[PDF][PDF] Deep learning and machine learning based anomaly detection in internet of things environments

A Gökdemir, A Calhan - Journal of the Faculty of Engineering …, 2022 - scholar.archive.org
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 …

EEG based emotion prediction with neural network models

FK Bardak, MN Seyman, F Temurtaş - Tehnički glasnik, 2022 - hrcak.srce.hr
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 …

Speech-to-gender recognition based on machine learning algorithms

S Hızlısoy, E Çolakoğlu, RS Arslan - International Journal of Applied …, 2022 - dergipark.org.tr
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 …

[PDF][PDF] Arabic Calligraphy Image Analysis With Transfer Learning.

DZ Gürer, İZ Gökbay - Electrica, 2024 - electricajournal.org
Communication is the exchange of ideas and information between individuals, societies, or
locales. Language serves as the primary medium for communication, with writing …

MR Görüntülerinde evrişimli sinir ağlar kullanılarak Alzheimer hastalık tespiti

S Aydın, M Taşyürek, C Öztürk - Erciyes Üniversitesi Fen Bilimleri …, 2023 - dergipark.org.tr
Demans beyni etkileyen, hafıza ve düşünmede eksikliklere neden olan bir bulgudur.
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 …

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 …

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 …

The Efficiency of Regularization Method on Model Success in Issue Type Prediction Problem

A Alsaç, MM Yenisey, MC Ganiz, M Dağtekin… - Acta Infologica, 2023 - dergipark.org.tr
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 …

Machine Learning-Based Comparative Study for Heart Disease Prediction

M Güllü, MA Akcayol, N Barışçı - Advances in Artificial Intelligence …, 2022 - dergipark.org.tr
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 …