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Titlebook: Smart Applications with Advanced Machine Learning and Human-Centred Problem Design; D. Jude Hemanth,Utku Kose,Bogdan Patrut Conference pro

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书目名称Smart Applications with Advanced Machine Learning and Human-Centred Problem Design
编辑D. Jude Hemanth,Utku Kose,Bogdan Patrut
视频videohttp://file.papertrans.cn/869/868585/868585.mp4
概述Presents advanced computing and networking technologies to enable intelligent and efficient IoT and CPS.Proceedings of the 3rd International Conference on Artificial Intelligence and Applied Mathemati
丛书名称Engineering Cyber-Physical Systems and Critical Infrastructures
图书封面Titlebook: Smart Applications with Advanced Machine Learning and Human-Centred Problem Design;  D. Jude Hemanth,Utku Kose,Bogdan Patrut Conference pro
描述This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
出版日期Conference proceedings 2023
关键词Computer Science; Informatics; Computational Intelligence; Artificial Intelligence; Smart Applications; M
版次1
doihttps://doi.org/10.1007/978-3-031-09753-9
isbn_ebook978-3-031-09753-9Series ISSN 2731-5002 Series E-ISSN 2731-5010
issn_series 2731-5002
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Deep Learning-Based Air Defense System for Unmanned Aerial Vehicles,rning architecture with optimum results, and it was aimed to destroy the detected UAV. The dataset used for training in deep learning architectures was created for study using rotary-wing and fixed-wing UAVs.
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Classification of People Both Wearing Medical Mask and Safety Helmet,t without a mask, and masked helmet. Experiments have been carried out on a single deep net and a double deep neural network and high performance have been achieved. This study can be used effectively and efficiently to determine whether people are wearing helmets and masks.
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Autonomous Parking with Continuous Reinforcement Learning,icle parking problem is introduced. Kinematics of problem is given and an RL methods investigated to solve this problem. Some of the current reinforcement learning algorithms are: TD3 (Twin Delayed Policy Gradient), DDPG (Deep Deterministic Policy Gradient), SAC (Soft Actor Critic) and HER (Hindsigh
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