Prof. Dr. HÜSEYİN ERİŞTİ
- Yöksis ID 147713
- Researcher ID F-7616-2015
- ORCID ID 0000-0003-1474-9170
- Scopus ID 35221346400
- Scholar ID nkPiJSEAAAAJ&hl
- E-posta heristi@mersin.edu.tr
- Dahili Telefon +90 324 361 00 01 - 51311, 17177
Birim
MÜHENDİSLİK FAKÜLTESİ
ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ
ELEKTRİK MAKİNALARI ANABİLİM DALI
ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ
ELEKTRİK MAKİNALARI ANABİLİM DALI
ÜAK Temel Alan Bilgisi
Mühendislik Temel Alanı
Elektrik-Elektronik ve Haberleşme Mühendisliği
Elektrik Tesisleri, Elektrik Enerjisi ve Güç Sistemleri, Yenilenebilir Enerji Sistemleri
Elektrik-Elektronik ve Haberleşme Mühendisliği
Elektrik Tesisleri, Elektrik Enerjisi ve Güç Sistemleri, Yenilenebilir Enerji Sistemleri
Son 5 Makale
A novel microgrid islanding classification algorithm based on combining hybrid feature extraction approach with deep ResNet model
ELECTRICAL ENGINEERING, vol. 106, no. 1, pp. 145–164 Link 2023
Classification of breast tumors by using a novel approach based on deep learning methods and feature selection
BREAST CANCER RESEARCH AND TREATMENT, vol. 200, no. 2, pp. 183–192 Link 2023
PARÇALI GÖLGELENME DURUMUNDA YAPAY SİNİR AĞLARI VE PARÇACIK SÜRÜ OPTİMİZASYONU TABANLI BİR MAKSİMUM GÜÇ NOKTASI TAKİBİ ALGORİTMASI
KSÜ Mühendislik Bilimleri Dergisi, vol. 26, no. 4, pp. 895–908 Link 2023
Classification of Power Quality Disturbances in Solar PV Integrated Power System Based on a Hybrid Deep Learning Approach
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, vol. 2022, no. , pp. 1–13 Link 2022
A new deep learning method for the classification of power quality disturbances in hybrid power system
ELECTRICAL ENGINEERING, vol. 104, no. 6, pp. 3753–3768 Link 2022
ELECTRICAL ENGINEERING, vol. 106, no. 1, pp. 145–164 Link 2023
Classification of breast tumors by using a novel approach based on deep learning methods and feature selection
BREAST CANCER RESEARCH AND TREATMENT, vol. 200, no. 2, pp. 183–192 Link 2023
PARÇALI GÖLGELENME DURUMUNDA YAPAY SİNİR AĞLARI VE PARÇACIK SÜRÜ OPTİMİZASYONU TABANLI BİR MAKSİMUM GÜÇ NOKTASI TAKİBİ ALGORİTMASI
KSÜ Mühendislik Bilimleri Dergisi, vol. 26, no. 4, pp. 895–908 Link 2023
Classification of Power Quality Disturbances in Solar PV Integrated Power System Based on a Hybrid Deep Learning Approach
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, vol. 2022, no. , pp. 1–13 Link 2022
A new deep learning method for the classification of power quality disturbances in hybrid power system
ELECTRICAL ENGINEERING, vol. 104, no. 6, pp. 3753–3768 Link 2022
Son 5 Bildiri
Yeni bir çevrimiçi elektrik enerji kalitesi izleme cihazı
1. Ulusal Elektrik Enerjisi Dönüşüm Kongresi (21.09.2017 - 22.09.2017) 2017
A real-time power quality disturbance detection system based on the wavelet transform
2016 51st International Universities Power Engineering Conference (UPEC) (06.09.2016 - 09.09.2016) Link 2016
An online electric power quality disturbance detection system
2016 51st International Universities Power Engineering Conference (UPEC) (06.09.2016 - 09.09.2016) Link 2016
An FPGA based power quality monitoring system
2015 23nd Signal Processing and Communications Applications Conference (SIU) (16.05.2015 - 19.05.2015) Link 2015
An FPGA-based system for real-time monitoring of voltage harmonics
19th IMEKO TC 4 Symposium (18.06.2013 - ) 2013
1. Ulusal Elektrik Enerjisi Dönüşüm Kongresi (21.09.2017 - 22.09.2017) 2017
A real-time power quality disturbance detection system based on the wavelet transform
2016 51st International Universities Power Engineering Conference (UPEC) (06.09.2016 - 09.09.2016) Link 2016
An online electric power quality disturbance detection system
2016 51st International Universities Power Engineering Conference (UPEC) (06.09.2016 - 09.09.2016) Link 2016
An FPGA based power quality monitoring system
2015 23nd Signal Processing and Communications Applications Conference (SIU) (16.05.2015 - 19.05.2015) Link 2015
An FPGA-based system for real-time monitoring of voltage harmonics
19th IMEKO TC 4 Symposium (18.06.2013 - ) 2013