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Toplam kayıt 10, listelenen: 1-10
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
(Elsevier Science, 2021)
The Covid-19 pandemic is the most important health disaster that has surrounded the world for the past eight months. There is no clear date yet on when it will end. As of 18 September 2020, more than 31 million people have ...
MasPA: A Machine Learning Application to Predict Risk of Mastitis in Cattle from AMS Sensor Data
(MDPI, 2021)
Mastitis is a common disease that prevails in cattle owing mainly to environmental pathogens; they are also the most expensive disease for cattle in dairy farms. Several prevention and treatment methods are available, ...
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 ...
Determining Factors Affecting Cooperative Membership of the Beekeepers Using Decision Tree Algorithms
(ANKARA UNIV, 2022)
Agricultural cooperatives have important contributions to farmers. Thanks to cooperatives, agricultural products are sold at high prices, while agricultural inputs can be purchased at low prices. Cooperatives provide their ...
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 ...
AN ANALYSIS OF THE FACTORS AFFECTING THE CONSUMPTION OF GEOGRAPHICALLY INDICATED PRODUCTS USING DECISION TREE AND ARTIFICIAL NEURAL NETWORKS
(Pakistan Agricultural Scientists Forum, 2022)
n the present study, the consumer perception and consumption level of Geographically Indicated Products (hereafter GIP) in the Tokat province of Turkey has been investigated. The data were collected from 382 consumers ...
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 ...
A family-centered orthodontic screening approach using a machine learning-based mobile application
(Association for Dental Sciences of the Republic of China, 2023)
Background/purpose: Skeletal orthodontic deformities can have functional and aesthetic consequences, making early detection critical. This study aimed to address the issue of parents bringing their children for routine ...
The Diagnosis of Diabetes Mellitus with Boosting Methods
(TUBITAK, 2023)
In addition to the damage, it can cause to various organs, diabetes mellitus (DM) also increases a person's risk of developing other serious health conditions. These can include heart disease, stroke, and nerve damage. ...