Titlebook: Advances in Mechanical Engineering and Material Science; Select Proceedings o Pankaj Tambe,Peter Huang,Suyog Jhavar Conference proceedings

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Yongjae Kim,Yonghoon Choi,Youngnam Hanable crack growth that requires much computational time and is vulnerable. This work developed several ML models using supervised machine learning algorithms and compared their performance. These models have shown decent precision in detecting the crack growth behavior of a pre-defined semi-elliptic

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Fan Zhou,Abdulla Al Ali,Kaushik Chowdhurynnected and transmit information on a massive scale. The huge amounts of data produced, quite apart from the widespread use of the internet by these battery packs, provide new challenges for researchers and regulators. A unique deep learning model with use of internet of things (IoT) is suggested in