Mahesh Kumar Singh – författare
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2 produkter
2 produkter
Häftad, Engelska, 2027
1 570 kr
Kommande
Data-Driven Sustainable Urban Health for Smart Cities explores how advanced data analytics and machine learning are reshaping the future of urban wellness. As cities worldwide evolve into highly interconnected, technology-driven spaces, new opportunities-and challenges-emerge for ensuring sustainable urban health. This timely volume addresses the critical question: how can we harness the power of data to improve health outcomes in complex urban environments? Traditional models of urban health management often fall short in the face of modern socio-environmental pressures and rapid urbanization. This book bridges that gap by presenting data science and artificial intelligence as essential tools for navigating the multifaceted nature of urban health. From predicting disease outbreaks to identifying vulnerable populations and optimizing resource allocation, the book highlights how machine learning is transforming the public health landscape. Drawing on real-world case studies and diverse datasets-including environmental sensors, population health indicators, and urban infrastructure metrics-the book provides actionable insights for researchers, policymakers, urban planners, and public health professionals. It emphasizes not only technical innovation but also the ethical and equitable use of health data to reduce disparities and enhance quality of life for all city residents. By integrating theory with application, Data-Driven Sustainable Urban Health for Smart Cities serves as both a foundational text and a visionary guide for building smarter, healthier, and more resilient urban communities in the 21st century.Explores how data science and AI techniques can be applied to analyze complex urban health data, predict disease outbreaks, identify at-risk populations, and inform targeted public health interventionsCombines perspectives from public health, urban planning, environmental science, and data analytics, offering real-world case studies and actionable tools for policymakers, researchers, and practitionersHighlights how data-driven insights can reduce health disparities, support ethical decision-making, and foster wellness in evolving smart city ecosystems
Inbunden, Engelska, 2026
2 820 kr
Kommande
This book explores the latest advancements in computational techniques and communication technologies that address engineering challenges. The focus is on leveraging modern algorithms, such as machine learning, optimization, and signal processing, alongside communication methods like 5G, IoT, and edge computing, to enhance system efficiency and decision-making.The book is organized into distinct sections, each dedicated to a key topic in communication and computational theory and algorithms. The authors present advanced optimization methods that transform how engineers tackle complex challenges, enabling them to find solutions with greater speed and efficiency. The book highlights the transformative role of artificial intelligence and machine learning in engineering applications, showcasing how intelligent systems are revolutionizing various industries. It explores the potential of algorithms in performance optimization and intelligent decision-making, offering readers insights into technologies such as pattern recognition, data mining, deep learning, and neural networks.Key techniques and tools from data science and big data analytics are also examined, demonstrating how vast datasets can yield actionable insights. Through topics like data visualization, predictive modeling, clustering, and anomaly detection, the book illustrates how algorithms uncover patterns and trends that empower engineers to make informed decisions. The book delves into numerical techniques, finite element analysis, computational fluid dynamics, and other simulation methods, emphasizing their impact on improving engineering system design and performance.This book serves as a vital resource for researchers, engineers, and students eager to expand their expertise in this rapidly evolving domain. Its comprehensive coverage and diverse topics inspire readers to push the boundaries of computational theory and algorithms, fostering further innovation. Through its focus on practical applications and theoretical advancements, the book provides readers with a deeper understanding of how algorithms and computational theory are reshaping engineering landscapes, unlocking new possibilities, and driving industrial transformation.