Ara
Toplam kayıt 4, listelenen: 1-4
Estimation of strengths of hybrid FR-SCC by using deep-learning and support vector regression models
(2021)
In this work, to estimate the compressive, splitting tensile, and flexuralstrength of self-compacting concrete (SCC) having single fiber and binary, ter-nary, and quaternary fiber hybridization, the deep-learning (DL) and ...
Deep learning and machine learning-based prediction of capillary water absorption of hybrid fiber reinforced self-compacting concrete
(2022)
Deep auto-encoders and long short-term memory methodology (LSTM) basedon deep learning as well as support vector regression (SVR) and k-nearestneighbors (kNN) based on machine learning models for the capillary waterabsorption ...
A Novel Short-Term Photovoltaic Power Forecasting Approach based on Deep Convolutional Neural Network
(2021)
In this study, a novel photovoltaic power forecasting system that utilizes a deep Convolutional Neural Network (CNN) structure and an input signal decomposition algorithm is proposed. The proposed CNN architecture extracts ...
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning
(wıley, 2022)
Today, corneal refraction, height, and thickness data, which are required in the diagnosis of keratoconus, can be obtained with corneal tomography devices. Pentacam four map display presenting this data is one of the most ...