… a pretrained ResNet50 convolutional neural network (CNN). … graph model, and support vector
machines (SVMs), respectively, … function of a 3D CNN architecture with an SVM. All entries …

… We present a multi-temporal CNN model that performs … hectare landscapes in different
biomes in Tanzania, Ghana, and … and the support vector machine baseline models use the mean …

… without English translations were excluded from the study. … neural networks (CNN), support
vector machines (SVM) and … by [58] applied deep learning models such as LSTM, CNN, …

… A least squares support vector machine (LS-SVM) based model was developed to compute
the distribution of spatial bruising. The overall classification accuracy for 30 min, 2 h, 6 h, and …

… a roaming model to translate signal features between … 6, one can see cross-scene gesture
recognition, the SVM … -scene recognition reduced by 8% compared to the proposed method. …

… countries like Kenya, Djibouti, Tanzania, and Somalia, which … rating websites using baseline
machine learning and the CNN-… data into the SVM model and analyzed its performance. …

… comparative analysis, the goal or objective of their study has … To achieve expert-level
automatic interpretation of regular … pre-trained CNN models with SVM (support vector machine) …

… confirmed using images of … SVM and CNN were analyzed and compared with R-CNN to
determine the most accurate model for plant disease prediction. It was concluded that the R-CNN…

… In Kruczkowski et al.’s study, the time needed to train for the Naïve Bayes and CNN … and
susceptible to human interpretation and error [81,169]. The use of computer technologies may …

… The PS-CNN approach fared better than any other option, according to comprehensive
comparison studies. As a result, the PS-CNN model is a valuable tool for classifying cancer using …