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[PDF][PDF] Deep learning and machine learning based anomaly detection in internet of things environments
Purpose: As the use of Internet of Things (IoT) systems has become widespread, cyber-
attacks against these systems have also increased. Cyber-attacks occurring in IoT …
attacks against these systems have also increased. Cyber-attacks occurring in IoT …
EEG based emotion prediction with neural network models
Sažetak The term" emotion" refers to an individual's response to an event, person, or
condition. In recent years, there has been an increase in the number of papers that have …
condition. In recent years, there has been an increase in the number of papers that have …
Speech-to-gender recognition based on machine learning algorithms
Speech recognition has several application areas such as human machine interaction,
classification of phone calls by gender, voice tagging, STT, etc. Predicting gender from audio …
classification of phone calls by gender, voice tagging, STT, etc. Predicting gender from audio …
[PDF][PDF] Arabic Calligraphy Image Analysis With Transfer Learning.
Communication is the exchange of ideas and information between individuals, societies, or
locales. Language serves as the primary medium for communication, with writing …
locales. Language serves as the primary medium for communication, with writing …
MR Görüntülerinde evrişimli sinir ağlar kullanılarak Alzheimer hastalık tespiti
Demans beyni etkileyen, hafıza ve düşünmede eksikliklere neden olan bir bulgudur.
Demans türleri arasında en sık rastlanılan Alzheimer hastalığı (AH) özellikle yaşlı bireylerde …
Demans türleri arasında en sık rastlanılan Alzheimer hastalığı (AH) özellikle yaşlı bireylerde …
Comparison Analysis of Machine Learning Algorithms for Steel Plate Fault Detection
B Taşar - Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Metals are one of the most important building materials of modern times. Especially the
production and metalworking process of flat metal sheets is very sensitive. Control of the …
production and metalworking process of flat metal sheets is very sensitive. Control of the …
Comparison of machine learning algorithms for predicting financial risk in cash flow statements
E Engin, Dİ Fakhourı - Turkish Journal of Forecasting, 2024 - dergipark.org.tr
Nowadays, making financial decisions and evaluating loan applications is a complex and
sensitive process. Cash flow data, which shows the financial risk status of businesses, plays …
sensitive process. Cash flow data, which shows the financial risk status of businesses, plays …
Comparison of machine learning classification algorithms for purchasing forecast
R Özdemir, M Turanlı - Journal of Life Economics, 2021 - dergipark.org.tr
With the development of computer technologies and invention of internet, many concepts
have entered our lives. With the starting of wide usage of globalized internet network …
have entered our lives. With the starting of wide usage of globalized internet network …
The Efficiency of Regularization Method on Model Success in Issue Type Prediction Problem
Designing a prediction method with machine learning algorithms and increasing the
prediction success is one of the most important research areas and aims of today. Models …
prediction success is one of the most important research areas and aims of today. Models …
Machine Learning-Based Comparative Study for Heart Disease Prediction
Heart disease is one of the most common causes of death globally. In this study, machine
learning algorithms and models widely used in the literature to predict heart disease have …
learning algorithms and models widely used in the literature to predict heart disease have …