1 code implementation • 8 Jan 2024 • Chollette Olisah, Lyndon Smith, Melvyn Smith, Lawrence Morolake, Osi Ojukwu
Given the nonlinearity of the interaction between weather and soil variables, a deep neural network regressor (DNNR) is carefully designed with consideration to the depth, number of neurons of the hidden layers, and the hyperparameters with their optimizations.
no code implementations • 27 Mar 2019 • Chollette C. Olisah, Lyndon Smith
Others are termed the unconventional preprocessors, they are: color space converters; HSV, CIE L*a*b* and YCBCR, grey-level resolution preprocessors; full-based and plane-based image quantization, illumination normalization and insensitive feature preprocessing using: histogram equalization (HE), local contrast normalization (LN) and complete face structural pattern (CFSP).