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Encyclopedia of Artificial Intelligence
"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.
Handbook of AI-based Metaheuristics
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
Multidisciplinary Perspectives on Artificial Intelligence and the Law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The ...
Extreme Environments
The book Extreme Environments: Unique Ecosystems – Amazing Microbes is an attempt to showcase the uniqueness of extremophiles, the largely unexplored group that has the abilities to function in hostile conditions and represent the very ancient life forms that thrived on earth billions of years ago. The book covers a wide range of research achievements in the field of microbiology of extreme environments right from the conventional approaches of cultivation to recently evolved high throughput sequencing technologies. The book provides a broad spectrum of information about the taxonomy, physiology, ecology and biotechnological applications of extremophiles from various extreme environments across the globe.
Artificial Intelligence, Social Computing and Wearable Technologies
Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Honolulu, Hawaii, USA 4-6, December 2023
Salt Marshes
A multidisciplinary review of salt marshes, describing how they function and respond to external pressures such as sea-level rise.
Aquatic Habitat Ecology & Conservation: Continental and Marine Ecosystems Connectivity
The ‘Aquatic Habitat Conservation in South America’ Symposium occurred during the XXI Brazilian Society of Ichthyology Meeting. The proceedings were published as a special issue in the Journal of Fish Biology (vol. 89, Number 1, June 2016). In this special issue, authors provided an analytical overview of problems faced by the conservation of fishes and aquatic habitats of South America. Habitat loss emerged as the greatest concern for all South American aquatic ecosystems, with a long list of causes related to unsustainable development models. Based on this finding, we would like to extend this topic to other continents, different climates, fauna and flora around the world. Our goal is to provide a comprehensive and multidisciplinary overview of variables that influence flora and fauna distributions and shape their ecological interactions within aquatic ecosystems
Optimising the Software Development Process with Artificial Intelligence
This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering.
