International Conference on Artificial Intelligence and Sustainable Engineering : Select Proceedings of AISE 2020, Volume 2 (Lecture Notes in Electrical Engineering)

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International Conference on Artificial Intelligence and Sustainable Engineering : Select Proceedings of AISE 2020, Volume 2 (Lecture Notes in Electrical Engineering)

Sanyal, Goutam (EDT)/ Travieso-González, Carlos M. (EDT)/ Awasthi, Shashank (EDT)

ウェブストア価格 ¥51,741（本体¥47,038）
Springer Verlag, Singapore（2022/04発売）
外貨定価 US$ 249.99
ポイント 470pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Hardcover:ハードカバー版／ページ数 500 p.
言語 ENG
商品コード 9789811685453
DDC分類 628.028563

Full Description

This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.

Drowsiness Detection System using Open CV and Raspberry Pi: An IoT Application.- Deep Multi-Agent Reinforcement Learning for Tag Game.- A Proposed Framework to Achieve CIA in IoT Networks.- Localization in Underground Area Using Wireless Sensor Networks with Machine Learning.- Master-Slave Robots Using Swarm Intelligence.- An IoT Based Approach in Automatic Garbage Segregation to Develop an Intelligent Garbage Segregator.- Multi-View Deep Learning for Weather Recognition.- Optimizing Gender Detection Using Deep Learning Technique for Android Devices.- A Critical Analysis of VQA Models and Datasets.- Impact on Steady-State Security of Power System using TCSC.