Konu "Machine learning" için Fakülteler listeleme
Toplam kayıt 18, listelenen: 1-18
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(Institute of Electrical and Electronics Engineers Inc., 2018)Falling is an important health risk, especially for the elderly people. This situation prevents individuals from living independently. Automatic and high accuracy detection of the falls will contribute in preventing the ... -
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 ... -
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 ... -
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. ... -
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 ... -
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 ... -
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
(Elsevier Ltd, 2021)Balances in the energy sector have changed since the implementation of the Covid-19 pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity generation in European countries and how it will ... -
Hareket Sensörleri Uzerinden Oylama Yöntemi ile Aktivite Tespiti
(Institute of Electrical and Electronics Engineers Inc., 2017)Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth ... -
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 ... -
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, ... -
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 ... -
A novel method for prediction of EuroLeague game results using hybrid feature extraction and machine learning techniques
(Elsevier Ltd, 2021)Basketball competitions are among the most watched sports activities in the world. With the developing technology, statistics of the games and players of basketball can be stored more easily, so artificial intelligence ... -
Performance evaluation of machine learning algorithms for detecting abnormal data traffic in computer networks
(Institute of Electrical and Electronics Engineers Inc., 2020)Detection and classification of abnormal data in computer network traffic is a very important cyber-security problem. In this study, the aim is to determine the methods with a high rate of success in classifying the data ... -
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 ... -
Spam SMS Detection for Turkish Language with Deep Text Analysis and Deep Learning Methods
(Springer Science and Business Media Deutschland GmbH, 2021)With the increasing number of mobile users day by day, the security of mobile phones is an important issue. SMS service available as standard in all users; advertising makes it a preferred method of promotion agencies. ... -
Twitter Data Analysis: Izmir Earthquake Case
(İzmir Akademi Derneği, 1.12.2022)Türkiye is located on a fault line; earthquakes often occur on a large and small scale. There is a need for effective solutions for gathering current information during disasters. We can use social media to get insight ... -
Usage of Machine Learning Algorithms for Flow Based Anomaly Detection System in Software Defined Networks
(Springer, 2021)Computer networks are becoming more complex in the number of connected nodes and the amount of traffic. The growing number and increasing complexity of cyber-attacks makes network management and security a challenge. ... -
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 ...