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akaturk Academic measurement

Academician

ÖZLEM KARAHASAN

DOKTOR ÖĞRETİM ÜYESİ

AVRASYA ÜNİVERSİTESİ MÜHENDİSLİK VE DOĞA BİLİMLERİ FAKÜLTESİ BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ

  • Ana Dal Fen Bilimleri ve Matematik Temel Alanı
  • Yan Dal İstatistik

A quick look at recorded outputs — details below.

  • Articles 8
  • Projects 1
  • Books 0
  • Proceedings 7
  • Patents 1
  • Artistic 1
Scopus (SJR) Q1 5 Q2 0 Q3 0 Q4 0
WoS (JCR) Q1 1 Q2 0 Q3 0 Q4 0
TR Index 0 articles

Articles

Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.

Index filters

8 publications total

Scopus (SJR)
Q1 5 Q2 0 Q3 0 Q4 0
WoS (JCR)
Q1 1 Q2 0 Q3 0 Q4 0
TR Index
0 articles

Article list

  1. 2026 Forecasting of Giresun Temperature and Pressure Data with Multilayer Artificial Neural Network Turkish Journal of Forecasting DOI 10.34110/forecasting.1811454 %
  2. 2026 Forecasting of İstanbul Solar Power Using Dendritic Neuron Model Artificial Neural Network Karadeniz Fen Bilimleri Dergisi DOI 10.31466/kfbd.1689378 %
  3. 2025 A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism Information Sciences DOI 10.1016/j.ins.2024.121356 %
  4. 2024 New deep recurrent hybrid artificial neural network for forecasting seasonal time series Granular Computing DOI 10.1007/s41066-023-00445-3 %
  5. 2024 Forecasting of Giresun Hazelnut Quantity in Giresun Province Using Pi-Sigma Artificial Neural Networks Turkish Journal of Forecasting DOI 10.34110/forecasting.1468419 %
  6. 2023 A new training algorithm for long short-term memory artificial neural network based on particle swarm optimization Granular Computing DOI 10.1007/s41066-023-00389-8 %
  7. 2022 Winsorized dendritic neuron model artificial neural network and a robust training algorithm with Tukey’s biweight loss function based on particle swarm optimization Granular Computing DOI 10.1007/s41066-022-00345-y %
  8. 2021 A Pi-Sigma artificial neural network based on sine cosine optimization algorithm Granular Computing DOI 10.1007/s41066-021-00297-9 %

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