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Authors: Jalote, Pankaj (2025) - This textbook is ideal for an introductory course on software engineering where the objective is to develop knowledge and skills to execute a project—specifically in a team employing contemporary software engineering practices and using open source and LLMs. It is also suitable for professionals who want to be introduced to the systematic approach of software engineering and/or use of open source and LLMs.
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Authors: Wu, Yulei (2023) - AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit.
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Authors: Shastri, Apoorva S (2023) - This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications.
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Authors: Balusamy, Balamurugan (2023) - AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems.
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Authors: Glisic, Savo G (2022) - By increasing the density and number of different functionalities in wireless networks there is more and more need for the use of artificial intelligence for planning network deployment, running their optimization and dynamically controlling their operation. For example, machine learning algorithms are used for the prediction of traffic and network state in order to timely reserve resources for smooth communication with high reliability and low latency; Big data mining is used to predict customer behaviour and pre-distribute the information content across the network so that it can be efficiently delivered as soon as requested; Intelligent agents can search the internet on behalf of t...
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Authors: - (2022) - Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods.
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Authors: Iten, Raban (2023) - This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed.
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Authors: - (2023) - With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities
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Authors: Kolhe, Mohan Lal (2023) - This book: Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologies Covers intelligent techniques in materials progression for sensor development and energy material characterization using signal processing
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Authors: - (2025) - This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using big data and artificial intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the "black box" of decision-making automation in the smart economy through these technologies.
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Authors: Balusamy, Balamurugan (2023) - The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world.
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Authors: Balmer, Kyle (2023) - ChatGPT Business Prompt Playbook" is not just a book; it's your roadmap to crafting a passive income blog, powered by AI and affiliate marketing. Secure your copy today and embark on an exciting journey towards a lucrative online enterprise!
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Authors: Fersman, Elena (2023) - The book is written as a first person narrative, from an AI perspective, having the AI brain tell the story.
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Authors: Yarali, Abdulrahman (2023) - The transition from the fifth generation of wireless communication (5G) to the coming sixth generation (6G) promises to be one of the most significant phases in the history of telecommunications. The technological, social, and logistical challenges promise to be significant, and meeting these challenges will determine the future of wireless communication. Experts and professionals across dozens of fields and industries are beginning to reckon seriously with these challenges as the 6G revolution approaches. From 5G to 6G provides an overview of this transition, offering a snapshot of a moment in which 5G is establishing itself and 6G draws ever nearer. It focuses on recent advances in ...
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Authors: Carayannis, Elias G (2023) - The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.
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Authors: Susskind, Richard E (2025) - The book is structured into five parts, delving into understanding AI, encouraging different ways of thinking, practical applications, addressing risks, and contemplating future possibilities, including the prospect of conscious machines. It stresses the importance of balancing optimism with caution, urging that AI be discussed not only by technologists but by all sectors of society. Lastly, it positions AI as the defining challenge of our age, suggesting it will reshape industries, professions, and even human identity itself
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Authors: Hart-Davis, Guy (2023) - Unlock the full capabilities of ChatGPT at work, at home, and in your day-to-day. By now, you've heard of ChatGPT and its incredible potential. You may even have tried to use it a few times just to see it in action for yourself
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Authors: Hall, Patrick (2023) - This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.
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Authors: Agrawal, Ambuj (2023) - The book will show how to build Machine Learning models for a variety of use cases in image recognition, video object recognition, and data prediction.
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Authors: Rai, Amrita (2023) - This book will be a valuable resource for academicians, researchers, and professionals working in artificial intelligence/machine learning and its applications in communication and 5G.
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