Akademisyen
OSMAN ALTAY
DOÇENT
MANİSA CELÂL BAYAR ÜNİVERSİTESİ HASAN FERDİ TURGUTLU TEKNOLOJİ FAKÜLTESİ YAZILIM MÜHENDİSLİĞİ BÖLÜMÜ
- Ana Dal Mühendislik Temel Alanı
- Yan Dal Bilgisayar Bilimleri ve Mühendisliği
Kayıtlı çıktılara kısa bakış — ayrıntılar aşağıda.
- Makale 28
- Proje 0
- Kitap 8
- Bildiri 30
- Patent 0
- Sanatsal 0
Scopus (SJR)
Q1
8
Q2
8
Q3
2
Q4
0
WoS (JCR)
Q1
5
Q2
9
Q3
2
Q4
2
TR Index
6
makale
Makaleler
YÖKSİS ve OpenAlex kaynak ayrımıyla makaleler; quartile ve TR Index ile daraltabilirsiniz.
Makale listesi
- 2026 Investigation of the Performance of Artificial Neural Networks Using Different Learning Algorithms in Biomedicine Datasets YÖKSİS SJR Q1 JCR Q2
- 2025 Predicting CPU Performance Score with Regression Analysis YÖKSİS TR Index
- 2024 Average Localization Error Prediction for 5G Networks: An Investigation of Different Machine Learning Algorithms YÖKSİS SJR Q2 JCR Q3
- 2024 A Comparative Study of Metaheuristic Optimization Algorithms for Solving Real-World Engineering Design Problems YÖKSİS SJR Q2 JCR Q1
- 2024 AOSMA-MLP: A Novel Method for Hybrid Metaheuristics Artificial Neural Networks and a New Approach for Prediction of Geothermal Reservoir Temperature YÖKSİS SJR Q2 JCR Q2
- 2024 GJO-MLP: A NOVEL METHOD FOR HYBRID METAHEURISTICS MULTI-LAYER PERCEPTRON AND A NEW APPROACH FOR PREDICTION OF WEAR LOSS OF AZ91D MAGNESIUM ALLOY WORN AT DRY, OIL, AND h-BN NANOADDITIVE OIL YÖKSİS SJR Q3 JCR Q4
- 2024 Average Localization Error Prediction for 5G Networks: An Investigation of Different Machine Learning Algorithms YÖKSİS SJR Q2 JCR Q3
- 2023 A novel chaotic transient search optimization algorithm for global optimization, real-world engineering problems and feature selection YÖKSİS SJR Q1 JCR Q1
- 2023 A novel hybrid multilayer perceptron neural network with improved grey wolf optimizer YÖKSİS SJR Q1 JCR Q2
- 2023 GJO-MLP: A Novel Method for Hybrid Metaheuristics Multi-layer Perceptron and a New Approach for Prediction of Wear Loss of AZ91D Magnesium Alloy Worn at Dry, Oil and h-BN Nanoadditive oil YÖKSİS SJR Q3 JCR Q4
- 2023 MetricHunter: A software metric dataset generator utilizing Source Monitor upon public GitHub repositories YÖKSİS SJR Q2 JCR Q2
- 2023 Tıp Verilerinde Meta-Sezgisel Optimizasyon Yöntemlerinin Özellik Seçimi Performanslarının Karşılaştırılması YÖKSİS
- 2023 Predicting the Height of Individuals with Machine Learning Methods by Considering Non-Genetic Factors YÖKSİS
- 2022 Chaotic slime mould optimization algorithm for global optimization YÖKSİS SJR Q1 JCR Q1
- 2022 Hybrid artificial neural network based on a metaheuristic optimization algorithm for the prediction of reservoir temperature using hydrogeochemical data of different geothermal areas in Anatolia (Turkey) YÖKSİS SJR Q1 JCR Q2
- 2022 Surface roughness prediction of wire electric discharge machining (WEDM)-machined AZ91D magnesium alloy using multilayer perceptron, ensemble neural network, and evolving product-unit neural network YÖKSİS SJR Q2 JCR Q2
- 2022 Investigation of Slime Mould Algorithm and Hybrid Slime Mould Algorithms' Performance in Global Optimization Problems YÖKSİS TR Index
- 2022 St37 Çeliğinin Tornalanmasında Yüzey Pürüzlülüğünün Destek Vektör Regresyonu Kullanılarak Tahmini YÖKSİS TR Index
- 2022 Güncel Metasezgisel Yöntemlerin Standart Kalite Testi Fonksiyonlarında Karşılaştırılması YÖKSİS TR Index
- 2021 DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC YÖKSİS SJR Q2 JCR Q2