Amitkumar Vidyakant Jha – författare
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4 produkter
4 produkter
- Nyhet
Inbunden, Engelska, 2026
1 758 kr
Skickas inom 10-15 vardagar
Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AI’s ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AI’s versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students.
- Nyhet
E-bok
PDF, Engelska, 2026811 kr
Läs direkt efter köp
Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AI's ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AI's versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students.
- Nyhet
E-bok
Engelska, 2026811 kr
Läs direkt efter köp
Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AI's ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AI's versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students.
Inbunden, Engelska, 2026
2 011 kr
Kommande
Cyber-Physical Systems (CPS) are revolutionizing industries, but their complexity introduces unprecedented security vulnerabilities. This book dives deep into the emerging threats and sophisticated defenses required for CPS 2.0, focusing on critical infrastructure and cloud-enabled environments. With a bibliometric analysis of blockchain and AI’s role in CPS security, this book provides a comprehensive roadmap for building robust and trustworthy Cyber-Physical Systems. It explores advanced topics including supply chain security for Over-the-Air update, digital twin validation for enhanced resilience, game-theoretic security strategies against APTs and machine learning for anomaly detection and reliability assessmentThis book:Covers in-depth discussion on the next generation cyber physical systems covering several aspects such as architecture, networking, and burgeoning technologies. Explains advanced security mechanisms tailored specifically forcyber physical systems 2.0, addressing the unique challenges posed by the integration of cutting-edge technologies including artificial intelligence, blockchain, and advanced computing. Includes some case studies to provide a hands-on to the professionals and practitioners in the paradigm of implementation, and security analysis of cyber physical systems based applications. Discusses machine learning-based real-time detection of grid instabilities and cyberattacks on energy distribution networks. Showcases resilience management framework for reliable exchange of information in healthcare cyber physical systems. It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering.