Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives in the Big Data Era
Sign Up to like & getrecommendations! Published in 2019 at "Engineering"
DOI: 10.1016/j.eng.2019.01.019
Abstract: Abstract Safe, efficient, and sustainable operations and control are primary objectives in industrial manufacturing processes. State-of-the-art technologies heavily rely on human intervention, thereby showing apparent limitations in practice. The burgeoning era of big data is… read more here.
Keywords: big data; data analytics; machine learning; manufacturing ... See more keywords
Precision Agriculture using IoT Data Analytics and Machine Learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2021.05.013
Abstract: Abstract In spite of the insight commonality may have concerning agrarian practice, fact is that nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than ever. The emanation of the technologies based on Internet… read more here.
Keywords: data analytics; machine learning; analytics machine; precision agriculture ... See more keywords
Predictive Analytics through Machine Learning in the clinical settings
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/s0169-2607(17)30552-7
Abstract: h 0 One of the frequently asked questions by informatics students is What is the difference between Machine Learning and Prediction odels?” It is common to misuse and misunderstood the word Machine Learning”. Predictive Analytics… read more here.
Keywords: machine; machine learning; predictive analytics; clinical settings ... See more keywords
Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0268965
Abstract: We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments to train random forest and XGBoost models using empirical measures guided by Benford’s Law, a… read more here.
Keywords: bribe payments; analytics machine; forensic analytics; demonetization ... See more keywords