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Computational Intelligence Methodologies Applied to Sustainable Development Goals
This book presents computational intelligence methodologies and its applications to sustainable development goals. Along 18 chapters prepared by reputed scientists around the world, this book explores and focuses on the impacts produced by the application of artificial intelligence and mainly of computational intelligence, in sustainable development goals and on analysing how particularly computational intelligence can influence the ability to comply in a timely manner with all the sustainable development goals. Specialists from STEM areas will find in this book an attractive showcase of instances and research lines to be explored.
International Conference on Artificial Intelligence Science and Applications (CAISA)
This book collects different artificial intelligence methodologies that applied to solve real-world problems. This book has exciting chapters that employ artificial intelligence and applied to different applications based on integration with meta-heuristic and other techniques. The area of applications is including medical diagnosis, text analysis, cloud computing, and others which will enrich the reader. In this sense, the book provides practical and theory content with novel artificial intelligence techniques. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics and is applied in courses on artificial intelligence, optimization techniques, advanced machine learning, among others.
Handbook of Moth-Flame Optimization Algorithm
Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges. Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, ...
Recent Advances in NLP: The Case of Arabic Language
In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language. Many challenges encountered during the development of the solutions can be resolved by incorporating language technology and artificial intelligence. The topics covered include machine translation; speech recognition; morphological, syntactic, and semantic processing; information retrieval; text classification; text summarization; sentiment analysis; ontology construction; Arabizi translation; Arabic dialects; Arabic lemmatization; and building and evaluating linguistic resources. This book is a valuable reference for scientists, researchers, and students from academia and industry interested in computational linguistics and artificial intelligence, especially for Arabic linguistics and related areas.
Diversity across the Arabian Peninsula
This edited volume brings together a diverse and rich set of contributions on the Arabian Peninsula. Ranging from history, field linguistics, and cultural studies these essays address the diversity of languages, ways of life, and natural environments that have marked the region throughout its history. The book stems from the intellectual exchange and collaboration fostered by a virtual workshop that met regularly in 2020-21 and which drew participants from within and beyond the academy. The contributions gathered in this volume highlight the need for a better understanding of a region that hosts a vast amount of culturally and linguistically diverse material, often in a precarious state of c...
Mobile Oriented Future Internet (MOFI)
This Special Issue consists of seven papers that discuss how to enhance mobility management and its associated performance in the mobile-oriented future Internet (MOFI) environment. The first two papers deal with the architectural design and experimentation of mobility management schemes, in which new schemes are proposed and real-world testbed experimentations are performed. The subsequent three papers focus on the use of software-defined networks (SDN) for effective service provisioning in the MOFI environment, together with real-world practices and testbed experimentations. The remaining two papers discuss the network engineering issues in newly emerging mobile networks, such as flying ad-hoc networks (FANET) and connected vehicular networks.
Intelligent Systems and Applications in Computer Vision
The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing. Covers deep learning algorithms in computer vision. Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing. Highlight optimi...
Applied Mathematics, Modeling and Computer Simulation
Applied mathematics, together with modeling and computer simulation, is central to engineering and computer science and remains intrinsically important in all aspects of modern technology. This book presents the proceedings of AMMCS 2022, the 2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, held in Wuhan, China, on 13 and 14 August 2022, with online presentations available for those not able to attend in person due to continuing pandemic restrictions. The conference served as an open forum for the sharing and spreading of the newest ideas and latest research findings among all those involved in any aspect of applied mathematics, modeling and computer sim...
Recent Trends in Intensive Computing
In a world where computer science is now an essential element in all of our lives, a new opportunity to disseminate the latest research and trends is always welcome. This book presents the proceedings of the first International Conference on Recent Trends in Computing (ICRTC 2021), which was held as a virtual event on 21 – 22 May 2021 at Sanjivani College of Engineering, Kopargaon, India due to the restrictions of the COVID-19 pandemic. This online conference, aimed at facilitating academic exchange among researchers, enabled experts and scholars around from around the globe to gather for the discussion of the latest advanced research in the field despite the extensive travel restrictions still in place. The book contains 134 papers selected from 329 submitted papers after a rigorous peer-review process, and topics covered include advanced computing, networking, informatics, security and privacy, and other related fields. The book will be of interest to all those eager to find the latest trends and most recent developments in computer science.
Practical Artificial Intelligence for Internet of Medical Things
This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on ...
