… learning methods (eg, support vector machine (SVM)). When … , and improve the performance
of CNN for medical image clas… from the Dar es Salaam Institute of Technology, Tanzania, in …

… map databases and live processing using support vector machines (SVMs). This research [91]
… [104] demonstrate that CNN-based detectors achieved high performance on FIR picture at …

… Compared to single-layer perceptron and SVM, ELM is considered to have possible … in a
translation-invariant manner according to its hierarchical structure. In this study, the CNN model …

… CNN model performed the best (with an accuracy of 1–4 points on all three datasets) compared
to more conventional methods such as SVM… ‘‘A comparative study of supervised learning …

… and Support Vector Machines algorithms. This paper involves the design, simulation, and
performance analysis of … This process helps the CNN become invariant to small translations or …

… of Congo, Zambia, and Tanzania, ensuring ecological integrity … demonstrate the performance
of RF compared to the SVM and … does not translate into superior performance over GRU, as …

… ), often using a random forests or support vector machines, and … Further research should
therefore consider the entire … some degree of interpretation and use of contextual information …

… This CNN approach is analyzed in our paper below. … applied a Fuzzy-set qualitative
comparative analysis (fsQCA). The … was conducted using three machine learning classifiers: SVM, …

… LSTM and CNN has led to the development of hybrid CNN-… provide a comparative analysis
or use error methodologies to … According to the literature review, SVM and LR were the two …

… This paper presents the study of effective use of Convolutional Neural Network (CNN) a deep
… and conducted a comparative study of multiple machine learning techniques like SVM, K-…