanotechnology-based flexible sensors has been the harvesting of energy where nano-generators and nano-harvesters have been formed to generate and store energy, respectively, on small and moderate magnitudes. Mechanical and thermal energies have been harvested on the basis of the piezoelectric, pyroelectric and triboelectric effects created by the formed prototypes. The work highlights the amalgamation of these sectors to spotlight the essence of these types of sensors and their intended application.
Häftad, Engelska, 2023
1 407 kr
Skickas inom 10-15 vardagar
This book investigates the fabrication of different types of flexible sensors and their subsequent implementation for energy-harvesting applications. A range of techniques, including 3D printing, soft lithography, laser ablation, micro-contract printing, screen-printing, inkjet printing and others have been used to form the flexible sensors with varied characteristics. These sensors have been used for biomedical, environmental and healthcare applications on the basis of their performances. The quality of these flexible sensors has depended on certain types of nanomaterials that have been used to synthesize the conductive parts of the prototypes. These nanomaterials have been based on different sizes and shapes, whose quality varied on the basis of certain factors like crystallinity, shapes and sizes. One of the primary utilization of these nanotechnology-based flexible sensors has been the harvesting of energy where nano-generators and nano-harvesters have been formed to generate and store energy, respectively, on small and moderate magnitudes. Mechanical and thermal energies have been harvested on the basis of the piezoelectric, pyroelectric and triboelectric effects created by the formed prototypes. The work highlights the amalgamation of these sectors to spotlight the essence of these types of sensors and their intended application.
Inbunden, Engelska, 2024
2 484 kr
Skickas inom 10-15 vardagar
This book offers a thorough examination of the revolutionary capabilities of quantum computing in the context of Industry 6.0, with a specific emphasis on its use in disaster management. The aim of this proposed book is to clarify how quantum computing, in conjunction with other Industry 6.0 technologies, might profoundly transform our comprehension, preparedness, and response to natural disasters. In the era of Industry 6.0, there is a pressing need for creative solutions to tackle the increasing difficulties caused by natural disasters. This proposed book explores the distinctive characteristics and capacities of quantum computing that make it especially suitable for improving disaster management procedures. The proposed book examines the potential of quantum algorithms to enhance resource allocation, enhance forecasting precision, and facilitate real-time decision-making in the context of rapidly changing crisis scenarios. This proposed book proposes a comprehensive strategy for catastrophe management that is adaptable, robust, and efficient by utilizing quantum computing in conjunction with other advanced technologies.This proposed book offers a comprehensive analysis of the specific ways in which quantum computing can be utilized in different areas of disaster management. It covers topics such as risk assessment, early warning systems, and infrastructure resilience. By examining real-world case studies and examples, readers can acquire valuable insights into the practical implementation and effectiveness of quantum-powered crisis management solutions, showcasing their potential impact. This proposed book acknowledges the ethical consequences of implementing sophisticated technologies in disaster management. It focuses on important ethical and societal factors, including data privacy, algorithmic bias, and fair access to technology. The aim is to ensure that quantum-powered solutions prioritize ethical principles and cater to the requirements of all communities. This proposed book provides readers with a clear understanding of the potential areas for future study, innovation, and collaboration in the field of quantum-powered crisis management systems.
E-bok
Engelska, 20243 157 kr
Läs direkt efter köp
This book offers a thorough examination of the revolutionary capabilities of quantum computing in the context of Industry 6.0, with a specific emphasis on its use in disaster management. The aim of this proposed book is to clarify how quantum computing, in conjunction with other Industry 6.0 technologies, might profoundly transform our comprehension, preparedness, and response to natural disasters. In the era of Industry 6.0, there is a pressing need for creative solutions to tackle the increasing difficulties caused by natural disasters. This proposed book explores the distinctive characteristics and capacities of quantum computing that make it especially suitable for improving disaster management procedures. The proposed book examines the potential of quantum algorithms to enhance resource allocation, enhance forecasting precision, and facilitate real-time decision-making in the context of rapidly changing crisis scenarios. This proposed book proposes a comprehensive strategy for catastrophe management that is adaptable, robust, and efficient by utilizing quantum computing in conjunction with other advanced technologies.
This proposed book offers a comprehensive analysis of the specific ways in which quantum computing can be utilized in different areas of disaster management. It covers topics such as risk assessment, early warning systems, and infrastructure resilience. By examining real-world case studies and examples, readers can acquire valuable insights into the practical implementation and effectiveness of quantum-powered crisis management solutions, showcasing their potential impact. This proposed book acknowledges the ethical consequences of implementing sophisticated technologies in disaster management. It focuses on important ethical and societal factors, including data privacy, algorithmic bias, and fair access to technology. The aim is to ensure that quantum-powered solutions prioritize ethical principles and cater to the requirements of all communities. This proposed book provides readers with a clear understanding of the potential areas for future study, innovation, and collaboration in the field of quantum-powered crisis management systems.
Inbunden, Engelska, 2025
2 004 kr
Skickas inom 10-15 vardagar
This book delves into the fundamental concepts, methodologies, and practical implementations of feature fusion, providing valuable perspectives on how merging several data aspects might augment the decision-making skills of artificial intelligence. Feature fusion is inherently connected to the advancement of intelligent solutions from medical data as it enables the incorporation of various and complementary data sources to construct more advanced AI models. Within the medical domain, data manifests in diverse formats, including electronic health records (EHRs), medical imaging, genomic data, and real-time sensor metrics. Although each of these data kinds offers distinct perspectives, they may have limitations in terms of their breadth or depth when considered independently. The application of feature fusion enables the integration of diverse data sources into a unified model, hence improving the AI's capacity to detect patterns, make precise predictions, and produce significant insights. The fusion process facilitates the development of intelligent solutions that exhibit enhanced reliability and effectiveness by using a more extensive reservoir of knowledge. For example, an artificial intelligence system that combines imaging data with clinical history might enhance the precision of disease diagnosis, forecast patient outcomes, and suggest tailored treatment strategies. Feature fusion is the crucial factor in unleashing the complete capabilities of medical data, enabling artificial intelligence to provide intelligent solutions that not only enhance the provision of healthcare but also stimulate advancements in medical research and practice. The proposed book explores the advanced notion of feature fusion within the field of artificial intelligence, with a particular emphasis on its implementation in physiological data. The integration of many data sources is crucial in the development of more precise, dependable, and understandable AI models as the healthcare industry becomes more data-driven.
E-bok
Engelska, 20252 599 kr
Läs direkt efter köp
This book delves into the fundamental concepts, methodologies, and practical implementations of feature fusion, providing valuable perspectives on how merging several data aspects might augment the decision-making skills of artificial intelligence. Feature fusion is inherently connected to the advancement of intelligent solutions from medical data as it enables the incorporation of various and complementary data sources to construct more advanced AI models. Within the medical domain, data manifests in diverse formats, including electronic health records (EHRs), medical imaging, genomic data, and real-time sensor metrics. Although each of these data kinds offers distinct perspectives, they may have limitations in terms of their breadth or depth when considered independently. The application of feature fusion enables the integration of diverse data sources into a unified model, hence improving the AI's capacity to detect patterns, make precise predictions, and produce significant insights. The fusion process facilitates the development of intelligent solutions that exhibit enhanced reliability and effectiveness by using a more extensive reservoir of knowledge. For example, an artificial intelligence system that combines imaging data with clinical history might enhance the precision of disease diagnosis, forecast patient outcomes, and suggest tailored treatment strategies. Feature fusion is the crucial factor in unleashing the complete capabilities of medical data, enabling artificial intelligence to provide intelligent solutions that not only enhance the provision of healthcare but also stimulate advancements in medical research and practice. The proposed book explores the advanced notion of feature fusion within the field of artificial intelligence, with a particular emphasis on its implementation in physiological data. The integration of many data sources is crucial in the development of more precise, dependable, and understandable AI models as the healthcare industry becomes more data-driven.
Inbunden, Engelska, 2025
2 226 kr
Skickas inom 10-15 vardagar
This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book addresses a crucial gap in the current literature, providing valuable insights into the analysis and interpretation of complex brain networks and neurological data. Intended for a diverse audience, including clinicians, scientists, researchers, and students, it demystifies the complexities of GNNs and their applications in neurology. For clinicians and healthcare practitioners, the book illustrates how GNNs can enhance diagnostic accuracy, inform personalized treatment plans and predict disease progression. This leads to improved patient outcomes and a deeper understanding of neurological conditions such as Alzheimer's, Parkinson's, multiple sclerosis and epilepsy. Researchers will find the book particularly valuable as it delves into the methodologies and technical aspects of GNNs, showcasing their ability to handle diverse data sources including genetic, imaging and clinical information. By integrating these datasets, GNNs reveal hidden patterns and biomarkers, offering new avenues for research and potential therapeutic targets.A Guide to Graph Neural Networks for Neurological Disorders addresses the challenge of missing data, a common issue in neurological research, and demonstrates how GNNs can manage and mitigate these gaps. For students, both undergraduate and postgraduate, the book serves as an educational tool, providing clear explanations and practical examples that make complex concepts accessible. It equips the next generation of neuroscientists and data scientists with the knowledge and skills needed to contribute to this rapidly evolving field. The book aims to provide a foundational understanding of GNNs, demonstrate their practical applications in neurology, and inspire further research and innovation. By bridging the gap between AI and medical practice, the book empowers readers to leverage cutting-edge technology in the quest to understand and treat neurological illnesses, ultimately enhancing the quality of care and advancing the field of neuroscience.
E-bok
Engelska, 20252 840 kr
Läs direkt efter köp
This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book addresses a crucial gap in the current literature, providing valuable insights into the analysis and interpretation of complex brain networks and neurological data. Intended for a diverse audience, including clinicians, scientists, researchers, and students, it demystifies the complexities of GNNs and their applications in neurology. For clinicians and healthcare practitioners, the book illustrates how GNNs can enhance diagnostic accuracy, inform personalized treatment plans and predict disease progression. This leads to improved patient outcomes and a deeper understanding of neurological conditions such as Alzheimer's, Parkinson's, multiple sclerosis and epilepsy. Researchers will find the book particularly valuable as it delves into the methodologies and technical aspects of GNNs, showcasing their ability to handle diverse data sources including genetic, imaging and clinical information. By integrating these datasets, GNNs reveal hidden patterns and biomarkers, offering new avenues for research and potential therapeutic targets.A Guide to Graph Neural Networks for Neurological Disorders addresses the challenge of missing data, a common issue in neurological research, and demonstrates how GNNs can manage and mitigate these gaps. For students, both undergraduate and postgraduate, the book serves as an educational tool, providing clear explanations and practical examples that make complex concepts accessible. It equips the next generation of neuroscientists and data scientists with the knowledge and skills needed to contribute to this rapidly evolving field. The book aims to provide a foundational understanding of GNNs, demonstrate their practical applications in neurology, and inspire further research and innovation. By bridging the gap between AI and medical practice, the book empowers readers to leverage cutting-edge technology in the quest to understand and treat neurological illnesses, ultimately enhancing the quality of care and advancing the field of neuroscience.
- Nyhet
Del 77 - Information Systems Engineering and Management
Deep Learning in Cardiovascular Health
Sustainable Al Approaches for Heart Disease Diagnosis and Treatment
Inbunden, Engelska, 2026
2 226 kr
Skickas inom 10-15 vardagar
This book showcases the most recent developments in the application of artificial intelligence to cardiology and medical imaging, with an emphasis on precise diagnosis, early prediction, and patient-centered care. In order to overcome clinical data ambiguity and enhance confidence in automated systems, it presents innovative frameworks that combine deep learning, fuzzy graph neural networks, metaheuristic optimization, and explainable AI. This book bridges the gap between state-of-the-art research and practical healthcare applications by covering a wide range of techniques, including CNNs, RNNs, residual networks, federated learning, and multimodal learning. As a research reference and a manual for implementing AI-driven healthcare solutions, it provides useful tools, datasets, and methodologies that foster innovation in precision medicine and medical decision-making. It is designed for researchers, clinicians, and students.
- Nyhet
E-bok
Engelska, 20262 925 kr
Läs direkt efter köp
This book showcases the most recent developments in the application of artificial intelligence to cardiology and medical imaging, with an emphasis on precise diagnosis, early prediction, and patient-centered care. In order to overcome clinical data ambiguity and enhance confidence in automated systems, it presents innovative frameworks that combine deep learning, fuzzy graph neural networks, metaheuristic optimization, and explainable AI. This book bridges the gap between state-of-the-art research and practical healthcare applications by covering a wide range of techniques, including CNNs, RNNs, residual networks, federated learning, and multimodal learning. As a research reference and a manual for implementing AI-driven healthcare solutions, it provides useful tools, datasets, and methodologies that foster innovation in precision medicine and medical decision-making. It is designed for researchers, clinicians, and students.