M
Mohammad Reza Nikoo
Researcher at Shiraz University
Publications - 186
Citations - 3272
Mohammad Reza Nikoo is an academic researcher from Shiraz University. The author has contributed to research in topics: Computer science & Environmental science. The author has an hindex of 27, co-authored 132 publications receiving 2142 citations. Previous affiliations of Mohammad Reza Nikoo include Sultan Qaboos University & University of Tehran.
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A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects
TL;DR: An evidential reasoning approach was applied for the first time in the context of project scheduling to identify the best Pareto solution for discrete time-cost-quality trade-off problems (DTCQTPs) and proved effective in raising the efficiently of construction project scheduling.
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Evaluating the efficacy of SVMs, BNs, ANNs and ANFIS in wave height prediction
Iman Malekmohamadi,Iman Malekmohamadi,Mohammad Reza Bazargan-Lari,Reza Kerachian,Mohammad Reza Nikoo,Mahsa Fallahnia +5 more
TL;DR: Several soft computing-based models, namely Support Vector Machines, Bayesian Networks, artificial Neural Networks, Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System are used for mapping wind data to wave height.
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A Century of Observations Reveals Increasing Likelihood of Continental-Scale Compound Dry-Hot Extremes
Mohammad Reza Alizadeh,Jan Adamowski,Mohammad Reza Nikoo,Amir AghaKouchak,Philip E. Dennison,Mojtaba Sadegh +5 more
TL;DR: It is shown that dry-hot extremes have homogeneously enlarged over the past 122 years, pointing to spatial propagation of extreme dryness and heat and increased probability of continental-scale compound extremes.
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Krill herd algorithm-based neural network in structural seismic reliability evaluation
TL;DR: It has been revealed that the artificial neural network optimized with the krill herd algorithm supersedes the afore-mentioned models in potential, flexibility, and precision.
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Multi-objective decision-making for green infrastructure planning (LID-BMPs) in urban storm water management under uncertainty
TL;DR: A useful new framework for green infrastructure (GI) planning for the management of urban runoff quality and quantity is presented and results showed that the SWMM could be effectively replaced with a MLP-based meta-model in simulation-optimization problems for urban runoff management.