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Category Summary
Total Raw Score
24.90
Category Weight
%35
Weighted Score Contribution
8.72

Evaluation Details

Activity
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence
Criterion: Other Articles
Summary Info
Authors
ÖZALP RECEP
Journal
IEEE Access
Language
Türkçe
Scope
Uluslararası
Peer Review
Hakemli
DOI
10.1109/ACCESS.2024.3385426
Scoring Breakdown
Base Score: 4.00
Base Score Breakdown
  • Diğer Makaleler 2.00
  • Özgün Makale 2.00
Total (Base) 4.00
Final Score: 4.84
Applied Multipliers
1. in author order (x1.00) Hakemli (x1.10) Uluslararası (x1.10)
Calculation
4.00 × 1.00 × 1.10 × 1.10 = 4.84
Calculated: 05.08.2026 02:07

Activity
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration
Criterion: Other Articles
Summary Info
Authors
ÖZALP RECEP
Journal
Cluster Computing
Language
Türkçe
Scope
Uluslararası
Peer Review
Hakemli
DOI
10.1007/s10586-021-03348-7
Scoring Breakdown
Base Score: 4.00
Base Score Breakdown
  • Diğer Makaleler 2.00
  • Özgün Makale 2.00
Total (Base) 4.00
Final Score: 4.84
Applied Multipliers
1. in author order (x1.00) Hakemli (x1.10) Uluslararası (x1.10)
Calculation
4.00 × 1.00 × 1.10 × 1.10 = 4.84
Calculated: 05.08.2026 02:07

Activity
Efficient android electronic nose design for recognition and perception of fruit odors using Kernel Extreme Learning Machines
Criterion: Other Articles
Summary Info
Authors
UÇAR AYŞEGÜL,ÖZALP RECEP
Journal
Chemometrics and Intelligent Laboratory Systems
Language
İngilizce
Scope
Uluslararası
Peer Review
Hakemli
DOI
10.1016/j.chemolab.2017.05.013
Scoring Breakdown
Base Score: 4.00
Base Score Breakdown
  • Diğer Makaleler 2.00
  • Özgün Makale 2.00
Total (Base) 4.00
Final Score: 3.87
Applied Multipliers
2. in author order (x0.80) Hakemli (x1.10) Uluslararası (x1.10)
Calculation
4.00 × 0.80 × 1.10 × 1.10 = 3.87
Calculated: 05.08.2026 02:07

Activity
End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot
Criterion: Other Papers
Summary Info
Authors
ASLAN SİMGE NUR,ÖZALP RECEP,UÇAR AYŞEGÜL,GÜZELİŞ CÜNEYT
Event
2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
Language
İngilizce
Scope
Uluslararası
Scoring Breakdown
Base Score: 3.00
Final Score: 2.90
Applied Multipliers
2. in author order (x0.80) İngilizce (x1.10) Uluslararası (x1.10)
Calculation
3.00 × 0.80 × 1.10 × 1.10 = 2.90
Calculated: 05.08.2026 02:07

Activity
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion
Criterion: Other Papers
Summary Info
Authors
ÖZALP RECEP,KAYMAK ÇAĞRI,YILDIRIM ÖZAL,UÇAR AYŞEGÜL,DEMİR YAKUP,GÜZELİŞ CÜNEYT
Event
2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)
Language
İngilizce
Scope
Uluslararası
Scoring Breakdown
Base Score: 3.00
Final Score: 3.63
Applied Multipliers
1. in author order (x1.00) İngilizce (x1.10) Uluslararası (x1.10)
Calculation
3.00 × 1.00 × 1.10 × 1.10 = 3.63
Calculated: 05.08.2026 02:07

Activity
Meyve kokularının algılanması ve sınıflandırılması için düşük maliyetli elektronik burun tasarımı
Criterion: Other Papers
Summary Info
Authors
ÖZALP RECEP,UÇAR AYŞEGÜL
Event
Akıllı Sistemlerde Yenilikler ve Uygulamaları (ASYU) Sempozyumu
Language
Türkçe
Scope
Ulusal
Scoring Breakdown
Base Score: 3.00
Final Score: 2.40
Applied Multipliers
1. in author order (x1.00) Türkçe (x1.00) Ulusal (x0.80)
Calculation
3.00 × 1.00 × 1.00 × 0.80 = 2.40
Calculated: 05.08.2026 02:07

Activity
Özalp R., Varol N.K., Taşci B., Uçar A. (2020) A Review of Deep Reinforcement Learning Algorithms and Comparative Results on Inverted Pendulum System.
Criterion: Book Type: Scientific Book
Summary Info
Authors
ÖZALP RECEP,VAROL NURİ,TAŞÇI BURAK,UÇAR AYŞEGÜL
Language
İngilizce
Scope
Uluslararası
ISBN
978-3-030-49723-1
Publisher
Springer, Cham
Scoring Breakdown
Base Score: 2.00
Final Score: 2.42
Applied Multipliers
1. in author order (x1.00) İngilizce (x1.10) Uluslararası (x1.10)
Calculation
2.00 × 1.00 × 1.10 × 1.10 = 2.42
Calculated: 05.08.2026 02:07