Author

Mihriban Günay

Observed names: Günay, Mihriban, Mihriban Gunay, Mihriban GÜNAY

ORCID: 0000-0002-0932-1981

Observed ORCID: 0000-0002-0932-1981

OpenAlex ID: A5044114303

Classification of Hand-Drawn Basic Circuit Components Using Convolutional Neural Networks

2020 · Mihriban Gunay, Murat Koseoglu, et al. · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · 17

Detection of circuit components on hand-drawn circuit images by using faster R-CNN method

2021 · Mihriban GÜNAY, Murat KÖSEOĞLU · International Advanced Researches and Engineering Journal · 9

PDF

Classification of Hand-Drawn Circuit Components by Considering the Analysis of Current Methods

2020 · Mihriban Gunay, Murat Koseoglu · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) · 5

Deep Learning: Evolution, Innovations, and Applications in the Last Decade

2025 · Mihriban Günay, Özal Yıldırım, et al. · Middle East Journal of Science · 2

PDF

Medium-term Residential Energy Consumption Prediction Using Tcn and Tcn-lstm Models

2025 · Mihriban Günay, Özal Yıldırım, et al. · International Journal of Energy and Smart Grid · 2

PDF

Multi-Task NILM with Anomaly Detection Using a Hybrid CNN–BilSTM–Transformer Model

2026 · Mihriban Gunay, Yakup Demir, et al. · Energies · 1

PDF

Hybrid Supervised Classification and Deep Embedding–Based Profiling Framework for Electricity Consumption Analysis

2026 · Mihriban Gunay, Ozal Yildirim, et al. · Applied Sciences · 1

PDF

A Smartphone-Based Acoustic Dataset for Permanent Magnet Debonding Diagnosis in Brushed DC Motor

2026 · Zhilevski, Marin, Yordanov, Nikolay, et al. · Mendeley Data

Multi-Sensor Condition-Monitoring Dataset of a Brushed DC Servo Motor

2026 · Zhilevski, Marin, Slavov, Danail, et al. · Mendeley Data

Deep Learning-Based Approaches for Short-Term Residential Electricity Consumption Prediction: A Comparative Study of LSTM, CNN-LSTM, and CNN-GRU Models

2025 · Mihriban Gunay, Ozal Yildirim, et al. · Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science

PDF

Works count: 10

Citation count: 37

H-index: 3

I10-index: 1