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Data Mining and Information Security
This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7–8, 2024. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.
Data Mining and Information Security
This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7–8, 2024. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.
AI-Driven Environmental Pollution Management
This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cutting-edge technologies such as IoT-based systems and AI integration for pollution detection and monitoring networks. With a focus on machine learning and deep learning models, the book provides insights into assessing, predicting, and mitigating the impact of pollution. Furthermore, it examines the implementation of AI-driven strategies for pollution control and reduction, alongside considerations for urban planning and sustainable infrastructure development. This indispensable resource nav...
Ecophysiology of Tropical Plants
Plants in tropical regions are coping with enormous challenges of physiological stresses owing to changing environmental and climatic conditions. Rapid growth of human population and rampant exploitation of fossil fuels and other developmental activities are actively contributing to such perturbations. The Intergovernmental Panel on Climate Change has projected a sustained increase in carbon dioxide (CO2) emissions and thereby a rise in global temperature in the coming decades. The resultant changes in precipitation patterns are now evident across the globe due to intensication of hydrological cycle. Moreover, gaseous and particulate pollutants are also an immense challenge for tropical plan...
Computational Automation for Water Security
Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future. - Offers a holistic understanding of the application of computational automation in water quality management - Contains practical and unique updates to help learners how to apply computational techniques to address water quality challenges - Provides a comprehensive and multidisciplinary perspective on water quality management
Congress on Intelligent Systems
This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intell...
Applications of Artificial Intelligence and Machine Learning
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2021. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Enhancing Data-Driven Electronics Through IoT
In today's ever-evolving world of electronics engineering and design, professionals face the pressing challenge of effectively integrating the Internet of Things (IoT) technology into electronic devices to enhance their performance and functionality. As the demand for smarter, more connected devices continues to grow, there exists a critical need for comprehensive resources that bridge the gap between theoretical concepts and practical applications of IoT in electronics. Without such guidance, professionals risk falling behind in understanding and harnessing the transformative power of IoT technology. Enhancing Data-Driven Electronics Through IoT emerges as the definitive solution to this pervasive problem. This groundbreaking book offers scholars a roadmap to navigate the complexities of IoT integration in electronic devices, empowering them to unlock new opportunities for innovation and advancement. Through a meticulous exploration of IoT protocols, communication technologies, and data analytics techniques, this book equips scholars with the knowledge and skills needed to excel in the rapidly evolving field of electronics engineering.
