Academic Articles
International and Local Published Academic Articles
Secured cloud-based image data processing of self-driving vehicles using full homomorphic encryption
A novel FHE-based method enables secure searching of encrypted self-driving vehicle images in the cloud without decryption, preserving data privacy.
The detection of unaccounted natural gas consumption: A neural networks and subscriber-based solution
Neural networks and statistics analyze big data to detect faulty gas meters causing unaccounted natural gas use, flagging high-risk subscribers.
Prediction of Mortality in Inpatients of Covid-19 Using Statistical and Artificial Intelligence Approaches: A Case Study in Sakarya
Random Forest, accurately predicted COVID-19 mortality using key laboratory markers, achieving over 0.99 performance across all metrics.
A Decade of Progress: A Systematic Literature Review on the Integration of AI in Software Engineering Phases and Activities (2013-2023)
A review of 110 studies shows AI—especially ML, DL, NLP, and optimization—enhances all software engineering phases, boosting quality and efficiency.
Makine Öğrenmesi Yöntemleri Kullanılarak Öğrencilerin Kazanım Bilgileri ile Sınavlardaki Başarı Durumunun Tahmini
KNN-based multi-output regression best predicted students’ future exam performance using real and synthetic exam data.
SmartRadar tracks employee computer actions and uses SVMs to accurately detect anomalous, non-work-related behavior in remote and flexible work.
A CNN-based mobile app classifies 43 plant species from photos and provides care info, achieving up to 90% accuracy.
Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network
Five alcohol types were accurately classified using ANN-ABC on QCM sensor data, with NP-based QCM12 achieving the best performance.
Uyarlanabilir Çevrimiçi İngilizce Seviye Tespit Sınavı ile Türkiye’deki İngilizce Seviyesinin Analizi
An adaptive online testing system analyzed English proficiency in Turkey by city, age, and skills, revealing generally low levels and guiding policy.
Multivariate linear regression accurately estimated solvent ratios in binary gas mixtures, demonstrating reliable detection of harmful solvents.
Day-Ahead Natural Gas Demand Forecasting Using Optimized ABC-Based Neural Network with Sliding Window Technique: The Case Study of Regional Basis in Turkey
ANN-ABC effectively improved day-ahead natural gas demand forecasting using univariate consumption data, achieving a low MAPE of 14.9%.
Applying Data Mining to Measured Values of Spring Water Parameters to Determine the Relationship between Them
Bu çalışmada, içme suyu kalite verileri veri madenciliği ile analiz edilerek arıtma kararlarını destekleyecek ilişkiler ortaya konmuştur.
An elevator simulator showed that increasing elevator numbers can improve service quality while unexpectedly reducing overall energy consumption.