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Titlebook: Artificial Intelligence in Mechatronics and Civil Engineering; Bridging the Gap Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi Book 2023 T

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發(fā)表于 2025-3-21 19:58:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence in Mechatronics and Civil Engineering
期刊簡稱Bridging the Gap
影響因子2023Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi
視頻videohttp://file.papertrans.cn/163/162479/162479.mp4
發(fā)行地址Highlights the application of artificial intelligence, machine learning, and simulation techniques in engineering.Presents different intelligent techniques focusing on common areas between mechatronic
學(xué)科分類Emerging Trends in Mechatronics
圖書封面Titlebook: Artificial Intelligence in Mechatronics and Civil Engineering; Bridging the Gap Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi Book 2023 T
影響因子.Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book. .
Pindex Book 2023
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2731-4855 gent techniques focusing on common areas between mechatronic.Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of enginee
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Optical Resistance Switch for Optical Sensing,nsing applications. The optical structures studied are photonic crystal, plasmonic, and graphene structures which are good platforms for the realization of optical devices such as optical switches and sensors. Photonic crystals can be considered as an efficient basis for the realization of optical s
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Feasibility of Artificial Intelligence Techniques in Rock Characterization,attributed to the fact that direct determination of rock engineering properties such as unconfined compressive strength (UCS) is time-consuming, costly, and some times difficult. This study aimed to review the recent works which propose AI techniques, as indirect methods, for assessing the UCS of ro
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Application of a Data Augmentation Technique on Blast-Induced Fly-Rock Distance Prediction,ings and human life. Thus, successfully estimating fly-rock distance is crucial. Many researchers attempt to develop empirical, statistical, or machine learning models to accurately predict fly-rock distance. However, for most previous research, a worrying drawback is that the amount of data related
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