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Shahaboddin Shamshirband
Researcher at Ton Duc Thang University
Publications - 408
Citations - 18037
Shahaboddin Shamshirband is an academic researcher from Ton Duc Thang University. The author has contributed to research in topics: Adaptive neuro fuzzy inference system & Wind speed. The author has an hindex of 58, co-authored 404 publications receiving 13207 citations. Previous affiliations of Shahaboddin Shamshirband include Information Technology University & Islamic Azad University of Mashhad.
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Journal ArticleDOI
Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions
TL;DR: This study explores the state of the art of computationally intelligent methods that are applied in load forecasting in terms of their classification and evaluation for sustainable operation of the overall energy management system.
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Copy-move forgery detection
Nor Bakiah Abd Warif,Ainuddin Wahid Abdul Wahab,Mohd Yamani Idna Idris,Roziana Ramli,Rosli Salleh,Shahaboddin Shamshirband,Kim-Kwang Raymond Choo +6 more
TL;DR: The common CMFD workflow of feature extraction and matching process using block or keypoint-based approaches is characterized, and the types of copied regions are categorized.
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Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks
Shahaboddin Shamshirband,Shahaboddin Shamshirband,Ahmed Patel,Ahmed Patel,Nor Badrul Anuar,Miss Laiha Mat Kiah,Ajith Abraham +6 more
TL;DR: The proposed cooperative Game-based Fuzzy Q-learning (G-FQL) model implements cooperative defense counter-attack scenarios for the sink node and the base station to operate as rational decision-maker players through a game theory strategy, and yields a greater improvement than existing machine learning methods.
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Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System
Majid Dehghani,Hossein Riahi-Madvar,Farhad Hooshyaripor,Amir Mosavi,Amir Mosavi,Shahaboddin Shamshirband,Edmundas Kazimieras Zavadskas,Kwok Wing Chau +7 more
TL;DR: In this paper, the authors used the Grey Wolf optimization (GWO) method coupled with an adaptive neuro-fuzzy inference system (ANFIS) to forecast the hydropower generation.
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Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria
TL;DR: In this article, the accuracy of a soft computing technique is investigated for predicting solar radiation based on a series of measured meteorological data: monthly mean minimum temperature and, maximum temperature, and sunshine duration obtained from a meteorological station located in Iseyin, Nigeria.