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River flow: New machine learning methods could improve environmental predictions Algorithm is 'taught' rules of the physical world to help researchers make better predictions Date: June 23, 2021 ...
Southwest Research Institute, in collaboration with Vanderbilt University, is developing machine learning algorithms to help the Tennessee Department of Transportation (TDOT) coordinate traffic ...
Keywords: circadian clock, lettuce, machine learning, optical flow, phenotyping, plant factory. Citation: Nagano S, Moriyuki S, Wakamori K, Mineno H and Fukuda H (2019) Leaf-Movement-Based Growth ...
Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...
To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.
Japanese researchers realized highly accurate and high-speed predictions of the flow phenomena by combining physical simulations and machine learning. The technique leveraged machine learning ...
The relationship between these parameters and their relevance to heat transfer coefficients can be deduced using new machine learning techniques. ... D. Garg, S.M. Kim, I. Mudawar, C.R. Kharangate, ...
Objectives This systematic review aimed to assess the performance and clinical feasibility of machine learning (ML) algorithms in prediction of in-hospital mortality for medical patients using vital ...