Çalışma Alanları
- Mühendislik Temel Alanı
- Bilgisayar Bilimleri ve Mühendisliği
- Makine Öğrenmesi
- Yapay Zeka
- Adaptive FEM-BPNN model for predicting underground cable temperature considering varied soil composition, 2024
- Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts, 2024
- Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches, 2023
- Performance Analysis of Classification and Detection for PV Panel Motion Blur Images Based on Deblurring and Deep Learning Techniques, 2023
- Deep learning-based framework for monitoring of debris-covered glacier from remotely sensed images, 2023
- Enhancing hyperspectral remote sensing image classification using robust learning technique, 2023
- A dynamic annealing learning for PLSOM neural networks: Applications in medicine and applied sciences, 2023
- Earthquake Prediction for the Düzce Province in the Marmara Region Using Artificial Intelligence, 2023
- Brain Pathology Classification of MR Images Using Machine Learning Techniques, 2023
- Auxiliary Learning of Non-Monotonic Hyperparameter Scheduling System Via Grid Search, 2022
- A Robust NIfTI Image Authentication Framework Based on DST and Multi-Scale Otsu Thresholding, 2022
- A faster dynamic convergency approach for self-organizing maps, 2022
- Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care, 2022
- Monocular vision with deep neural networks for autonomous mobile robots navigation, 2022
- Land Cover Classification using Machine Learning Approaches from High Resolution Images, 2021
- Analysis of convexly combined recursive inverse algorithms, 2021
- A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images, 2021
- COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review, 2021
- Investigating the Effectiveness of Adaptive Step Size LMS Algorithms for the Use with VOIP Applications, 2020
- A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic, 2020
- Robust adaptive learning approach to self-organizing maps, 2019
- Improving DBMS Security through the use of a Checksum Technique, 2017
- Back-propagation algorithm with variable adaptive momentum, 2016
- Clinical Decision Support System for Diabetes Classification with an Optimized CNN using PSO, 2023
- A Multi-modal Approach to Lung Tumor Detection using Deep Learning, 2023
- Automated and Optimised Machine Learning Algorithms for Healthcare Informatics, 2024
- Implementation of Homomorphic Encryption Schemes in Fog Computing, 2024
- Blockchain Based Security Framework for Internet of Medical Things (IoMT) Applications, 2024
- A Survey on Image-based Cardiac Diagnosis Prediction using Machine Learning and Deep Learning Techniques, 2024
- Short Message Service Spam Detection System for Securing Mobile Text Communication Based on Machine Learning, 2024
- Tam metin_Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models, 2021
- Photovoltaics Cell Anomaly Detection Using Deep Learning Techniques, 2023
- Thermal modeling for underground cable under the effect of thermal resistivity and burial depth using Finite Element Method, 2022
- Investigation of Thermal Modeling for Underground Cable Ampacity Under Different Conditions of Distances and Depths, 2021
- Efficient Artificial Intelligence-based Models for COVID-19 Disease Detection and Diagnosis from CT-Scans, 2022
- Hate Speech and Offensive Language Detection from Social Media, 2021
- Deep Learning Approaches for Cyber Threat Detection and Mitigation, 2024
- Enhancing the Multiclass Image Classification Accuracy using Binary Classifiers for Semi-Supervised Learning, 2023
- Deep Learning for Liver Disease Prediction, 2022
- A Hybrid Feature Extraction Method for Heart Disease Classification using ECG Signals, 2021
- Epileptic Seizure Diagnoses system based on an Artificial Neural Network with Adaptive Momentum, 2019
- Classification of Epileptic Seizures using Artificial Neural Network with Adaptive Momentum, 2021
- Improving Stock Prediction Accuracy Using CNN and LSTM, 2021
- An Efficient Medical Diagnosis Algorithm Based on a Hybrid Neural Network with a Variable Adaptive Momentum and PSO Algorithm, 2019
- The Use of a Robust-Adaptive Self Organizing Map to Enhance the Prediction Performance of Clinical Dataset, 2019
- Application of Adaptive Back-Propagation Neural Networks for Parkinson’s Disease, 2021
- A new sparse convex combination of ZA-LLMS and RZA-LLMS algorithms, 2015
- A New 2-D Convex Combination of Recursive Inverse Algorithms, 2014
- Intelligent Predictions of Parkinson’s Disease using Adaptive Back Propagation Neural Networks (ABPNN) Algorithm, 2019
- Data Analytics for Smart Grids Applications-A Key to Smart City Development, ISBN: 1868-4408, 2023