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• 1. Machine learning algorithms to improve crop evapotranspiration prediction covering a broad range of environmental gradients in agriculture 4.0 : a review / Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra and Mukhdeep Singh Manshahia
• 2. Iris-based biometric cryptosystem / Ivan A. Matveev and Igor S. Litvinchev
• 3. Bio-inspired approaches for a combined economic emission dispatch problem / Pandian Vasant, Anirban Banik, J. Joshua Thomas, Jose Antonio Marmolejo-Saucedo, Ugo Fiore and Gerhard-Wilhelm Weber
• 4. Eigenvalue clustering for spectrum sensing : throughput and energy evaluation for cognitive radio-Internet of Things network / Manish Kumar Giri and Saikat Majumder
• 5. Modeling the evolution of complex networks arising in applications / Felix Sadyrbaev
• 6. Computing the intelligent privacy-engineered organization : a metamodel of effective information transparency enhancing tools/technologies / Ljerka Luic and Marta Alic
• 7. A model of cells' regeneration towards smart healthcare / Hiroshi Yoshida
• 8. Anomaly detection in location-based services / Jane Rubel Angelina Jeyaraj, Subhashini Sottallu Janakiram, Gayathri Narayana Yegnanarayanan and Yegnanarayanan Venkataraman
• 9. Optimized packing soft ellipses / T. Romanova, Yu Stoyan, A. Pankratov, I. Litvinchev, O. Kravchenko, Z. Duryagina, O. Melashenko and A. Chugai
• 10. Analysis of phishing attacks / Ladislav Burita, Kamil Halouzka and Pavel Kozak
• 11. Human-assisted intelligent computing and ecological modeling (drought early warning system) / Asmae Zbiri and Azeddine Hachmi
• 12. Attention mechanisms in machine vision : a survey of the state of the art / Abdul Mueed Hafiz
• 13. Sparse 2D packing in thermal deburring with shock waves acting effects / Sergiy Plankovskyy, Tatiana Romanova, Alexander Pankratov, Igor S. Litvinchev, Yevgen Tsegelnyk, Olga Shypul and Pandian Vasant
• 14. Implementation of smart manufacturing in small and medium-sized enterprises / Udai C. Jhaa and Abhijeet A. Shahadeb
• 15. Performance analysis of fractal image compression methods for medical images : a review / Parijata Majumdar, Sanjoy Mitra, Sayan Kumar Das and Pallavi Majumdar
• 16. Mobile edge computing for efficient energy management systems / Padmanayaki Selvarajan, Betty Elezebeth Samuel, Krishnamoorthy Ranganathan, Arvind Kumar Shukla, M. Amina Begum and Sundaram Arun
• 17. Modeling 3D nanocomposites with multi-spherical inclusions by optimized packing / E. Strelnikova, T. Romanova, A. Pankratov, I. Litvinchev and K. Degtyariov
• 18. Sentiment analysis for web series using deep learning techniques in the times of COVID-19 / Muskan Dixit and Saravjeet Singh
• 19. Generalized receiver : signal processing in DS-CDMA wireless communication systems over fading channels / Vyacheslav Tuzlukov
• 20. Critical success factors for successfully implementation of smart manufacturing in the context of Industry 4.0 / U.C. Jha
• 21. An efficient heart disease diagnosis prediction model using decision tree classifiers : Streamlit / D. Doreen Hephzibah Miriam, C.R. Rene Robin, Rachel Nallathamby and B. Yamini
• 22. Mathematical and informational support of decision-making in risk management of cross-border high technology projects / Marina Batova, Irina Baranova, Vyacheslav Baranov, Sergey Mayorov, Oleg Korobchenko and Kai Zhao
• 23. Artificial intelligence (AI) in the era of precision medicine / Fathinul Fikri Ahmad Saad, Shazreen Shaharudin, Mohd Nawawi Abdullah, Rabiatul Adawiyah, Amirul Tajuddin, Ahmad Danial Ahmad Shahrir, Khairul Alif Khairumman and Syed Ejaz Shamim Syed Reyaz Uddin Ahmed
• 24. Optimal choice for convenience store chain in Vietnam / Nguyen Thi Ngan and Bui Huy Khoi
• 25. Study of groundwater using hydrodynamic models / Irina Polshkova
• 26. Long-term fatigue assessment of offshore monopile structure under corrosive environmental condition / Chana Sinsabvarodom, Wonsiri Punurai, Pornpong Asavadorndeja and Jin Wang
• 27. Estimation of crop water use in agricultural systems / R. Deepa and Mukhdeep Singh Manshahia
• 28. IOT based healthcare monitoring system for smart city applications / S.C. Dharmadhikari, Afshan Kausar, Mahendra Deore, Nilofer Shrenik Kittad, V.S. Bhagavan and R. Krishnamoorthy
• 29. Smart healthcare : the new digital revolution in medical management / Parameswaran Radhika Ravi and Ravi Ramaswamy
• 30. Adequate implementation of simulation tools for enhancement performance on existing network infrastructure devices (OPNET) / Yakubu Ajiji Makeri
• 31. Artificial intelligence based garbage monitoring system (GMS) for garbage management using integrated sensors / C. Gomathi, A. Adaikalam and T. Kavitha
• 32. Use of Internet of Things technology in the medical field during the pandemic era / Ashish Verma and Sherry N Siddiqui
• 33. Performance comparison of data security algorithms / M. Sumathi, R. Narmadha and G.D. Anbarasi Jebaselvi

Human-assisted computation, also called humanized or human-based computing, harnesses human intelligence to solve computational problems that are beyond the scope of existing artificial intelligence (AI) algorithms by outsourcing certain steps to humans. This approach exploits differences in abilities between humans and computer agents, creating a symbiotic human-computer interaction, and can be helpful in solving many AI-complete problems. This edited book focuses on well-known and new methodologies of optimization techniques in human-assisted computing that are used to resolve some of the very complicated and hard problems we face today. Excitingly, techniques originally developed for solutions in engineering, science and technology are being applied to areas of economics, finance and, especially the social sciences. The book reviews present and developing deep model-based methods of mathematics and the less model-based, also called smart or intelligent algorithms, with their roots in engineering, computer science or informatics and how combining the strengths of humans and computers can create powerful solutions. Bridging several scientific disciplines, this book will be essential reading for scientists, engineers and applied mathematicians alike. Part of IOP Series in Next Generation Computing

"Computational Formalism investigates examples of art historical analysis in the fields of computer and information sciences, and frames this research in the context of art historiography. The use of machine learning to analyze art images has ushered in a renewed interest in formalism in art history, but these new techniques create new critical challenges for the field"-- Provided by publisher.

"If you want to know what artificial intelligence can do and what it cannot do, in this book you will find all the information that you need in an entertaining fashion. The book covers mysterious terms like algorithm and machine learning, in an approachable manner. It enables you to join the discussions on good and bad AI: Do we want machines to judge your face? Is image recognition by the computer really better than by humans? And why should you learn about the misfortune of a self-driving robo vacuum cleaner? Read the book and find out"-- Provided by publisher

"How can we restore balance to a world now run by AI and algorithms? Contributors explore the human relationship to technology from ethical, epistemological, economic, and ecological perspectives"-- Provided by publisher.

"Is AI a force for ill or for good? How does it work? This book analyzes the potential of AI in many sectors, including global security"-- Provided by publisher

"The first book that provides a systematic and rigorous logical theory of causality"-- Provided by publisher.

"This book proposes blockchain-based currencies, open algorithms, and data cooperatives as the foundation of a new economy that is decentralized, resilient, and secure"-- Provided by publisher.

"This book uses the concepts and achievements of AI to explore what it means to have a sense of humor (or not)"-- Provided by publisher.

• Chapter 1. Introduction and history of connected and automated vehicles
• Chapter 2. Localization
• Chapter 3. Connectivity
• Chapter 4. Sensor and actuator hardware
• Chapter 5. Computer vision
• Chapter 6. Sensor fusion
• Chapter 7. Path planning and motion control
• Chapter 8. Verification and validation
• Chapter 9. Outlook.

The automotive industry is transforming to a greater degree that has occurred since Henry Ford introduced mass production of the automobile with the Model T in 1913. Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles. What are Connected and Automated Vehicles (CAVs)? What are the underlying technologies that need to mature and converge for them to be widely deployed? Fundamentals of Connected and Automated Vehicles is written to answer these questions, educating the reader with the information required to make informed predictions of how and when CAVs will impact their lives. Topics covered include: History of Connected and Automated Vehicles, Localization, Connectivity, Sensor and Actuator Hardware, Computer Vision, Sensor Fusion, Path Planning and Motion Control, Verification and Validation, and Outlook for future of CAVs.
(source: Nielsen Book Data)

• Chapter 1. Introduction and history of connected and automated vehicles
• Chapter 2. Localization
• Chapter 3. Connectivity
• Chapter 4. Sensor and actuator hardware
• Chapter 5. Computer vision
• Chapter 6. Sensor fusion
• Chapter 7. Path planning and motion control
• Chapter 8. Verification and validation
• Chapter 9. Outlook.

The automotive industry is transforming to a greater degree that has occurred since Henry Ford introduced mass production of the automobile with the Model T in 1913. Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles. What are Connected and Automated Vehicles (CAVs)? What are the underlying technologies that need to mature and converge for them to be widely deployed? Fundamentals of Connected and Automated Vehicles is written to answer these questions, educating the reader with the information required to make informed predictions of how and when CAVs will impact their lives. Topics covered include: History of Connected and Automated Vehicles, Localization, Connectivity, Sensor and Actuator Hardware, Computer Vision, Sensor Fusion, Path Planning and Motion Control, Verification and Validation, and Outlook for future of CAVs.

"An honest attempt to compare and analyze the intelligence of humans, animals, and computers by an eminent cognitive scientist and long-time Press author"-- Provided by publisher.

"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"-- Provided by publisher.

"The authors examine the implications of AI for the future of life and work, and how this might change the structure and environment of high school education"-- Provided by publisher.

"The artificial intelligence revolution is leaving behind small businesses and organizations who cannot afford to hire in-house teams of data scientists to build bespoke models. This book explores the nature of repeated quantitative tasks driving business optimization, from the perspective of economics, statistics, decision making under uncertainty, and privacy preserving computation"-- Provided by publisher

"The authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy"-- Provided by publisher

• Preface
• 1. The Internet-Brain and the Computer-Brain
• 2. Metaphors for the Brain
• 3. What We Don't Know About Brains
• 4. From Connectomics to Dynomics
• 5. How the Internet Works
• 6. The Internet Metaphor: First Steps to a New Theory of the Brain
• 7. Critique of the Internet Metaphor
• 8. The Internet Metaphor in Action: Emerging Models and New Technologies
• 9. The Internet Metaphor, AI, and Us Afterword Acknowledgments Notes Bibliography Index.
• (source: Nielsen Book Data)

Whether we realize it or not, we think of our brains as computers. In neuroscience, the metaphor of the brain as a computer has defined the field for much of the modern era. But as neuroscientists increasingly reevaluate their assumptions about how brains work, we need a new metaphor to help us ask better questions. The computational neuroscientist Daniel Graham offers an innovative paradigm for understanding the brain. He argues that the brain is not like a single computer-it is a communication system, like the internet. Both are networks whose power comes from their flexibility and reliability. The brain and the internet both must route signals throughout their systems, requiring protocols to direct messages from just about any point to any other. But we do not yet understand how the brain manages the dynamic flow of information across its entire network. The internet metaphor can help neuroscience unravel the brain's routing mechanisms by focusing attention on shared design principles and communication strategies that emerge from parallel challenges. Highlighting similarities between brain connectivity and the architecture of the internet can open new avenues of research and help unlock the brain's deepest secrets. An Internet in Your Head presents a clear-eyed and engaging tour of brain science as it stands today and where the new paradigm might take it next. It offers anyone with an interest in brains a transformative new way to conceptualize what goes on inside our heads.
(source: Nielsen Book Data)

• Introduction
• 1. How natural language processing works
• 2. The text-processing pipeline
• 3. Working with container objects and customizing spaCy
• 4. Extracting and using linguistic features
• 5. Working with word vectors
• 6. Finding patterns and walking dependency trees
• 7. Visualizations
• 8. Intent recognition
• 9. Storing user input in a database
• 10. Training models
• 11. Deploying your own chatbot
• 12. Implementing web data and processing images
• Linguistic primer.

"Teaches the foundations of natural language processing (the task of converting human language into data a computer can process), including how to understand a user's intent, customize a statistical model, and set up a basic chatbot"-- Provided by publisher.

• Preface Introduction Part I: Formation
• 1. In the Service of Empire
• 2. In the Service of Capital Part II: Self and the Social Order
• 3. Epistemic Forgeries and Ghosts in the Machine
• 4. Adaptation, Not Abolition: Critical AI Experts and Carceral-Positive Logic
• 5. Artificial Whiteness Part III: Alternatives
• 6. Dissenting Visions: From Autopoietic Love to Embodied War
• 7. A Generative Refusal Acknowledgments Notes Bibliography Index.
• (source: Nielsen Book Data)

Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI's transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.
(source: Nielsen Book Data)

AI presents a new paradigm in software development, representing the biggest change to how we think about quality and testing in decades. Many of the well known issues around AI, such as bias, manifest themselves as quality management problems. This book, aimed at testing and quality management practitioners who want to understand more, covers trustworthiness of AI and the complexities of testing machine learning systems, before pivoting to how AI can be used itself in software test automation.

• Introduction AI Trustworthiness and Quality Quality and Bias Testing Machine Learning Systems AI-based Test Automation Ontologies for Software Testing Shifting Right into the Metaverse with Digital Twin Testing.
• (source: Nielsen Book Data)

AI presents a new paradigm in software development, representing the biggest change to how we think about quality and testing in decades. Many of the well known issues around AI, such as bias, manifest themselves as quality management problems. This book, aimed at testing and quality management practitioners who want to understand more, covers trustworthiness of AI and the complexities of testing machine learning systems, before pivoting to how AI can be used itself in software test automation.
(source: Nielsen Book Data)