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Impact of AI and Data Science in Response to Coronavirus Pandemic (Paperback, 1st ed. 2021): Sushruta Mishra, Pradeep Kumar... Impact of AI and Data Science in Response to Coronavirus Pandemic (Paperback, 1st ed. 2021)
Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Gyoo-Soo Chae, Bhabani Shankar Prasad Mishra
R5,262 Discovery Miles 52 620 Ships in 10 - 15 working days

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Advances in Systems, Control and Automations - Select Proceedings of ETAEERE 2020 (Paperback, 1st ed. 2021): Akash Kumar Bhoi,... Advances in Systems, Control and Automations - Select Proceedings of ETAEERE 2020 (Paperback, 1st ed. 2021)
Akash Kumar Bhoi, Pradeep Kumar Mallick, Valentina Emilia Balas, Bhabani Shankar Prasad Mishra
R9,971 Discovery Miles 99 710 Ships in 10 - 15 working days

This book comprises select proceedings of the international conference ETAEERE 2020. This volume covers latest research in advanced approaches in automation, control based devices, and adaptive learning mechanisms. The contents discuss the complex operations and behaviors of different systems or machines in different environments. Some of the areas covered include control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, and real-time control applications. The contents of this volume can be useful for researchers as well as professionals working in control and automation.

Advances in Systems, Control and Automations - Select Proceedings of ETAEERE 2020 (Hardcover, 1st ed. 2021): Akash Kumar Bhoi,... Advances in Systems, Control and Automations - Select Proceedings of ETAEERE 2020 (Hardcover, 1st ed. 2021)
Akash Kumar Bhoi, Pradeep Kumar Mallick, Valentina Emilia Balas, Bhabani Shankar Prasad Mishra
R7,935 Discovery Miles 79 350 Ships in 12 - 17 working days

This book comprises select proceedings of the international conference ETAEERE 2020. This volume covers latest research in advanced approaches in automation, control based devices, and adaptive learning mechanisms. The contents discuss the complex operations and behaviors of different systems or machines in different environments. Some of the areas covered include control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, and real-time control applications. The contents of this volume can be useful for researchers as well as professionals working in control and automation.

Impact of AI and Data Science in Response to Coronavirus Pandemic (Hardcover, 1st ed. 2021): Sushruta Mishra, Pradeep Kumar... Impact of AI and Data Science in Response to Coronavirus Pandemic (Hardcover, 1st ed. 2021)
Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Gyoo-Soo Chae, Bhabani Shankar Prasad Mishra
R5,295 Discovery Miles 52 950 Ships in 10 - 15 working days

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

The Digitalization Conundrum in India - Applications, Access and Aberrations (Hardcover, 1st ed. 2020): Keshab Das, Bhabani... The Digitalization Conundrum in India - Applications, Access and Aberrations (Hardcover, 1st ed. 2020)
Keshab Das, Bhabani Shankar Prasad Mishra, Madhabananda Das
R2,056 Discovery Miles 20 560 Ships in 12 - 17 working days

This book examines the nature, extent and implications of rapid strides digitalization has made in India since the turn of the millennium. These have been examined not merely in the sphere of information and communication technology (ICT) but its multifarious applications spreading across almost all aspects of production, services and institutions which have profound repercussions for the transformation of the society and economy at the micro, meso and macro levels. With contributions from both ICT scholars and social scientists, this book presents diverse scenarios and unravels challenges faced in the process of technical applications, access by the users of these disruptive technologies (automation, e-commerce, big data analytics & algorithms, artificial intelligence, cloud computing, etc.) which, unlike heavy machines (embodied technology), mostly defy physical space, pace of mobility and inoperability between technologies. Chapters in this volume address challenges and possibilities in establishing and operating intricate engineering infrastructure, technical and societal constraints encountered in broad-basing digitalization across layers of educational and social skills conducive to difficult geographies. Issues dealt within this book include farming, healthcare, education, food processing, e-commerce, labour, rural community development, open source data and information democracy. The chapters also reflect upon implications on local economy and society, of the very global nature of these seamless technologies where inter-operability remains the quintessential advantage of digitalization whether promoted or spearheaded through the state, private sector or global capital. The book critiques policy inadequacies and suggests plausible policy approaches to reduce the adverse impacts of fast digitalization and broad-base potential benefits across space and levels of socio-economic development of regions and society. This book would be of interest to scholars, practitioners, technocrats, industry analysts, policy makers and civil society agencies.

Biologically Inspired Techniques in Many-Criteria Decision Making - International Conference on Biologically Inspired... Biologically Inspired Techniques in Many-Criteria Decision Making - International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) (Paperback, 1st ed. 2020)
Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, Margarita N. Favorskaya
R5,095 Discovery Miles 50 950 Ships in 12 - 17 working days

This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.

A Journey Towards Bio-inspired Techniques in Software Engineering (Paperback, 1st ed. 2020): Jagannath Singh, Saurabh... A Journey Towards Bio-inspired Techniques in Software Engineering (Paperback, 1st ed. 2020)
Jagannath Singh, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri
R2,957 Discovery Miles 29 570 Ships in 10 - 15 working days

This book covers a range of basic and advanced topics in software engineering. The field has undergone several phases of change and improvement since its invention, and there is significant ongoing research in software development, addressing aspects such as analysis, design, testing and maintenance. Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development. As such it is a valuable resource for new researchers interested in advances in software engineering - particularly in the area of bio-inspired techniques.

A Journey Towards Bio-inspired Techniques in Software Engineering (Hardcover, 1st ed. 2020): Jagannath Singh, Saurabh... A Journey Towards Bio-inspired Techniques in Software Engineering (Hardcover, 1st ed. 2020)
Jagannath Singh, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri
R2,967 Discovery Miles 29 670 Ships in 10 - 15 working days

This book covers a range of basic and advanced topics in software engineering. The field has undergone several phases of change and improvement since its invention, and there is significant ongoing research in software development, addressing aspects such as analysis, design, testing and maintenance. Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development. As such it is a valuable resource for new researchers interested in advances in software engineering - particularly in the area of bio-inspired techniques.

Biologically Inspired Techniques in Many-Criteria Decision Making - International Conference on Biologically Inspired... Biologically Inspired Techniques in Many-Criteria Decision Making - International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) (Hardcover, 1st ed. 2020)
Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, Margarita N. Favorskaya
R5,785 Discovery Miles 57 850 Ships in 10 - 15 working days

This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.

Cloud Computing for Optimization: Foundations, Applications, and Challenges (Paperback, Softcover reprint of the original 1st... Cloud Computing for Optimization: Foundations, Applications, and Challenges (Paperback, Softcover reprint of the original 1st ed. 2018)
Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadev
R3,016 Discovery Miles 30 160 Ships in 10 - 15 working days

This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems - ranging from social science to engineering sciences - can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.

Smart Techniques for a Smarter Planet - Towards Smarter Algorithms (Hardcover, 1st ed. 2019): Manoj Kumar Mishra, Bhabani... Smart Techniques for a Smarter Planet - Towards Smarter Algorithms (Hardcover, 1st ed. 2019)
Manoj Kumar Mishra, Bhabani Shankar Prasad Mishra, Yashwant Singh Patel, Rajiv Misra
R4,525 Discovery Miles 45 250 Ships in 10 - 15 working days

This book is intended to provide a systematic overview of so-called smart techniques, such as nature-inspired algorithms, machine learning and metaheuristics. Despite their ubiquitous presence and widespread application to different scientific problems, such as searching, optimization and /or classification, a systematic study is missing in the current literature. Here, the editors collected a set of chapters on key topics, paying attention to provide an equal balance of theory and practice, and to outline similarities between the different techniques and applications. All in all, the book provides an unified view on the field on intelligent methods, with their current perspective and future challenges.

Cloud Computing for Optimization: Foundations, Applications, and Challenges (Hardcover, 1st ed. 2018): Bhabani Shankar Prasad... Cloud Computing for Optimization: Foundations, Applications, and Challenges (Hardcover, 1st ed. 2018)
Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadev
R4,642 Discovery Miles 46 420 Ships in 10 - 15 working days

This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems - ranging from social science to engineering sciences - can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.

Biologically Inspired Techniques in Many Criteria Decision Making - Proceedings of BITMDM 2021 (1st ed. 2022): Satchidananda... Biologically Inspired Techniques in Many Criteria Decision Making - Proceedings of BITMDM 2021 (1st ed. 2022)
Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho
R6,666 Discovery Miles 66 660 Ships in 10 - 15 working days

This book includes best-selected, high-quality research papers presented at Second International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.

Machine Learning for Biometrics - Concepts, Algorithms and Applications (Paperback): Partha Pratim Sarangi, Madhumita Panda,... Machine Learning for Biometrics - Concepts, Algorithms and Applications (Paperback)
Partha Pratim Sarangi, Madhumita Panda, Subhashree Mishra, Bhabani Shankar Prasad Mishra, Banshidhar Majhi
R2,699 Discovery Miles 26 990 Ships in 12 - 17 working days

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.

Biologically Inspired Techniques in Many Criteria Decision Making - Proceedings of BITMDM 2021 (Hardcover, 1st ed. 2022):... Biologically Inspired Techniques in Many Criteria Decision Making - Proceedings of BITMDM 2021 (Hardcover, 1st ed. 2022)
Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho
R6,698 Discovery Miles 66 980 Ships in 10 - 15 working days

This book includes best-selected, high-quality research papers presented at Second International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.

The Digitalization Conundrum in India - Applications, Access and Aberrations (Paperback, 1st ed. 2020): Keshab Das, Bhabani... The Digitalization Conundrum in India - Applications, Access and Aberrations (Paperback, 1st ed. 2020)
Keshab Das, Bhabani Shankar Prasad Mishra, Madhabananda Das
R2,459 Discovery Miles 24 590 Ships in 10 - 15 working days

This book examines the nature, extent and implications of rapid strides digitalization has made in India since the turn of the millennium. These have been examined not merely in the sphere of information and communication technology (ICT) but its multifarious applications spreading across almost all aspects of production, services and institutions which have profound repercussions for the transformation of the society and economy at the micro, meso and macro levels. With contributions from both ICT scholars and social scientists, this book presents diverse scenarios and unravels challenges faced in the process of technical applications, access by the users of these disruptive technologies (automation, e-commerce, big data analytics & algorithms, artificial intelligence, cloud computing, etc.) which, unlike heavy machines (embodied technology), mostly defy physical space, pace of mobility and inoperability between technologies. Chapters in this volume address challenges and possibilities in establishing and operating intricate engineering infrastructure, technical and societal constraints encountered in broad-basing digitalization across layers of educational and social skills conducive to difficult geographies. Issues dealt within this book include farming, healthcare, education, food processing, e-commerce, labour, rural community development, open source data and information democracy. The chapters also reflect upon implications on local economy and society, of the very global nature of these seamless technologies where inter-operability remains the quintessential advantage of digitalization whether promoted or spearheaded through the state, private sector or global capital. The book critiques policy inadequacies and suggests plausible policy approaches to reduce the adverse impacts of fast digitalization and broad-base potential benefits across space and levels of socio-economic development of regions and society. This book would be of interest to scholars, practitioners, technocrats, industry analysts, policy makers and civil society agencies.

Computational Intelligence in Sensor Networks (Paperback, Softcover reprint of the original 1st ed. 2019): Bijan Bihari Mishra,... Computational Intelligence in Sensor Networks (Paperback, Softcover reprint of the original 1st ed. 2019)
Bijan Bihari Mishra, Satchidanand Dehuri, Bijaya Ketan Panigrahi, Ajit Kumar Nayak, Bhabani Shankar Prasad Mishra, …
R5,315 Discovery Miles 53 150 Ships in 10 - 15 working days

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

Computational Intelligence in Sensor Networks (Hardcover, 1st ed. 2019): Bijan Bihari Mishra, Satchidanand Dehuri, Bijaya Ketan... Computational Intelligence in Sensor Networks (Hardcover, 1st ed. 2019)
Bijan Bihari Mishra, Satchidanand Dehuri, Bijaya Ketan Panigrahi, Ajit Kumar Nayak, Bhabani Shankar Prasad Mishra, …
R5,347 Discovery Miles 53 470 Ships in 10 - 15 working days

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

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