Arindam Dey – författare

Provides a comprehensive understanding of the latest advancements and practical applications of machine learning techniques.Machine learning (ML), a branch of artificial intelligence, has gained tremendous momentum in recent years, revolutionizing the way we analyze data, make predictions, and solve complex problems. As researchers and practitioners in the field, the editors of this book recognize the importance of disseminating knowledge and fostering collaboration to further advance this dynamic discipline. How Machine Learning is Innovating Today's World is a timely book and presents a diverse collection of 25 chapters that delve into the remarkable ways that ML is transforming various fields and industries.It provides a comprehensive understanding of the practical applications of ML techniques. The wide range of topics include: An analysis of various tokenization techniques and the sequence-to-sequence model in natural language processingexplores the evaluation of English language readability using ML modelsa detailed study of text analysis for information retrieval through natural language processingthe application of reinforcement learning approaches to supply chain managementthe performance analysis of converting algorithms to source code using natural language processing in Javapresents an alternate approach to solving differential equations utilizing artificial neural networks with optimization techniquesa comparative study of different techniques of text-to-SQL query conversionthe classification of livestock diseases using ML algorithmsML in image enhancement techniquesthe efficient leader selection for inter-cluster flying ad-hoc networksa comprehensive survey of applications powered by GPT-3 and DALL-Erecommender systems' domain of applicationreviews mood detection, emoji generation, and classification using tokenization and CNNvariations of the exam scheduling problem using graph coloringthe intersection of software engineering and machine learning applicationsexplores ML strategies for indeterminate information systems in complex bipolar neutrosophic environmentsML applications in healthcare, in battery management systems, and the rise of AI-generated news videoshow to enhance resource management in precision farming through AI-based irrigation optimization.AudienceThe book will be extremely useful to professionals, post-graduate research scholars, policymakers, corporate managers, and anyone with technical interests looking to understand how machine learning and artificial intelligence can benefit their work.

Future-proof your technical expertise by mastering the multidisciplinary synergy of AI-driven optimization and intelligent algorithms with this essential resource to optimization for the modern world. The rapid evolution of artificial intelligence, machine learning, and data-driven optimization has transformed the landscape of scientific research and industrial innovation. This book presents a diverse and multidisciplinary collection of contemporary studies that advance theoretical foundations, computational techniques, and application-driven solutions across multiple domains to reflect the growing importance of optimization, intelligent systems, and hybrid analytical frameworks in solving complex real-world problems. This essential guide focuses on next-generation technologies such as AI-driven cybersecurity, dynamic optimization in 6G networks, fuzzy logic-based energy management, automated neural machine translation, and GAN-driven aerodynamic shape design, illustrating the synergy between intelligent algorithms and modern engineering systems. Whether you are a researcher, practitioner, or simply an enthusiast, this book will serve as an enlightening resource, providing valuable insights into the ever-evolving realm of optimization for the modern world. Readers will find the volume: Provides comprehensive coverage of the backgrounds, foundations, and theoretical ideas of optimization methods and their potential applications;Introduces applications of fuzzy sets for solving optimization problems in real-life scenarios;Explores the transformative potential of fuzzy sets for optimization across several domains like healthcare, finance, and education.Audience Researchers, academics, industry experts, scientists, and technologists looking for insights into advances across optimization theory, machine learning, deep learning, cybersecurity, healthcare analytics, energy systems, and intelligent decision-making.

This contributed volume encompasses contributions by eminent researchers in the field of geotechnical engineering.

This contributed volume encompasses contributions by eminent researchers in the field of geotechnical engineering.

This book presents select proceedings of North-East Research Conclave (NERC 2022) that will help pave way toward disaster risk reduction through a holistic and multidisciplinary approach.