International Conference on Artificial Intelligence and Sustainable Engineering : Select Proceedings of AISE 2020, Volume 1 (Lecture Notes in Electrical Engineering)

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

Springer Verlag, Singapore（2022/05発売）

• 製本 Hardcover:ハードカバー版／ページ数 569 p.
• 言語 ENG
• 商品コード 9789811685415
• 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.

Contents

Smart Grid and Net Metering Impact in Current Scenario of Power System.- Machine Learning Based Approach for Myocardial Infarction.- Joyful Jaccard: An Analysis of Jaccard-based Similarity Measures in Collaborative Recommendations.- An Improved Reversible Data Hiding Technique for Encrypted Images Using Difference Error Expansion.- Assessment of Image Quality Metric by the means of Various Preprocessing Filters for Lung CT Scan Images.- A New Approach for Acute Lymphocytic Leukemia Identification Using Transfer Learning.- A Hybrid Machine Learning Approach for Customer Segmentation Using RFM Analysis.- AMD-net: Automatic Medical Diagnoses using Retinal OCT Images.- Performance Interpretation of Supervised Artificial Neural Network Highlighting Role of Weight and Bias for Link Prediction.- Using Big Data Analytics on Social Media to Analyze Tourism Service Encounters.