Sakshi, V Kukreja - Archives of Computational Methods in Engineering, 2023 - Springer
… -based segmentation techniques (CNN, RNN, LSTM… comparativeanalysis-based survey is still found to be on the verge of seeking more attention from the survey community of research…
… likelihood estimators, supportvectormachines, or random forests… pasture in Tanzania, Kenya, and some parts of West Africa. … 2D-CNN achieved higher classification performance on the …
… Other comparativestudies also showed a consistent higher performance of ML methods (NN, SVM, … b) show that a deep CNN trained using a large dataset (around 20 000 soil samples) …
… Moreover, CNN is not easy to use and computationally is … linked through damage classes in the event time, all translated … as a classifier compared to SVM in the current research. …
… failure treatment, echocardiography interpretation, evaluation … SVM or MLP use class count for classification, according to … , and MLP and CNN, two DL models, are studied. Results will …
X Wang, Z Yao, M Papaefthymiou - Applied Energy, 2023 - Elsevier
… Solyali et al. have presented a comparativeanalysis … That study compares a supportvector machine (SVM), a … interval is both translated and resized, since mere translation will result in …
… , and a rural village in Tanzania that relies on wireless monitoring … SVM tends to provide better performance than other ML models in … metric for a balanced interpretation of results. Other …
… Using our recommendations, we are able to train a CNN reducing the number of false positives by an order of magnitude compared … Although the task of manual photo-interpretation …
… In contrast, Tanzanian and American scientists' reports show … by the outstanding performance of recent research results. … values contributing to CNN, LASSO, and SVM applications. …