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Mehmet Cunkas
PeerJ Editor, Author & Reviewer
3,785 Points

Contributions by role

Author 100
Reviewer 15
Editor 3,670

Contributions by subject area

Bioinformatics
Artificial Intelligence
Brain-Computer Interface
Data Science
Algorithms and Analysis of Algorithms
Data Mining and Machine Learning
Scientific Computing and Simulation
Neural Networks
Distributed and Parallel Computing
Mobile and Ubiquitous Computing
Optimization Theory and Computation
Computational Linguistics
Social Computing
Text Mining
Agents and Multi-Agent Systems
Robotics
Computer Vision
Spatial and Geographic Information Systems
Network Science and Online Social Networks
Computer Networks and Communications
Cryptography
Emerging Technologies
Autonomous Systems
Human-Computer Interaction
Internet of Things
Natural Language and Speech
Software Engineering
Operating Systems
Blockchain
Adaptive and Self-Organizing Systems
Theory and Formal Methods
Computational Biology

Mehmet Cunkas

PeerJ Editor, Author & Reviewer

Summary

Dr. Mehmet Cunkas is a Professor in the Department of Electrical and Electronics Engineering at Selçuk University. Prior to his academic appointment, he worked as an electrical field engineer and customer manager at Electricity Distribution Inc. He has authored numerous publications in international peer-reviewed journals and conference proceedings. Dr. Cunkas also serves as a section editor and editorial board member for several SCI-indexed journals and contributes as a scientific committee member at international conferences. His research interests include electric machines, artificial intelligence, optimization theory and computing, load forecasting, and renewable energy systems.

Artificial Intelligence Optimization Theory & Computation Real-Time & Embedded Systems

Section Editor

Applications of Artificial Intelligence

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Selcuk University

Work details

Professor Dr

Selcuk University
October 2005
Electrical and Electronics Engineering
Faculty member

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Edited 21
April 16, 2025
A genetic programming-based ensemble method for long-term electricity demand forecasting
Hayat Ahmed Issa, Hasan Hüseyin Çevik, Ahmet Yilmaz, Mehmet Cunkas
https://doi.org/10.7717/peerj-cs.2825
December 19, 2022
A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence
Engin Melekoglu, Umit Kocabicak, Muhammed Kürşad Uçar, Cahit Bilgin, Mehmet Recep Bozkurt, Mehmet Cunkas
https://doi.org/10.7717/peerj-cs.1188

Academic Editor on

August 22, 2025
Forecasting temperature and rainfall using deep learning for the challenging climates of Northern India
Syed Nisar Hussain Bukhari, Kingsley A. Ogudo
https://doi.org/10.7717/peerj-cs.3012
August 8, 2025
2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction
Zinnet Duygu Akşehir, Erdal Kılıç
https://doi.org/10.7717/peerj-cs.3107
June 16, 2025
Aerial image segmentation of embankment dams based on multispectral remote sensing: a case study in the Belo Monte Hydroelectric Complex, Pará, Brazil
Carlos André de Mattos Teixeira, Thabatta Moreira Alves de Araujo, Evelin Cardoso, Marcos Antonio Costantin Filho, João Weyl Costa, Carlos Renato Lisboa Frances
https://doi.org/10.7717/peerj-cs.2917
April 23, 2025
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13
Md Saef Ullah Miah, Junaida Sulaiman, Md Imamul Islam, Md Masuduzzaman, Molla Shahadat Hossain Lipu, Ramdhan Nugraha
https://doi.org/10.7717/peerj-cs.2819
February 27, 2025
Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns
Edrees Ramadan Mersal, Kürşat Mustafa Karaoğlan, Hakan Kutucu
https://doi.org/10.7717/peerj-cs.2719
January 17, 2025
A novel group tour trip recommender model for personalized travel systems
Mohammed Alatiyyah
https://doi.org/10.7717/peerj-cs.2589
December 20, 2024
A multi-objective path optimization method for plant protection robots based on improved A*-IWOA
Jing Niu, Chuanyan Shen, Lipeng Zhang, Qijun Li, Haohao Ma
https://doi.org/10.7717/peerj-cs.2620
November 20, 2024
Probability-boosting technique for combinatorial optimization
Sanpawat Kantabutra
https://doi.org/10.7717/peerj-cs.2499
June 28, 2024
A priority experience replay actor-critic algorithm using self-attention mechanism for strategy optimization of discrete problems
Yuezhongyi Sun, Boyu Yang
https://doi.org/10.7717/peerj-cs.2161
April 29, 2024
Demand-side load forecasting in smart grids using machine learning techniques
Muhammad Yasir Masood, Sana Aurangzeb, Muhammad Aleem, Ameen Chilwan, Muhammad Awais
https://doi.org/10.7717/peerj-cs.1987
March 29, 2024
Short-term wind power forecasting through stacked and bi directional LSTM techniques
Mehmood Ali Khan, Iftikhar Ahmed Khan, Sajid Shah, Mohammed EL-Affendi, Waqas Jadoon
https://doi.org/10.7717/peerj-cs.1949
November 13, 2023
Enhanced payload volume in the least significant bits image steganography using hash function
Yazeed Yasin Ghadi, Tamara AlShloul, Zahid Iqbal Nezami, Hamid Ali, Muhammad Asif, Mohamed Jaward Bah
https://doi.org/10.7717/peerj-cs.1606
October 2, 2023
Study on a hybrid algorithm combining enhanced ant colony optimization and double improved simulated annealing via clustering in the Traveling Salesman Problem (TSP)
Tan Hao, Wu Yingnian, Zhang Jiaxing, Zhang Jing
https://doi.org/10.7717/peerj-cs.1609
September 25, 2023
A non-linear optimization based robust attribute weighting model for the two-class classification problems
Adi Alhudhaif
https://doi.org/10.7717/peerj-cs.1598
August 24, 2023
Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness
Yulong Xi, Fengming Tao, Schanelle Brooks
https://doi.org/10.7717/peerj-cs.1519
May 5, 2023
Green city logistics path planning and design based on genetic algorithm
Limin Ran, Shengnan Ran, Chunmei Meng
https://doi.org/10.7717/peerj-cs.1347
April 6, 2023
A hybrid GA-PSO strategy for computing task offloading towards MES scenarios
Wenzao Li, Xiulan Sun, Bing Wan, Hantao Liu, Jie Fang, Zhan Wen
https://doi.org/10.7717/peerj-cs.1273
July 5, 2022
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
Dheeb Albashish
https://doi.org/10.7717/peerj-cs.1031
February 3, 2022
A mathematical formulation and an NSGA-II algorithm for minimizing the makespan and energy cost under time-of-use electricity price in an unrelated parallel machine scheduling
Marcelo F. Rego, Júlio Cesar E.M. Pinto, Luciano P. Cota, Marcone J.F. Souza
https://doi.org/10.7717/peerj-cs.844
September 29, 2021
Optimal placement of tsunami sensors with depth constraint
Ikha Magdalena, Raynaldi La’lang, Renier Mendoza, Jose Ernie Lope
https://doi.org/10.7717/peerj-cs.685
September 28, 2021
GenACO a multi-objective cached data offloading optimization based on genetic algorithm and ant colony optimization
Mulki Indana Zulfa, Rudy Hartanto, Adhistya Erna Permanasari, Waleed Ali
https://doi.org/10.7717/peerj-cs.729