Overview of machine learning and its adaptability in mechanical engineering

Overview of machine learning and its adaptability in mechanical engineering. Geetha, N. K. & Bridjesh, P. Materials Today: Proceedings, November, 2020.

Paper doi abstract bibtex

Artificial Intelligence unto a mechanical engineer is to take the system to a next level to develop a better device. To better understand the physical phenomenon, engineers design the products that we all interact with. Machine learning (ML) plays a central role in translating that technology to make the world a better place. Many of the tools in ML are embedded with these methods and techniques to design machines which are interactive. The present study is an overview of applications of ML in Mechanical Engineering.

@article{geetha_overview_2020,
	title = {Overview of machine learning and its adaptability in mechanical engineering},
	issn = {2214-7853},
	url = {http://www.sciencedirect.com/science/article/pii/S2214785320373363},
	doi = {10.1016/j.matpr.2020.09.611},
	abstract = {Artificial Intelligence unto a mechanical engineer is to take the system to a next level to develop a better device. To better understand the physical phenomenon, engineers design the products that we all interact with. Machine learning (ML) plays a central role in translating that technology to make the world a better place. Many of the tools in ML are embedded with these methods and techniques to design machines which are interactive. The present study is an overview of applications of ML in Mechanical Engineering.},
	language = {en},
	urldate = {2020-11-13},
	journal = {Materials Today: Proceedings},
	author = {Geetha, N. K. and Bridjesh, P.},
	month = nov,
	year = {2020},
	keywords = {Algorithm, Applications, Artificial intelligence, Machine learning, Mechanical engineering},
}

Downloads: 0

{"_id":"dCQmQgkmF3iGP6aEg","bibbaseid":"geetha-bridjesh-overviewofmachinelearninganditsadaptabilityinmechanicalengineering-2020","author_short":["Geetha, N. K.","Bridjesh, P."],"bibdata":{"bibtype":"article","type":"article","title":"Overview of machine learning and its adaptability in mechanical engineering","issn":"2214-7853","url":"http://www.sciencedirect.com/science/article/pii/S2214785320373363","doi":"10.1016/j.matpr.2020.09.611","abstract":"Artificial Intelligence unto a mechanical engineer is to take the system to a next level to develop a better device. To better understand the physical phenomenon, engineers design the products that we all interact with. Machine learning (ML) plays a central role in translating that technology to make the world a better place. Many of the tools in ML are embedded with these methods and techniques to design machines which are interactive. The present study is an overview of applications of ML in Mechanical Engineering.","language":"en","urldate":"2020-11-13","journal":"Materials Today: Proceedings","author":[{"propositions":[],"lastnames":["Geetha"],"firstnames":["N.","K."],"suffixes":[]},{"propositions":[],"lastnames":["Bridjesh"],"firstnames":["P."],"suffixes":[]}],"month":"November","year":"2020","keywords":"Algorithm, Applications, Artificial intelligence, Machine learning, Mechanical engineering","bibtex":"@article{geetha_overview_2020,\n\ttitle = {Overview of machine learning and its adaptability in mechanical engineering},\n\tissn = {2214-7853},\n\turl = {http://www.sciencedirect.com/science/article/pii/S2214785320373363},\n\tdoi = {10.1016/j.matpr.2020.09.611},\n\tabstract = {Artificial Intelligence unto a mechanical engineer is to take the system to a next level to develop a better device. To better understand the physical phenomenon, engineers design the products that we all interact with. Machine learning (ML) plays a central role in translating that technology to make the world a better place. Many of the tools in ML are embedded with these methods and techniques to design machines which are interactive. The present study is an overview of applications of ML in Mechanical Engineering.},\n\tlanguage = {en},\n\turldate = {2020-11-13},\n\tjournal = {Materials Today: Proceedings},\n\tauthor = {Geetha, N. K. and Bridjesh, P.},\n\tmonth = nov,\n\tyear = {2020},\n\tkeywords = {Algorithm, Applications, Artificial intelligence, Machine learning, Mechanical engineering},\n}\n\n\n\n","author_short":["Geetha, N. K.","Bridjesh, P."],"key":"geetha_overview_2020","id":"geetha_overview_2020","bibbaseid":"geetha-bridjesh-overviewofmachinelearninganditsadaptabilityinmechanicalengineering-2020","role":"author","urls":{"Paper":"http://www.sciencedirect.com/science/article/pii/S2214785320373363"},"keyword":["Algorithm","Applications","Artificial intelligence","Machine learning","Mechanical engineering"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/mh_lenguyen","dataSources":["yanwtMpCcFaHzRwWb","iwKepCrWBps7ojhDx"],"keywords":["algorithm","applications","artificial intelligence","machine learning","mechanical engineering"],"search_terms":["overview","machine","learning","adaptability","mechanical","engineering","geetha","bridjesh"],"title":"Overview of machine learning and its adaptability in mechanical engineering","year":2020}