2025 Publications

Classification of Cell Line Halm Machine Data in Solar Energy Panel Production Factories Using Artificial Intelligence Models

lassification of Dementia Levels by Using Different Convolutional Neural Network Architectures

2024 Publications

Effectiveness Analysis of Example-Based Machine Learning and Deep Learning Methods for Super-resolution Hyperspectral Images

Comparative Analysis and Classification of HTTPS Traffic Using Packet Burst Statistics: An Evaluation of State-of-the-Art Methods

Smart and Secure Supply Chains in the New Era Using Artificial Intelligence

A Machine Learning Regression Analysis Application: Smart Device Price

Heatmap creation with YOLO-Deep SORT system customized for in-store customer behavior analysis

Original Research Article Classification of cell line Halm machine data in solar panel production factories using artificial intelligence models

International Insights on AI Risk: Comparative Analysis of International Organizations

Deep learning methods for LSTM-based personalized search: A comparative analysis

Predicting Earthquakes with Ionospheric Data: A Hybrid Approach Utilizing Deep AutoEncoder and LSTM Networks

MODELING OF AN ADAPTIVE SYSTEM OF NEURO-FUZZY CONTROL OF A WIND POWER PLANT

Detection of Turkish Fake News from Tweets with BERT Models

Detection of Alzheimer’s Disease from EEG Signals Using Explainable Artificial Intelligence Analysis

Epileptic Seizure Classification Using Local Binary Patterns and Convolutional Neural Networks from EEG Signals

New approaches to epileptic seizure prediction based on EEG signals using hybrid CNNs

2023 Publications

PV Fabrikalarında Modül Hattı IV Data Verilerinin Yapay Zekâ Modelleri Kullanılarak Sınıflandırılması

A classification application for using learning methods in bank costumer's portfolio churn

Mobile Phone Price Classification Using Machine Learning

Cloud Classification via Satellite Images using Residual Network

Data-driven optimization of urban traffic using AI and real-time analysis

Integrating Technologies for a Seamless Play-to-Earn Experience: A Case Study on a Hyper-Casual Mobile Game with a Decentralized Ecosystem

Top-Down Approaches in Human Pose Estimation: A State-of-the Art Review

Exploring the Potential of Decentralized Currency for E-Commerce: Case Study of an E-Commerce Website Using Decentralized Currency

Similarity Learning for Person Re-Identification Using Deep Auto-Encoder.

Sahte Haber Tespiti için Kullanılan Modellerin Sosyal Bağlam Kapsamında İncelenmesi

Üretken Yapay Zekâ

2022 Publications

Surgical retrieval of an embolized AmplatzerTM ductal occluder device with review of comparable cases

The Effect of Handling Imbalanced Datasets Methods on Prediction of Entrepreneurial Competency in University Students

Estimation of Mobile Phone Prices with Machine Learning

A light weight approach for real-time background subtraction in camera surveillance systems

Providing A Topic-Based LSTM Model to Re-Rank Search Results

Big Data Analysis of Ionosphere Disturbances using Deep Autoencoder and Dense Network.

Learning to Rank using Fuzzy-Enhanced LSTM Model

A novel family of edge preserving anisotropic filters

Görüntü İşleme Uygulamaları İçin Finsler Eğri Evrim Modeli İncelemesi

Color Image Enhancement Using A New Anisotropic Metric

Görüntü işlemede finsler geometrisi yaklaşımları

Fake News Detection in Turkish Using Machine Learning Algorithms and Fasttext With Word Embedding

2021 Publications

Performance evaluation of pan-sharpening and dictionary learning methods for sparse representation of hyperspectral super-resolution

LSTM-Based Deep Learning Methods for Prediction of Earthquakes Using Ionospheric Data

Providing a personalization model based on fuzzy topic modeling

An analytical comparison of approaches to real-time object detection to handle concurrent surveillance video streams

User Click Preference Prediction Using Attention-based LSTM Model

Modelıng Of The Ionosphere's Dısturbance Usıng Deep Learnıng Technıques

MODELING OF THE IONOSPHERE’S DISTURBANCE USING DEEP LEARNING TECHNIQUES

Improved antlion optimization algorithm for quadratic assignment problem

Riemann anlamında eğri evrim modeli incelemesi: Görüntü segmentasyonu uygulaması

2020 Publications

A rare indication of permanent pacemaker implantation in children: congenital long QT syndrome

Band Reduction for Target Detectıon in Hyperspectral Images

Group-based Personalization Using Topical User Profile

A classification on different aspects of user modelling in personalized web search

Personalized web search using key phrase-based user profiles

Multi-thread frame tiling model in concurrent real-time object detection for resources optimization in yolov3

Estimating Personalization using Topical User Profile.

Multi-thread approach to object detection using yolov3

KEYPHRASE BASED USER PROFILES IN SHORT-TERM AND SESSION-TERM QUERY LOGS.

A novel improved antlion optimizer algorithm and its comparative performance

2019 Publications

Tournament selection based antlion optimization algorithm for solving quadratic assignment problem

Improved antlion optimization algorithm via tournament selection and its application to parallel machine scheduling

Improved antlion optimizer algorithm and its performance on neuro fuzzy inference system