Dr. Öğr. Üyesi GÖKSU TAŞ

Yayın Ağı

Makaleler 8

1. State of Energy Prediction of Lithium-ion Battery Using Sparrow Search Optimization-Random Forest and State-of-the-Art Artificial Intelligence Methods

TAŞ G.

Journal of Electrical Engineering and Technology , cilt.21, sa.2, ss.1873-1887, 2026 (SCI-Expanded, Scopus)

2. Capacity Estimation of Lithium-ion Battery by GA-KF Method

TAŞ G.

Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi , cilt.27, sa.80, ss.313-320, 2025 (TRDizin)

3. Classification of similar electronic components by transfer learning methods

TAŞ G.

Engineering Applications of Artificial Intelligence , cilt.139, 2025 (SCI-Expanded, Scopus)

4. Estimation of PID parameters of BLDC motor system by using machine learning methods

TAŞ G., Özdamar M.

Signal, Image and Video Processing , cilt.19, sa.1, 2025 (SCI-Expanded, Scopus)

5. Estimation of Discharge Energy of Lithium-ion Battery for Different Temperatures by FOX-Bidirectional Recurrent Neural Network Method

Taş G.

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji , cilt.12, sa.4, ss.882-892, 2024 (TRDizin)

6. Performance comparison of lithium polymer battery SOC estimation using GWO-BiLSTM and cutting-edge deep learning methods

Taş G., Bal C., UYSAL A.

Electrical Engineering , cilt.105, sa.5, ss.3383-3397, 2023 (SCI-Expanded, Scopus)

7. A New Lithium Polymer Battery Dataset with Different Discharge Levels: SOC Estimation of Lithium Polymer Batteries with Different Convolutional Neural Network Models

Taş G., UYSAL A., Bal C.

Arabian Journal for Science and Engineering , cilt.48, sa.5, ss.6873-6888, 2023 (SCI-Expanded, Scopus)

8. Bloomed or non-bloomed fruit tree classification with transfer learning

Taş G., Bal C.

Remote Sensing Letters , cilt.14, sa.9, ss.981-992, 2023 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 2

1. Performance Comparison of Lithium-ion Battery Discharge Capacity Estimation Under UDDS Driving Cycle Using Particle Filter and Kalman Filter

TAŞ G.

5. BİLSEL INTERNATIONAL AHLAT SCIENTIFIC RESEARCHES CONGRESS, Türkiye, 14 - 15 Aralık 2024, ss.238-247, (Tam Metin Bildiri)

2. Detection of Blossoms on Trees using Yolov8: Comparison of the Performance of Hyperparameters

TAŞ G.

ICHEAS 8th INTERNATIONAL CONFERENCE ON HEALTH, ENGINEERING AND APPLIED SCIENCES, Rome, İtalya, 15 - 17 Kasım 2024, ss.275-287, (Tam Metin Bildiri)

Kitaplar 2

1. ESTIMATION OF CAPACITY OF LITHIUM-ION BATTERY AT LOW TEMPERATURE BY USING MACHINE LEARNING METHODS

TAŞ G.

Mühendislik Alanında Uluslararası Araştırmalar XIV, , Editör, Eğitim Yayınevi, ss.37-51, 2024

2. Estimation of Discharge Energy of Lithium-ion Battery Under HPPC Drive Cycle Conditions Using Deep Learning Methods

TAŞ G.

NEW VISIONS IN ENGINEERING: CONCEPTS - THEORIES - APPLICATIONS, SARIOĞLU CEBECİ MELTEM, Editör, Duvar Yayınları, ss.38-51, 2024

Metrikler

Dr. Öğr. Üyesi GÖKSU TAŞ

Yayınlar & Eserler

1. State of Energy Prediction of Lithium-ion Battery Using Sparrow Search Optimization-Random Forest and State-of-the-Art Artificial Intelligence Methods

2. Capacity Estimation of Lithium-ion Battery by GA-KF Method

3. Classification of similar electronic components by transfer learning methods

4. Estimation of PID parameters of BLDC motor system by using machine learning methods

5. Estimation of Discharge Energy of Lithium-ion Battery for Different Temperatures by FOX-Bidirectional Recurrent Neural Network Method

6. Performance comparison of lithium polymer battery SOC estimation using GWO-BiLSTM and cutting-edge deep learning methods

7. A New Lithium Polymer Battery Dataset with Different Discharge Levels: SOC Estimation of Lithium Polymer Batteries with Different Convolutional Neural Network Models

8. Bloomed or non-bloomed fruit tree classification with transfer learning

1. Performance Comparison of Lithium-ion Battery Discharge Capacity Estimation Under UDDS Driving Cycle Using Particle Filter and Kalman Filter

2. Detection of Blossoms on Trees using Yolov8: Comparison of the Performance of Hyperparameters

1. ESTIMATION OF CAPACITY OF LITHIUM-ION BATTERY AT LOW TEMPERATURE BY USING MACHINE LEARNING METHODS

2. Estimation of Discharge Energy of Lithium-ion Battery Under HPPC Drive Cycle Conditions Using Deep Learning Methods

Yayın

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Yayın (Scopus)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

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H-İndeks (Scholar)

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