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Practical Applications of Machine Learning and AI: Medicine, Environmental Science, Transportation, and Education
Optimization, machine learning, and artificial intelligence are revolutionizing society, medicine, environmental science, transportation, and education. In medicine, AI-driven diagnostics and personalized treatments improve patient outcomes, while optimization streamlines resource allocation. Environmental science benefits from machine learning's ability to analyze complex datasets, enabling sustainable practices and climate predictions. In transportation, optimization enhances logistics and traffic flow, with AI powering autonomous vehicles and predictive maintenance. Across all areas, these technologies drive efficiency, innovation, and smarter decision-making. Practical Applications of Ma...
Innovations in Optimization and Machine Learning
"This book aspires to be a valuable resource for researchers, practitioners, students, and enthusiasts seeking to deepen their understanding of optimization, machine learning, and AI, and contribute to the continual advancement of these fields"--
Tailored Functional Materials
This book presents the select proceedings of the International Symposium entitled “Materials of the Millennium: Emerging Trends and Future Prospects” (MMETFP 2021). It discusses the synthesis, tailoring, and characterization of different materials for functional applications in various sectors which include but not limited to energy, environment, biomedical/ health care, construction, transportation etc. Topics covered in this book are synthesis and characterization of polymers, ceramics, composites, biomaterials, carbon-based nanostructures as well as materials for green environment, structural materials, modeling and simulation of materials. The book also covers the topic of emerging trends in nanostructured materials, thin films, and devices. The book is useful for students, researchers, and professionals working in the various areas of materials science and engineering.
Innovations in Optimization and Machine Learning
In today's rapidly evolving world, businesses are confronted with the complex task of streamlining their operations, utilizing machine learning to their advantage, and maneuvering through the intricacies of artificial intelligence. It has become increasingly essential to allocate resources effectively, make informed decisions based on data, and capitalize on AI technologies. However, many organizations require assistance in understanding these disciplines' theoretical principles, practical implementations, and ethical implications. Innovations in Optimization and Machine Learning serve as a comprehensive solution, offering a deep dive into optimization, machine learning, and AI. By unraveling the complexities and providing practical insights, it empowers researchers, practitioners, students, and enthusiasts to understand and contribute to advancing these fields. The book covers many topics, from evolutionary algorithms to ethical AI development, ensuring a thorough understanding of key concepts and their real-world implications.
Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications
Optimization, machine learning, and fuzzy logic are fundamental in the field of computational intelligence, each contributing to solving complex problems across various domains. Optimization techniques focus on finding the best solutions to problems by improving efficiency and minimizing resources. Machine learning enables systems to learn from data, making predictions or decisions without being programmed. Fuzzy logic deals with uncertainty and imprecision, allowing for flexible decision-making processes. Together, these theories, algorithms, and applications solve challenges in fields such as engineering, finance, and healthcare, where traditional methods often fall short. The continued ap...
Modeling, Simulation and Optimization
This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2021), organized by National Institute of Technology, Silchar, Assam, India, during December 16–18, 2021. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Wind Energy Storage and Conversion
This book provides a comprehensive guide to the benefits and developments of wind energy, including energy storage and conversion methods, making it a must-read for those interested in sustainable energy. By going through this book, one can learn more about the usefulness of adopting renewable energies, particularly in light of the widespread use of wind-based devices. Here, we present an in-depth presentation of several developments in wind technological systems, focusing on applications and operational approaches. With the depletion of fossil fuel-based energy resources, the development of alternative sources of energy is becoming extremely crucial. Meanwhile, the planet is on the brink of...
Biosensors for Foodborne Pathogen Detection
Biosensors for Foodborne Pathogens Detection: A Rapid Detection Approach covers rapid and accurate measurement for biosensing analysis. This book is organized in a systematic way, covering basic introduction and advanced approaches in biosensing and their use in the detection of food pathogens. This compilation includes chapters such as Methods, techniques and latest developments in the detection of foodborne pathogens; Basic principles in Biosensors and bioelectronics for the foodborne pathogens; Various bio-recognition receptors used in the biosensors; Nanomaterials and signal amplification in biosensors for foodborne pathogens; electrochemical biosensors for foodborne pathogens; Optical biosensors for foodborne pathogens, and more. This book act as a comprehensive resource for researchers or scientists working in food safety, especially in microbial food spoilage detection using biosensors. - Explores biosensing in the detection of food pathogens, from basic introduction to advanced approaches - Covers advancements in electrochemical impedance spectroscopy (EIS) based biosensors because of its enhanced sensitivity and specificity - Brings the role of nanotechnology in biosensing
