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4 produkter
4 produkter
Inbunden, Engelska, 2025
504 kr
Skickas inom 5-8 vardagar
This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance the AI at resource-limited edge devices. The authors introduce readers to practical frameworks and in-depth algorithmic foundations. The book surveys the recent advances in the area, coming from both academic researchers and industry professionals. The authors also present their own research findings on continual and reinforcement learning for edge AI. The book also covers the practical applications of the topic and identifies exciting future research opportunities.
E-bok
Engelska, 2025652 kr
Läs direkt efter köp
This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance the AI at resource-limited edge devices. The authors introduce readers to practical frameworks and in-depth algorithmic foundations. The book surveys the recent advances in the area, coming from both academic researchers and industry professionals. The authors also present their own research findings on continual and reinforcement learning for edge AI. The book also covers the practical applications of the topic and identifies exciting future research opportunities.
- Nyhet
Häftad, Engelska, 2026
504 kr
Skickas inom 10-15 vardagar
This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance the AI at resource-limited edge devices. The authors introduce readers to practical frameworks and in-depth algorithmic foundations. The book surveys the recent advances in the area, coming from both academic researchers and industry professionals. The authors also present their own research findings on continual and reinforcement learning for edge AI. The book also covers the practical applications of the topic and identifies exciting future research opportunities.
Inbunden, Engelska, 2025
1 401 kr
Skickas inom 10-15 vardagar
This book highlights the thermodynamics analysis methods for thermal systems in PWR nuclear power plants, encompassing both thermal balance and exergy analysis techniques.The energy conversion efficiency in nuclear power plants has significant impact on their economy viability and market competitiveness. By examining the size, location and sources of energy loss within the thermal system of nuclear power plants, we can inform the design and operation to effectively enhance operational efficiency.This book presents an overview of the thermal cycles utilized by various types of nuclear power plants, encompassing both Rankine and Brayton cycles. Additionally, it elucidates the primary factors that impact the thermal efficiency of these cycles, as well as the thermal balance method predicated on the first law of thermodynamics and exergy analysis method based on the second law. The rationality and effectiveness of energy utilization in the process of energy transmission and conversion in PWR nuclear power plant thermal systems are identified based on the results of thermal balance calculation and exergy analysis. Additionally, measures to enhance the energy utilization level of nuclear power plants are proposed.This book is suitable for graduate students of nuclear energy science and engineering and senior undergraduates of nuclear engineering and nuclear technology and thermal energy engineering. It can also be used as a reference for technical personnel working in nuclear power plants.The English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.