Neha Gupta – författare

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

This book presents fundamental concepts of optimization problems and its real-world applications in various fields. The core concepts of optimization, formulations and solution procedures of various real-world problems are provided in an easy-to-read manner. The unique feature of this book is that it presents unified knowledge of the modelling of real-world decision-making problems and provides the solution procedure using the appropriate optimization techniques. The book will help students, researchers, and faculty members to understand the need for optimization techniques for obtaining optimal solution for the decision-making problems. It provides a sound knowledge of modelling of real-world problems using optimization techniques. It is a valuable compendium of several optimization techniques for solving real-world application problems using optimization software LINGO. The book is useful for academicians, practitioners, students and researchers in the field of OR. It is written in simple language with a detailed explanation of the core concepts of optimization techniques. Readers of this book will understand the formulation of real-world problems and their solution procedures obtained using the appropriate optimization techniques.

This book presents fundamental concepts of optimization problems and its real-world applications in various fields. The core concepts of optimization, formulations and solution procedures of various real-world problems are provided in an easy-to-read manner. The unique feature of this book is that it presents unified knowledge of the modelling of real-world decision-making problems and provides the solution procedure using the appropriate optimization techniques. The book will help students, researchers, and faculty members to understand the need for optimization techniques for obtaining optimal solution for the decision-making problems. It provides a sound knowledge of modelling of real-world problems using optimization techniques. It is a valuable compendium of several optimization techniques for solving real-world application problems using optimization software LINGO. The book is useful for academicians, practitioners, students and researchers in the field of OR. It is written in simple language with a detailed explanation of the core concepts of optimization techniques. Readers of this book will understand the formulation of real-world problems and their solution procedures obtained using the appropriate optimization techniques.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making.BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others.BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage.

Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making.BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others.BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage.

Sustainable Advanced Solar Passive House provides a platform to disseminate knowledge regarding the basics of solar energy, heat transfer, and solar houses, including designing concepts. Apart from a brief introduction to solar physics and thermodynamics, the book primarily deals with the technical description of solar houses and associated concepts. Different types of photovoltaic modules and their integration with the buildings are discussed with case studies, including energy balance equations and fundamental energy matrices. It discusses concepts like energy matrices, solar passive heating/cooling, architecture design, low-cost building, energy/exergy analysis, building integrated photovoltaic, and energy conservation.

This book explores how the COVID-19 pandemic has reshaped urban spatialities through the rise of digitally mediated "temporal spaces" in Calcutta. Focusing on Uber-enabled mobility, cycling pathways, and cafés, it examines how digital infrastructures and human practices intersect to create fluid, dynamic urban experiences. Challenging fixed notions of place-making, the book interrogates what it means to "return to normal" and how digitality reconfigures urban life, sociality, and imagination. By foregrounding the entanglement of digital and material realms, it offers a critical framework for understanding contemporary urban transformations in the wake of crisis and technological mediation.Part of the Academics, Politics and Society in the Post-Covid World series, this book will be useful for scholars and researchers of sociology, social anthropology, media and cultural studies, digital humanities, human geography, political sociology and postcolonial studies, and those interested in the coronavirus pandemic.

Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book.Features:Showcases artificial intelligence in finance service industryExplains credit and risk analysisElaborates on cryptocurrencies and blockchain technologyFocuses on the optimal choice of asset pricing modelIntroduces testing of market efficiency and forecasting in the Indian stock marketThis book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.

Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book.Features:Showcases artificial intelligence in finance service industryExplains credit and risk analysisElaborates on cryptocurrencies and blockchain technologyFocuses on the optimal choice of asset pricing modelIntroduces testing of market efficiency and forecasting in the Indian stock marketThis book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.

The book examines the social and cultural role of selfies in India. It looks at how the selfie, unlike the photograph, which was a gesture towards an external reality, remains intimately self-referential, yet reconfigures social ordering, identity formation, agency, and spaces in curious ways.This volume approaches questions about the construction and performance of the self through the digital selfie and uses this situated, contextualized, and culturally specific phenomenon as a site to explore the themes of self-making, place-making, gender, subjectivity, and power. Highlighting the specific contexts of production, the authors examine the array of self-expressive capabilities realized in a multitude of uses of the selfie that simultaneously reconfigure the self, the space, and the world.An important study of visual social media culture, the volume will be useful for interpreting everyday media experiences and will be of interest to students and researchers of image studies, visual studies, photography studies, visual culture, media studies, culture studies, cultural anthropology, digital humanities, popular culture, sociology of technology, and South Asian studies.

The book examines the social and cultural role of selfies in India. It looks at how the selfie, unlike the photograph, which was a gesture towards an external reality, remains intimately self-referential, yet reconfigures social ordering, identity formation, agency, and spaces in curious ways.This volume approaches questions about the construction and performance of the self through the digital selfie and uses this situated, contextualized, and culturally specific phenomenon as a site to explore the themes of self-making, place-making, gender, subjectivity, and power. Highlighting the specific contexts of production, the authors examine the array of self-expressive capabilities realized in a multitude of uses of the selfie that simultaneously reconfigure the self, the space, and the world.An important study of visual social media culture, the volume will be useful for interpreting everyday media experiences and will be of interest to students and researchers of image studies, visual studies, photography studies, visual culture, media studies, culture studies, cultural anthropology, digital humanities, popular culture, sociology of technology, and South Asian studies.

This handbook addresses how smart operations, management, and healthcare can be used to detect and analyze supply chain problems, business problems, and diseases. It also discusses the underlying methodologies and related security concerns.Handbook of Disruptive Technologies: Operations, Business, Management, and Healthcare provides updated and timely insights, unique approaches or frameworks, practical applications, and case studies. It provides in-depth knowledge of disruptive technologies and applies data analytics to different areas to solve complex situations. The handbook uses data analytics in decision-making and policy framing and identifies practices and applications of disruptive technologies that can assist organizations in gaining a competitive advantage. Valuable insights, innovative approaches, practical applications, and case studies can be found in this handbook as it effectively consolidates and synthesizes information to provide a comprehensive understanding of the subject matter.This book is tailored for researchers, academics, and professionals seeking to deepen their knowledge in the field.

This handbook addresses how smart operations, management, and healthcare can be used to detect and analyze supply chain problems, business problems, and diseases. It also discusses the underlying methodologies and related security concerns.Handbook of Disruptive Technologies: Operations, Business, Management, and Healthcare provides updated and timely insights, unique approaches or frameworks, practical applications, and case studies. It provides in-depth knowledge of disruptive technologies and applies data analytics to different areas to solve complex situations. The handbook uses data analytics in decision-making and policy framing and identifies practices and applications of disruptive technologies that can assist organizations in gaining a competitive advantage. Valuable insights, innovative approaches, practical applications, and case studies can be found in this handbook as it effectively consolidates and synthesizes information to provide a comprehensive understanding of the subject matter.This book is tailored for researchers, academics, and professionals seeking to deepen their knowledge in the field.

The book Anatomy of IoT Botnets and Detection Methods delves into the evolving landscape of cybersecurity threats associated with the Internet of Things (IoT), specifically focusing on the anatomy, behavior, and detection of IoT-based botnets. As IoT devices proliferate in both consumer and industrial settings, their inherent vulnerabilities—such as weak authentication, limited processing power, and lack of regular updates—make them prime targets for attackers. The book begins by exploring how IoT botnets are formed, highlighting key attack vectors such as malware propagation, command, and control (C&C) mechanisms, and commonly exploited protocols such as Telnet and UPnP. Notable case studies, including the Mirai and Mozi botnets, illustrate real-world impacts, emphasizing the scale and damage these threats can inflict. The core of the book then transitions into detection methodologies, covering both traditional and AI-driven approaches. Techniques such as signature-based detection, anomaly detection using machine learning, network traffic analysis, and honeypot deployment are thoroughly examined. The authors also address the challenges in detecting IoT botnets, including encrypted traffic, device heterogeneity, and low visibility in resource-constrained devices. Furthermore, the book emphasizes the importance of proactive defense strategies, such as firmware hardening, secure boot mechanisms, and real-time behavioral analytics. It underscores the role of collaborative intelligence sharing among stakeholders to enhance detection capabilities. By integrating theoretical concepts with practical insights and current research trends, the book provides a comprehensive guide for researchers, cybersecurity professionals, and IoT developers aiming to understand and counteract botnet threats. Ultimately, Anatomy of IoT Botnet and Detection Methods serves as a crucial resource for strengthening the cybersecurity posture of IoT ecosystems through informed detection and mitigation practices. The content of the book is categorized into the following sub-sections:Introduction to IoT and Botnets: An overview of IoT technology, its adoption, and the rising threat of botnets.IoT Device Vulnerabilities: Analysis of common security weaknesses in IoT devices that cybercriminals exploit.Botnet Architecture: Detailed examination of how IoT botnets are structured, including command-and-control mechanisms.Infection and Propagation: Methods used by attackers to spread malware across IoT networks.Detection Techniques: Overview of current detection methods, including anomaly detection, signature-based approaches, and machine learning.Mitigation Strategies: Practical advice on how to secure IoT devices, including best practices for manufacturers and users.Case Studies: Real-world examples of IoT botnet attacks and their impact.The book concludes with a discussion on the future of IoT security, emphasizing the need for continuous innovation in detection and prevention methods.

The book Anatomy of IoT Botnets and Detection Methods delves into the evolving landscape of cybersecurity threats associated with the Internet of Things (IoT), specifically focusing on the anatomy, behavior, and detection of IoT-based botnets. As IoT devices proliferate in both consumer and industrial settings, their inherent vulnerabilities—such as weak authentication, limited processing power, and lack of regular updates—make them prime targets for attackers. The book begins by exploring how IoT botnets are formed, highlighting key attack vectors such as malware propagation, command, and control (C&C) mechanisms, and commonly exploited protocols such as Telnet and UPnP. Notable case studies, including the Mirai and Mozi botnets, illustrate real-world impacts, emphasizing the scale and damage these threats can inflict. The core of the book then transitions into detection methodologies, covering both traditional and AI-driven approaches. Techniques such as signature-based detection, anomaly detection using machine learning, network traffic analysis, and honeypot deployment are thoroughly examined. The authors also address the challenges in detecting IoT botnets, including encrypted traffic, device heterogeneity, and low visibility in resource-constrained devices. Furthermore, the book emphasizes the importance of proactive defense strategies, such as firmware hardening, secure boot mechanisms, and real-time behavioral analytics. It underscores the role of collaborative intelligence sharing among stakeholders to enhance detection capabilities. By integrating theoretical concepts with practical insights and current research trends, the book provides a comprehensive guide for researchers, cybersecurity professionals, and IoT developers aiming to understand and counteract botnet threats. Ultimately, Anatomy of IoT Botnet and Detection Methods serves as a crucial resource for strengthening the cybersecurity posture of IoT ecosystems through informed detection and mitigation practices. The content of the book is categorized into the following sub-sections:Introduction to IoT and Botnets: An overview of IoT technology, its adoption, and the rising threat of botnets.IoT Device Vulnerabilities: Analysis of common security weaknesses in IoT devices that cybercriminals exploit.Botnet Architecture: Detailed examination of how IoT botnets are structured, including command-and-control mechanisms.Infection and Propagation: Methods used by attackers to spread malware across IoT networks.Detection Techniques: Overview of current detection methods, including anomaly detection, signature-based approaches, and machine learning.Mitigation Strategies: Practical advice on how to secure IoT devices, including best practices for manufacturers and users.Case Studies: Real-world examples of IoT botnet attacks and their impact.The book concludes with a discussion on the future of IoT security, emphasizing the need for continuous innovation in detection and prevention methods.

Sustainable Advanced Solar Passive House provides a platform to disseminate knowledge regarding the basics of solar energy, heat transfer, and solar houses, including designing concepts. Apart from a brief introduction to solar physics and thermodynamics, the book primarily deals with the technical description of solar houses and associated concepts. Different types of photovoltaic modules and their integration with the buildings are discussed with case studies, including energy balance equations and fundamental energy matrices. It discusses concepts like energy matrices, solar passive heating/cooling, architecture design, low-cost building, energy/exergy analysis, building integrated photovoltaic, and energy conservation.

This new volume discusses contemporary issues facing entrepreneurs and businesses in high-growtheconomies in the digital age, focusing on the integration of entrepreneurship and sustainability, offering aproactive approach to addressing global challenges, creating value for society, and ensuring the long-termviability of businesses. The authors contend that entrepreneurs who embrace sustainability contribute to amore resilient and responsible economic landscape. With this in mind, the book focuses on sustainabledevelopment in marketing, finance, human resource management, operations, family business, and othercross-functional areas for business excellence. Each chapter delves into distinct dimensions of thistransformative journey, shedding light on the innovation, entrepreneurship, emerging ecosystem, andethical considerations that accompany the widespread insights on sustainable business development.