Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Citation: Ha NT, Manley-Harris M, Pham TD, Hawes I. A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

The principle of “the wisdom of the crowd” shows that a large group of people with average knowledge on a topic can provide reliable answers to questions such as predicting quantities, spatial ...