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Shahaboddin Shamshirband
Ton Duc Thang University
Support vector machineEngineeringAdaptive neuro fuzzy inference systemComputer scienceArtificial neural network
378Publications
38H-index
5,858Citations
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Publications 414
Newest
#1Mohamad Javad Alizadeh (KNTU: K.N.Toosi University of Technology)H-Index: 7
#2Tahereh Alinejad-Tabrizi (UT: University of Tehran)
Last. Shahaboddin Shamshirband (Ton Duc Thang University)H-Index: 38
view all 4 authors...
Abstract This study investigates future variability of wave power in the Persian Gulf. The contribution of this paper is twofold: (a) to evaluate spatiotemporal resolutions, downscaling techniques and global circulation model (GCM) selection impacts running multi-climate models, and (b) to project wave energy resources and its variability by the end of 21st century using RCP4.5 and RCP8.5 as two different representative concentration pathways (RCPs). The SWAN (Simulating Waves Nearshore) model f...
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#1Anwar GhaniH-Index: 3
Last. Antonio PescapeH-Index: 30
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Cost, performance, and penalties are the key factors to revenue generation and customer satisfaction. They have a complex correlation, that gets more complicated when missing a proper framework that unambiguously defines these factors. Service-level agreement (SLA) is the initial document discussing selected parameters as a precondition to business initialisation. The clear definition and application of the SLA is of paramount importance as for modern as a Service online businesses no direct com...
1 CitationsSource
#1Farzaneh Sajedi Hosseini (UT: University of Tehran)H-Index: 2
#2Bahram ChoubinH-Index: 11
Last. Ali Torabi Haghighi (University of Oulu)H-Index: 9
view all 7 authors...
Abstract Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has been among the most devastated regions affected by the major floods. While the temporal flash-flood forecasting models are mainly developed for warning systems, the models for assessing hazardous areas can greatly contribute to adaptation and mitigation policy-making and disaster risk reduction. Former researches in the flash-flood hazard mapping have heightened the urge for the advancement of more...
6 CitationsSource
#1Shahaboddin Shamshirband (Ton Duc Thang University)H-Index: 38
#2Alireza Baghban (AUT: Amirkabir University of Technology)H-Index: 2
Last. Meysam Najafi (Kermanshah University of Medical Sciences)H-Index: 5
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Abstract The potential of Mn-doped nanocages and Ti-doped nanocages as catalysts to oxidize the NO2 and ClO molecules are examined through theoretical methods. The NO2 oxidation on Mn-doped C76 and Mn-doped B38N38 and ClO oxidation on Ti-doped C48 and Ti-doped B24N24 are investigated. Results showed that NO2 and ClO are oxidized through LH and ER paths on nanocage surfaces. Results showed that Mn-surface-O-NO2-O* and Ti-surface-O-ClO-O* in ER path are more stable than LH path ca 1.4 and 1.8 kcal...
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#1Aaqif Afzaal Abbasi (FUI: Foundation University, Islamabad)H-Index: 1
Last. Shahaboddin Shamshirband (Ton Duc Thang University)H-Index: 38
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With the rapid developments in cloud computing and mobile networks, multimedia content can be accessed conveniently. Recently, some novel intelligent caching-based approaches have been proposed to improve the memory architectures for multimedia applications. These applications often face bottleneck related challenges which result in performance degradation and service delay issues. Intelligent multimedia network applications access the shared data by using a specific network file system. This re...
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#1Esmaeel Dodangeh (Sari Agricultural Sciences and Natural Resources University)H-Index: 3
#2Bahram ChoubinH-Index: 11
Last. Amir Mosavi (Óbuda University)H-Index: 14
view all 7 authors...
Abstract Flood susceptibility projections relying on standalone models, with one-time train-test data splitting for model calibration, yields biased results. This study proposed novel integrative flood susceptibility prediction models based on multi-time resampling approaches, random subsampling (RS) and bootstrapping (BT) algorithms, integrated with machine learning models: generalized additive model (GAM), boosted regression tree (BTR) and multivariate adaptive regression splines (MARS). RS an...
4 CitationsSource
#2Narjes NabipourH-Index: 3
Last. Amir MosaviH-Index: 14
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Industry uses various solvents in the processes of refrigeration and ventilation. Among them, the Ionic liquids (ILs) as the relatively new solvents, are known for their proven eco-friendly characteristics. In this research, a comprehensive literature review was carried out to deliver an insight into the ILs and the prediction models used for estimating the ammonia solubility in ILs. Furthermore, a number of advanced machine learning methods, i.e. multilayer perceptron (MLP) and a combination of...
Solar energy is a renewable resource of energy that is broadly utilized and has the least emissions among renewable energies. In this study, machine learning methods of artificial neural networks (ANNs), least squares support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction models for the thermal performance of a photovoltaic-thermal solar collector (PV/T). In the proposed models, the inlet temperature, flow rate, heat, solar radiation, and the sun heat have been consid...
Pressure fluctuations beneath hydraulic jumps potentially endanger the stability of stilling basins. This paper deals with the mathematical modeling of the results of laboratory-scale experiments to estimate the extreme pressures. Experiments were carried out on a smooth stilling basin underneath free hydraulic jumps downstream of an Ogee spillway. From the probability distribution of measured instantaneous pressures, pressures with different probabilities could be determined. It was verified th...
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