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Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored. The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.
"Corporate Social Responsibility Transformed: Navigating the Digital Era" encapsulates a profound exploration across ten illuminating chapters. Each segment serves as a guiding light through the dynamic convergence of technology and social responsibility, revealing the profound evolution of CSR in the digital landscape. This meticulously crafted manuscript navigates the intricate terrain where technology intertwines with CSR principles. It dissects the nuances of digital inclusion, cybersecurity, ethical consumption, data-driven strategies and the transformative impact of AI, Blockchain technology and immersive realities within CSR frameworks. The book unfolds as a comprehensive guide, offer...
Cluster analysis means the organization of an unlabeled collection of objects or patterns into separate groups based on their similarity. The task of computerized data clustering has been approached from diverse domains of knowledge like graph theory, multivariate analysis, neural networks, fuzzy set theory, and so on. Clustering is often described as an unsupervised learning method but most of the traditional algorithms require a prior specification of the number of clusters in the data for guiding the partitioning process, thus making it not completely unsupervised. Modern data mining tools that predict future trends and behaviors for allowing businesses to make proactive and knowledge-dri...
This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.
Stress reaction is likely to play a crucial role in a variety of degenerative diseases including cancer and cardiovascular diseases. The process of stress adaptation may appear to be simple, but in reality this is a very complex process and we are only beginning to understand the mechanism of adaptation. In January, 1998, scientists from around the world assembled to discuss the potential applicability of the concept of stress adaptation in the clinical arena. This volume contains original research papers presented on this subject during the conference Stress Adaptation, Prophylaxis and Treatment held in Calcutta, India, and serves as an up-to-date source of information for scientists, as well as clinicians interested in applying the concept of stress adaptation to the cure of diseases.
A comprehensive work covering the about 100,000 species of Coleoptera known to occur in the Palaearctic Region. The complete work is planned for 8 volumes that will be published in intervals of about 18 months.
This resource provides evidence-based guidance on the implications of religion and spirituality on mental health.