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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Hybrid features selection method using random forest and meerkat clan algorithm
In the majority of gene expression investigations, selecting relevant genes for sample classification is considered a frequent challenge, with researchers attempting to discover the minimum feasible number of genes while yet achieving excellent…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score
Most of vehicle have the similar structures and designs. It is extremely
complicated and difficult to identify and classify vehicle brands based on their structure and shape. As we require a quick and reliable response, so vehicle logos are an…
complicated and difficult to identify and classify vehicle brands based on their structure and shape. As we require a quick and reliable response, so vehicle logos are an…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Integrated bio-search approaches with multi-objective algorithms for optimization and classification problem
Optimal selection of features is very difficult and crucial to achieve,
particularly for the task of classification. It is due to the traditional method of selecting features that function independently and generated the collection of irrelevant…
particularly for the task of classification. It is due to the traditional method of selecting features that function independently and generated the collection of irrelevant…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A new model for large dataset dimensionality reduction based on teaching learning-based optimization and logistic regression
One of the human diseases with a high rate of mortality each year is breast cancer (BC). Among all the forms of cancer, BC is the commonest cause of death among women globally. Some of the effective ways of data classification are data mining and…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021
Convolution and Recurrent Hybrid Neural Network for Hevea Yield Prediction
Abstract. Deep learning techniques have been used effectively for rubber crop yield prediction. A hybrid of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) is the best technique for crop yield prediction because it can…