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Toplam kayıt 6, listelenen: 1-6
Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning
(Tech Science Press, 2022)
Automatic speaker recognition (ASR) systems are the field of Human-machine interaction and scientists have been using feature extraction and feature matching methods to analyze and synthesize these signals. One of the most ...
A novel method for intrusion detection in computer networks by identifying multivariate outliers and ReliefF feature selection
(SPRINGER LONDON LTD, 2022)
The identification of unusual data in computer networks is a critical task for intrusion detection systems. In this study, a novel approach has been proposed for improving intrusion detection system performance by finding ...
Identifying Potential miRNA Biomarkers for Gastric Cancer Diagnosis Using Machine Learning Variable Selection Approach
(Frontiers Media S.A., 2022)
Aim: This study aimed to accurately identification of potential miRNAs for gastric cancer (GC) diagnosis at the early stages of the disease. Methods: We used GSE106817 data with 2,566 miRNAs to train the machine learning ...
Using machine learning technique for disease outbreak prediction in rainbow trout (Oncorhynchus mykiss) farms
(John Wiley and Sons Inc, 2022)
Water quality parameters such as temperature, dissolved oxygen, pH and total dissolved solids are important environmental factors affecting fish welfare. The deterioration of these parameters beyond the tolerance limits ...
Effect of Feature Selection on the Accuracy of Music Popularity Classification Using Machine Learning Algorithms
(MDPI, 2022)
This research aims to analyze the effect of feature selection on the accuracy of music popularity classification using machine learning algorithms. The data of Spotify, the most used music listening platform today, was ...
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
(TAYLOR & FRANCIS INC, 2022)
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs) are tremendous, the design and discovery of new candidates remain a time and cost-intensive endeavor. In this regard, progress in the ...