夏沙哈/ Shahab Shamshirband

副教授/Associate Professor

信箱:shamshirbands@yuntech.edu.tw

最高學歷

馬來亞大學電腦科學博士

PostDoc in Computer Science, Norwegian University Science and Technology, Norway


研究領域

大數據分析Big Data Analysis、人工智慧工程應用Engineering Application of Artificial Intelligence 、機器學習Machine Learning 、軟計算Soft Computing、數學模型Mathematical Modeling 、可解釋人工智慧Explainable AI、機器智慧Machine Intelligence、物聯網式健康照護系統IoT based Health Care Systems


  • University of New South Wales
    • Biological & Medical Machine Learning Lab (BML),
    • Graduate School of Biomedical Engineering Machine Learning Research Fellow (October 2020-Present)
  • National Yunlin University of Science and Technology
    • Future Technology Research Center, Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology Associate Professor ( Feb 2021)
  • Transport and Telecommunication Institute (TSI)
    • Department of Computer Science Guest Professor (October 2018-Present)
  • Rutgers University Camden
    • Machine Learning, Bioinformatics, and Computational Biology Lab ( MLBC Lab)
    • Machine Learning Research Fellow (October 2020-Present)
  • University of Hawaii
    • Research Fellow (Jan 2021- Present)
  • Norwegian University of Science and Technology
    • Faculty of Information Technology and Electrical Engineering PostDoc Research Fellow (Nov 2017- Nov 2020)
  • Ton Duc Thang University
    • Department for Management of Science and Technology Development Researcher (Jan 2016- May 2020)
  • Duy Tan University
    • Institute of Research and Development Researcher (October 2019- Jan 2021)
  • Iran University of Science and Technology
    • School of Computer Engineering Adjunct Assistant Professor ( Jan 2016- Nov 2017)
  • University of Malaya
    • Faculty of Computer Science and Information Technology Senior Lecturer ( Nov 2014- Jan 2016 )
  • Islamic Azad University,
    • Faculty of Computer Science and Information Technology Senior Lecturer ( Sep 2008- Jan 2021)

  • UM Excellence Awards (PhD Candidate with Highest Impact Publications)
  • Postdoc Fellowship: The High Impact Research, University of Malaya, Malaysia (Dec 2014- Aug 2015)
  • Scholarship: The Bright Sparks Program, University of Malaya, Malaysia (Sep 2011- Dec 2014)
  • Top Young Elites Scientific of Islamic Azad University, Tehran, Iran (2011)
  • Award: Outstanding and Recognized Reviewer by Elsevier (2015-2019)
  • Top 1% scientists in the world in 2017-2018 based on Essential Science Indicators (Thomson Reuters- ESI- ISI)
  • Top 1% scientists in the world in 2017-2018 based on Essential Science Indicators (Thomson Reuters- ESI- ISI)

    • World’s Top 2 percent highly cited scientists’ list by Stanford University.(https://data.mendeley.com/datasets/btchxktzyw/2).
    • UM President's Excellence Awards (Ph.D. Candidate with Highest Impact Publications)
    • Research Award: Was awarded the outstanding faculty award (Research) by Foundation for Science and Technology Development of Ton Duc Thang University (FOS-TECT), website: http://fostect.tdtu.edu.vn, under [grant number FOSTECT.2017.BR.19].
    • IEEE Senior Member Award
    • Postdoc Fellowship: The High Impact Research, University of Malaya, Malaysia (Dec 2014- Aug 2015)
    • Received Top Scholarship from Bright Sparks Program, University of Malaya, Malaysia (Sep 2011- Dec 2014)
    • Top Young Elites Scientific of Islamic Azad University, Tehran, Iran (2011).
    • Outstanding and Recognized Reviewer Award by Elsevier (2015-2019)
    • Top 1% scientists in the world in 2017-present based on Essential Science Indicators (Thomson Reuters- ESI- ISI).
    • Top 1% of reviewers in Computer Science on Publons global reviewer database.
    • Finalist candidate at cybersecurity award provided by Kaspersky s Cyber Security for the Next Generation, Singapore
    • Top Scientists Ranking in Computer Science on G2R World Ranking and G2R World Ranking 8th in Taiwan. (https://research.com/u/shahab-shamshirband)

  • Shamshirband, S.; Esmaeilbeiki, F; Zarehaghi, D; Neyshabouri, M; Sannadianfard, S; Ghorbani, MA; Mosavi, A; Nabipour, N; Chau, KW. JAN 1, 2020. Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2020.1788644
  • Shamshirband, S.; Mosavi, A; Rabczuk, T; Nabipour, N; Chau, KW. JAN 1, 2020. Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2020.1773932
  • Shamshirband, S.; Joloudari, JH; GhasemiGol, M; Saadatfar, H; Mosavi, A; Nabipour, N. JAN, 2020. FCS-MBFLEACH: Designing an Energy-Aware Fault Detection System for Mobile Wireless Sensor Networks. MATHEMATICS. 10.3390/math8010028
  • Shamshirband, S.; Baghban, A; Nabipour, N; Najafi, M. APR 1, 2020. Manganese-doped nanocages (B38N38 and C-76) and titanium-doped nanocages (C-48 and B24N24) as effective catalysts to oxidize the NO2 and ClO molecules. APPLIED SURFACE SCIENCE. 10.1016/j.apsusc.2020.145249
  • Shamshirband, S.; Saraei, P; Nabipour, N; Baghban, A. , . Hydrocarbons density estimates for a wide range of conditions using RBF-ANN and ANFIS strategies. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS. 10.1080/15567036.2019.1704313
  • Shamshirband, S.; Mosavi, A; Rabczuk, T. AUG, 2020. Particle swarm optimization model to predict scour depth around a bridge pier. FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING. 10.1007/s11709-020-0619-2
  • Shamshirband, S.; Mohammadi, K; Piri, J; Petkovic, D; Karim, A. JUL 1, 2020. Expression of Concern: Hybrid auto-regressive neural network model for estimating global solar radiation in Bandar Abbas, Iran (vol 75, 172, 2016). ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-020-09030-2
  • Shamshirband, S.; Nodoushan, EJ; Adolf, JE; Manaf, AA; Mosavi, A; Chau, KW. JAN 1, 2019. Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1553742
  • Shamshirband, S.; Mohammadi, K; Piri, J; Petkovic, D; Karim, A. JAN, 2016. Hybrid auto-regressive neural network model for estimating global solar radiation in Bandar Abbas, Iran. ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-015-4970-x
  • Shamshirband, S.; Amirmojahedi, M; Gocic, M; Akib, S; Petkovic, D; Piri, J; Trajkovic, S. FEB, 2016. Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING. 10.1061/(ASCE)IR.1943-4774.0000949
  • Shamshirband, S.; Bonakdari, H; Zaji, AH; Petkovic, D; Motamedi, S. NOV, 2016. Improved side weir discharge coefficient modeling by adaptive neuro-fuzzy methodology. KSCE JOURNAL OF CIVIL ENGINEERING. 10.1007/s12205-016-1723-7
  • Shamshirband, S.; Keivani, A; Mohammadi, K; Lee, M; Abd Hamid, SH; Petkovic, D. JUN, 2016. Assessing the proficiency of adaptive neuro-fuzzy system to estimate wind power density: Case study of Aligoodarz, Iran. RENEWABLE & SUSTAINABLE ENERGY REVIEWS. 10.1016/j.rser.2015.12.269.
  • Shamshirband, S.; Mohammadi, K; Khorasanizadeh, H; Yee, PL; Lee, M; Petkovic, D; Zalnezhad, E. APR, 2016. Estimating the diffuse solar radiation using a coupled support vector machine-wavelet transform model. RENEWABLE & SUSTAINABLE ENERGY REVIEWS. 10.1016/j.rser.2015.11.055.
  • Shamshirband, S.; Tabatabaei, M; Aghbashlo, M; Yee, PL; Petkovic, D. FEB 5, 2016. Support vector machine-based exergetic modelling of a DI diesel engine running on biodiesel-diesel blends containing expanded polystyrene. APPLIED THERMAL ENGINEERING. 10.1016/j.applthermaleng.2015.10.140.
  • Nabipour, N; Dehghani, M; Mosavi, A; Shamshirband, S., 2020. Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks. IEEE ACCESS. 10.1109/ACCESS.2020.2964584
  • Asadi, E; Isazadeh, M; Samadianfard, S; Ramli, MF; Mosavi, A; Nabipour, N; Shamshirband, S.; Hajnal, E; Chau, KW. JAN, 2020. Groundwater Quality Assessment for Sustainable Drinking and Irrigation. SUSTAINABILITY. 10.3390/su12010177
  • Nasab, MA; Shamshirband, S.; Chronopoulos, AT; Mosavi, A; Nabipour, N. FEB, 2020. Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things. ELECTRONICS. 10.3390/electronics9020320
  • Alizadeh, MJ; Alinejad-Tabrizi, T; Kavianpour, MR; Shamshirband, S. MAY 20, 2020. Projection of spatiotemporal variability of wave power in the Persian Gulf by the end of 21st century: GCM and CORDEX ensemble. JOURNAL OF CLEANER PRODUCTION. 10.1016/j.jclepro.2020.120400
  • Dodangeh, E; Choubin, B; Eigdir, AN; Nabipour, N; Panahi, M; Shamshirband, S.; Mosavi, A. FEB 25, 2020. Integrated machine learning methods with resampling algorithms for flood susceptibility prediction. SCIENCE OF THE TOTAL ENVIRONMENT. 10.1016/j.scitotenv.2019.135983
  • Badshah, A; Ghani, A; Shamshirband, S.; Aceto, G; Pescape, A. APR 22, 2020. Performance-based service-level agreement in cloud computing to optimise penalties and revenue. IET COMMUNICATIONS. 10.1049/iet-com.2019.0855
  • Dehghani, M; Salehi, S; Mosavi, A; Nabipour, N; Shamshirband, S.; Ghamisi, P. FEB, 2020. Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 10.3390/ijgi9020073
  • Nabipour, N; Mosavi, A; Baghban, A; Shamshirband, S.; Felde, I. JAN, 2020. Extreme Learning Machine-Based Model for Solubility Estimation of Hydrocarbon Gases in Electrolyte Solutions. PROCESSES. 10.3390/pr8010092
  • Nabipour, N; Mosavi, A; Hajnal, E; Nadai, L; Shamshirband, S.; Chau, KW. JAN 1, 2020. Modeling climate change impact on wind power resources using adaptive neuro-fuzzy inference system. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2020.1722241
  • Riahi-Madvar, H; Dehghani, M; Parmar, KS; Nabipour, N; Shamshirband, S., 2020. Improvements in the Explicit Estimation of Pollutant Dispersion Coefficient in Rivers by Subset Selection of Maximum Dissimilarity Hybridized With ANFIS-Firefly Algorithm (FFA). IEEE ACCESS. 10.1109/ACCESS.2020.2979927
  • Saadatfar, H; Khosravi, S; Joloudari, JH; Mosavi, A; Shamshirband, S. FEB, 2020. A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning. MATHEMATICS. 10.3390/math8020286
  • Shabani, S; Samadianfard, S; Sattari, MT; Mosavi, A; Shamshirband, S.; Kmet, T; Varkonyi-Koczy, AR. JAN, 2020. Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis. ATMOSPHERE. 10.3390/atmos11010066
  • Wang, Y; Subhan, F; Shamshirband, S.; Asghar, MZ; Ullah, I; Habib, A. , 2020. Fuzzy-Based Sentiment Analysis System for Analyzing Student Feedback and Satisfaction. CMC-COMPUTERS MATERIALS & CONTINUA. 10.32604/cmc.2020.07920
  • Karballaeezadeh, N; Zaremotekhases, F; Shamshirband, S.; Mosavi, A; Nabipour, N; Csiba, P; Varkonyi-Koczy, AR. APR, 2020. Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems. ENERGIES. 10.3390/en13071718
  • Bemani, A; Baghban, A; Shamshirband, S.; Mosavi, A; Csiba, P; Varkonyi-Koczy, AR. , 2020. Applying ANN, ANFIS and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2. CMC-COMPUTERS MATERIALS & CONTINUA. 10.32604/cmc.2020.07723
  • Homaei, MH; Soleimani, F; Shamshirband, S.; Mosavi, A; Nabipour, N; Varkonyi-Koczy, AR. , 2020. An Enhanced Distributed Congestion Control Method for Classical 6LowPAN Protocols Using Fuzzy Decision System. IEEE ACCESS. 10.1109/ACCESS.2020.2968524
  • Kargar, K; Samadianfard, S; Parsa, J; Nabipour, N; Shamshirband, S.; Mosavi, A; Chau, KW. JAN 1, 2020. Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2020.1712260
  • Mohammadian, E; Motamedi, S; Shamshirband, S.; Hashim, R; Junin, R; Roy, C; Azdarpour, A. JUN 12, 2020. Expression of Concern: Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide. ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-020-09031-1
  • Mansoor, K; Ghani, A; Chaudhry, SA; Shamshirband, S.; Ghayyur, SAK; Mosavi, A. NOV, 2019. Securing IoT-Based RFID Systems: A Robust Authentication Protocol Using Symmetric Cryptography. SENSORS. 10.3390/s19214752
  • Hafezi, R; Akhavan, AN; Zamani, M; Pakseresht, S; Shamshirband, S. NOV, 2019. Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand. ENERGIES. 10.3390/en12214124
  • Choubin, B; Alamdarloo, EH; Mosavi, A; Hosseini, FS; Ahmad, S; Goodarzi, M; Shamshirband, S. NOV, 2019. Spatiotemporal dynamics assessment of snow cover to infer snowline elevation mobility in the mountainous regions. COLD REGIONS SCIENCE AND TECHNOLOGY. 10.1016/j.coldregions.2019.102870
  • Choubin, B; Borji, M; Mosavi, A; Sajedi-Hosseini, F; Singh, VP; Shamshirband, S. OCT, 2019. Snow avalanche hazard prediction using machine learning methods. JOURNAL OF HYDROLOGY. 10.1016/j.jhydrol.2019.123929
  • Choubin, B; Mosavi, A; Alamdarloo, EH; Hosseini, FS; Shamshirband, S.; Dashtekian, K; Ghamisi, P. DEC, 2019. Earth fissure hazard prediction using machine learning models. ENVIRONMENTAL RESEARCH. 10.1016/j.envres.2019.108770
  • Menad, NA; Hemmati-Sarapardeh, A; Varamesh, A; Shamshirband, S. OCT, 2019. Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration. JOURNAL OF CO2 UTILIZATION. 10.1016/j.jcou.2019.05.009
  • Menad, NA; Noureddine, Z; Hemmati-Sarapardeh, A; Shamshirband, S. APR 15, 2019. Modeling temperature-based oil-water relative permeability by integrating advanced intelligent models with grey wolf optimization: Application to thermal enhanced oil recovery processes. FUEL. 10.1016/j.fuel.2019.01.047
  • Riahi-Madvar, H; Dehghani, M; Seifi, A; Salwana, E; Shamshirband, S.; Mosavi, A; Chau, KW. JAN 1, 2019. Comparative analysis of soft computing techniques RBF, MLP, and ANFIS with MLR and MNLR for predicting grade-control scour hole geometry. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2019.1618396
  • Sardooi, ER; Azareh, A; Choubin, B; Barkhori, S; Singh, VP; Shamshirband, S. OCT, 2019. Applying the remotely sensed data to identify homogeneous regions of watersheds using a pixel-based classification approach. APPLIED GEOGRAPHY. 10.1016/j.apgeog.2019.102071
  • Abbas, SM; Alam, KA; Shamshirband, S. AUG, 2019. A Soft-Rough Set Based Approach for Handling Contextual Sparsity in Context-Aware Video Recommender Systems. MATHEMATICS. 10.3390/math7080740
  • Abbasi, AA; Abbasi, A; Shamshirband, S.; Chronopoulos, AT; Persico, V; Pescape, A. , 2019. Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments. IEEE ACCESS. 10.1109/ACCESS.2019.2927822
  • Abedinnezhad, S; Ahmadi, MH; Pourkiaei, SM; Pourfayaz, F; Mosavi, A; Feidt, M; Shamshirband, S. OCT, 2019. Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle. ENERGIES. 10.3390/en12204000
  • Ahmadi, MH; Madvar, MD; Sadeghzadeh, M; Rezaei, MH; Herrera, M; Shamshirband, S. MAY 2, 2019. Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models. ENERGIES. 10.3390/en12101916
  • Ardabili, SF; Najafi, B; Shamshirband, S. MAR-APR, 2019. Fuzzy logic method for the prediction of cetane number using carbon number, double bounds, iodic, and saponification values of biodiesel fuels. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY. 10.1002/ep.12960
  • Badshah, A; Ghani, A; Qureshi, MA; Shamshirband, S., 2019. Smart Security Framework for Educational Institutions Using Internet of Things (IoT). CMC-COMPUTERS MATERIALS & CONTINUA. 10.32604/cmc.2019.06288
  • Badshah, A; Ghani, A; Shamshirband, S.; Chronopoulos, AT. NOV 19, 2019. Optimising infrastructure as a service provider revenue through customer satisfaction and efficient resource provisioning in cloud computing. IET COMMUNICATIONS. 10.1049/iet-com.2019.0554
  • Dehghani, M; Riahi-Madvar, H; Hooshyaripor, F; Mosavi, A; Shamshirband, S.; Zavadskas, EK; Chau, KW. JAN 2, 2019. Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System. ENERGIES. 10.3390/en12020289
  • Dineva, A; Mosavi, A; Ardabili, SF; Vajda, I; Shamshirband, S.; Rabczuk, T; Chau, KW. MAR 18, 2019. Review of Soft Computing Models in Design and Control of Rotating Electrical Machines. ENERGIES. 10.3390/en12061049
  • Fallah, SN; Ganjkhani, M; Shamshirband, S.; Chau, KW. FEB 1, 2019. Computational Intelligence on Short-Term Load Forecasting: A Methodological Overview. ENERGIES. 10.3390/en12030393
  • Ganjkhani, M; Fallah, SN; Badakhshan, S; Shamshirband, S.; Chau, KW. JUN 1, 2019. A Novel Detection Algorithm to Identify False Data Injection Attacks on Power System State Estimation. ENERGIES. 10.3390/en12112209
  • Ghalandari, M; Shamshirband, S.; Mosavi, A; Chau, KW. JAN 1, 2019. Flutter speed estimation using presented differential quadrature method formulation. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2019.1627676
  • Ghalandari, M; Ziamolki, A; Mosavi, A; Shamshirband, S.; Chau, KW; Bornassi, S. JAN 1, 2019. Aeromechanical optimization of first row compressor test stand blades using a hybrid machine learning model of genetic algorithm, artificial neural networks and design of experiments. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2019.1649196
  • Homaei, MH; Salwana, E; Shamshirband, S. JUL 12, 2019. An Enhanced Distributed Data Aggregation Method in the Internet of Things. SENSORS. 10.3390/s19143173
  • Jafari-Sejahrood, A; Najafi, B; Ardabili, SF; Shamshirband, S.; Mosavi, A; Chau, KW. , 2019. Limiting factors for biogas production from cow manure: energo-environmental approach. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2019.1654411
  • Karballaeezadeh, N; Mohammadzadeh, SD; Shamshirband, S.; Hajikhodaverdikhan, P; Mosavi, A; Chau, KW. JAN 1, 2019. Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan-Firuzkuh road). ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1563829
  • Maddah, H; Sadeghzadeh, M; Ahmadi, MH; Kumar, R; Shamshirband, S. JUL, 2019. Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM). MATHEMATICS. 10.3390/math7070629
  • Mahmood, S; Ghani, A; Daud, A; Shamshirband, S. , 2019. Reputation-Based Approach Toward Web Content Credibility Analysis. IEEE ACCESS. 10.1109/ACCESS.2019.2943747
  • Maleki, B; Ghazvini, M; Ahmadi, MH; Maddah, H; Shamshirband, S. NOV, 2019. Moisture Estimation in Cabinet Dryers with Thin-Layer Relationships Using a Genetic Algorithm and Neural Network. MATHEMATICS. 10.3390/math7111042
  • Menad, NA; Noureddine, Z; Hemmati-Sarapardeh, A; Shamshirband, S.; Mosavi, A; Chau, KW. JAN 1, 2019. Modeling temperature dependency of oil-water relative permeability in thermal enhanced oil recovery processes using group method of data handling and gene expression programming. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2019.1639549
  • Meshram, SG; Ghorbani, MA; Shamshirband, S.; Karimi, V; Meshram, C. OCT, 2019. River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network. SOFT COMPUTING. 10.1007/s00500-018-3598-7
  • Mosavi, A; Salimi, M; Ardabili, SF; Rabczuk, T; Shamshirband, S.; Varkonyi-Koczy, AR. APR 1, 2019. State of the Art of Machine Learning Models in Energy Systems, a Systematic Review. ENERGIES. 10.3390/en12071301
  • Mosavi, A; Shamshirband, S.; Salwana, E; Chau, KW; Tah, JHM. JAN 1, 2019. Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2019.1613448
  • Nabipour, N; Karballaeezadeh, N; Dineva, A; Mosavi, A; Mohammadzadeh, SD; Shamshirband, S. DEC, 2019. Comparative Analysis of Machine Learning Models for Prediction of Remaining Service Life of Flexible Pavement. MATHEMATICS. 10.3390/math7121198
  • Najafi, B; Ardabili, SF; Shamshirband, S.; Chau, KW. , 2019. Spent mushroom compost (SMC) as a source for biogas production in Iran. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2019.1658644
  • Nosratabadi, S; Mosavi, A; Shamshirband, S.; Zavadskas, EK; Rakotonirainy, A; Chau, KW. MAR 2, 2019. Sustainable Business Models: A Review. SUSTAINABILITY. 10.3390/su11061663
  • Qasem, SN; Nazar, A; Qamar, A; Shamshirband, S.; Karim, A. , 2019. A Learning Based Brain Tumor Detection System. CMC-COMPUTERS MATERIALS & CONTINUA. 10.32604/cmc.2019.05617
  • Qasem, SN; Samadianfard, S; Kheshtgar, S; Jarhan, S; Kisi, O; Shamshirband, S.; Chau, KW. JAN 1, 2019. Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1564702
  • Qasem, SN; Samadianfard, S; Nahand, HS; Mosavi, A; Shamshirband, S.; Chau, KW. MAR 20, 2019. Estimating Daily Dew Point Temperature Using Machine Learning Algorithms. WATER. 10.3390/w11030582
  • Qummar, S; Khan, FG; Shah, S; Khan, A; Shamshirband, S.; Rehman, ZU; Khan, IA; Jadoon, W. , 2019. A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection. IEEE ACCESS. 10.1109/ACCESS.2019.2947484
  • Razghandi, M; Hemmati-Sarapardeh, A; Rashidi, F; Dabir, B; Shamshirband, S. OCT 2, 2019. Smart models for predicting under-saturated crude oil viscosity: a comparative study. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS. 10.1080/15567036.2018.1555634
  • Rehman, A; Hussain, SS; Rehman, ZU; Zia, S; Shamshirband, S. APR 25, 2019. Multi-objective approach of energy efficient workflow scheduling in cloud environments. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. 10.1002/cpe.4949
  • Samadianfard, S; Jarhan, S; Salwana, E; Mosavi, A; Shamshirband, S.; Akib, S. SEP, 2019. Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin. WATER. 10.3390/w11091934
  • Torabi, M; Hashemi, S; Saybani, MR; Shamshirband, S.; Mosavi, A. JAN-FEB, 2019. A Hybrid clustering and classification technique for forecasting short-term energy consumption. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY. 10.1002/ep.12934
  • Aram, F; Solgi, E; Garcia, EH; Mohammadzadeh, SD; Mosavi, A; Shamshirband, S. JUL 2, 2019. Design and Validation of a Computational Program for Analysing Mental Maps: Aram Mental Map Analyzer. SUSTAINABILITY. 10.3390/su11143790
  • Samadianfard, S; Majnooni-Heris, A; Qasem, SN; Kisi, O; Shamshirband, S.; Chau, KW. JAN 1, 2019. Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1560364
  • Mohammadi, K; Khorasanizadeh, H; Shamshirband, S.; Tong, CW. JAN, 2019. Expression of Concern: Influence of introducing various meteorological parameters to the Angstrom-Prescott model for estimation of global solar radiation (vol 75, 219, 2016). ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-018-7995-0
  • Mohammadi, K; Mostafaeipour, A; Sedaghat, A; Shamshirband, S.; Petkovic, D. JAN, 2019. Expression of Concern: Application and economic viability of wind turbine installation in Lutak, Iran (vol 75, 248, 2016). ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-018-7996-z
  • Gocic, M; Motamedi, S; Shamshirband, S.; Petkovic, D; Hashim, R. JUN, 2019. Expression of Concern: Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices (vol 29, pg 1993, 2015). STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 10.1007/s00477-019-01676-0
  • Piri, J; Mohammadi, K; Shamshirband, S.; Akib, S. JAN, 2019. Expression of Concern: Assessing the suitability of hybridizing the Cuckoo optimization algorithm with ANN and ANFIS techniques to predict daily evaporation (vol 75, 246, 2016). ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-018-7997-y
  • Ameli, F; Hemmati-Sarapardeh, A; Schaffie, M; Husein, MM; Shamshirband, S. JUN 15, 2018. Modeling interfacial tension in N-2/n-alkane systems using corresponding state theory: Application to gas injection processes. FUEL. 10.1016/j.fuel.2018.02.067
  • Arasteh, MA; Shamshirband, S.; Yee, PL. , 2018. Using multi-attribute decision-making approaches in the selection of a hospital management system. TECHNOLOGY AND HEALTH CARE. 10.3233/THC-170947
  • Hemmati-Sarapardeh, A; Ameli, F; Varamesh, A; Shamshirband, S.; Mohammadi, AH; Dabir, B. FEB 1, 2018. Toward generalized models for estimating molecular weights and acentric factors of pure chemical compounds. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY. 10.1016/j.ijhydene.2017.12.029
  • Kalantari, A; Kamsin, A; Shamshirband, S.; Gani, A; Alinejad-Rokny, H; Chronopoulos, AT. FEB 7, 2018. Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions. NEUROCOMPUTING. 10.1016/j.neucom.2017.01.126
  • Marjani, M; Nasaruddin, F; Gani, A; Shamshirband, S. JAN, 2018. Measuring transaction performance based on storage approaches of Native XML database. MEASUREMENT. 10.1016/j.measurement.2017.09.028
  • Rostami, A; Hemmati-Sarapardeh, A; Shamshirband, S. JUN 15, 2018. Rigorous prognostication of natural gas viscosity: Smart modeling and comparative study. FUEL. 10.1016/j.fuel.2018.02.069
  • Najafi, B; Ardabili, SF; Shamshirband, S.; Chau, KW; Rabczuk, T. AUG 9, 2018. Application of ANNs, ANFIS and RSM to estimating and optimizing the parameters that affect the yield and cost of biodiesel production. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1502688
  • Ardabili, SF; Najafi, B; Alizamir, M; Mosavi, A; Shamshirband, S.; Rabczuk, T. NOV, 2018. Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters. ENERGIES. 10.3390/en11112889
  • Ardabili, SF; Najafi, B; Shamshirband, S.; Bidgoli, BM; Deo, RC; Chau, KW. MAR 28, 2018. Computational intelligence approach for modeling hydrogen production: a review. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1452296
  • Fallah, SN; Deo, RC; Shojafar, M; Conti, M; Shamshirband, S. MAR, 2018. Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions. ENERGIES. 10.3390/en11030596
  • Fardad, K; Najafi, B; Ardabili, SF; Mosavi, A; Shamshirband, S.; Rabczuk, T. JUN, 2018. Biodegradation of Medicinal Plants Waste in an Anaerobic Digestion Reactor for Biogas Production. CMC-COMPUTERS MATERIALS & CONTINUA. 10.3970/cmc.2018.01803
  • Fotovatikhah, F; Herrera, M; Shamshirband, S.; Chau, KW; Ardabili, SF; Piran, MJ. MAR 26, 2018. Survey of computational intelligence as basis to big flood management: challenges, research directions and future work. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1448896
  • Ghazvinei, PT; Darvishi, HH; Mosavi, A; Yusof, KB; Alizamir, M; Shamshirband, S.; Chau, KW. SEP 28, 2018. Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1526119
  • Ghorbani, MA; Kazempour, R; Chau, KW; Shamshirband, S.; Ghazvinei, PT. SEP 8, 2018. Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1517052
  • Hajikhodaverdikhana, P; Nazari, M; Mohsenizadeh, M; Shamshirband, S.; Chau, KW. SEP 3, 2018. Earthquake prediction with meteorological data by particle filter-based support vector regression. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1512010
  • Imani, MH; Zalzar, S; Mosavi, A; Shamshirband, S. JUN, 2018. Strategic Behavior of Retailers for Risk Reduction and Profit Increment via Distributed Generators and Demand Response Programs. ENERGIES. 10.3390/en11061602
  • Kazemi, SMR; Bidgoli, BM; Shamshirband, S.; Karimi, SM; Ghorbani, MA; Chau, KW; Pour, RK. APR 26, 2018. Novel genetic-based negative correlation learning for estimating soil temperature. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS. 10.1080/19942060.2018.1463871
  • Najafi, B; Ardabili, SF; Mosavi, A; Shamshirband, S.; Rabczuk, T. APR, 2018. An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis. ENERGIES. 10.3390/en11040860
  • ul Amin, R; Inayat, I; Li, AJ; Shamshirband, S.; Rabczuk, T. , 2018. A Bio-Inspired Global Finite Time Tracking Control of Four-Rotor Test Bench System. CMC-COMPUTERS MATERIALS & CONTINUA. 10.32604/cmc.2018.03757
  • Yahya, A; ul Islam, S; Akhunzada, A; Ahmed, G; Shamshirband, S.; Lloret, J. JUN, 2018. Towards Efficient Sink Mobility in Underwater Wireless Sensor Networks. ENERGIES. 10.3390/en11061471
  • Yusoff, Z; Kamsin, A; Shamshirband, S.; Chronopoulos, AT. JAN, 2018. A survey of educational games as interaction design tools for affective learning: Thematic analysis taxonomy. EDUCATION AND INFORMATION TECHNOLOGIES. 10.1007/s10639-017-9610-5
  • Lotfinejad, MM; Hafezi, R; Khanali, M; Hosseini, SS; Mehrpooya, M; Shamshirband, S. MAY, 2018. A Comparative Assessment of Predicting Daily Solar Radiation Using Bat Neural Network (BNN), Generalized Regression Neural Network (GRNN), and Neuro-Fuzzy (NF) System: A Case Study. ENERGIES. 10.3390/en11051188
  • Nazhad, SHH; Shojafar, M; Shamshirband, S.; Conti, M. JAN 10, 2018. An efficient routing protocol for the QoS support of large-scale MANETs. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS. 10.1002/dac.3384
  • Babaee, E; Anuar, NB; Wahab, AWA; Shamshirband, S.; Chronopoulos, AT. , 2017. An Overview of Audio Event Detection Methods from Feature Extraction to Classification. APPLIED ARTIFICIAL INTELLIGENCE. 10.1080/08839514.2018.1430469
  • Bindal, P; Bindal, U; Lin, CW; Abu Kasim, NH; Ramasamy, TSAP; Dabbagh, A; Salwana, E; Shamshirband, S. , 2017. Neuro-fuzzy method for predicting the viability of stem cells treated at different time-concentration conditions. TECHNOLOGY AND HEALTH CARE. 10.3233/THC-170922
  • Nazhad, SHH; Lotfinejad, MM; Danesh, M; ul Amin, R; Shamshirband, S. , 2017. A comparison of the performance of some extreme learning machine empirical models for predicting daily horizontal diffuse solar radiation in a region of southern Iran. INTERNATIONAL JOURNAL OF REMOTE SENSING. 10.1080/01431161.2017.1368098
  • Mojumder, JC; Ong, HC; Chong, WT; Izadyar, N; Shamshirband, S. MAY, 2017. The intelligent forecasting of the performances in PV/T collectors based on soft computing method. RENEWABLE & SUSTAINABLE ENERGY REVIEWS. 10.1016/j.rser.2016.11.225
  • Naranjo, PGV; Pooranian, Z; Shamshirband, S.; Abawajy, JH; Conti, M. DEC, 2017. Fog over Virtualized IoT: New Opportunity for Context-Aware Networked Applications and a Case Study. APPLIED SCIENCES-BASEL. 10.3390/app7121325
  • Faiz, M; Anuar, NB; Wahab, AWA; Shamshirband, S.; Chronopoulos, AT. AUG 15, 2017. Source camera identification: a distributed computing approach using Hadoop. JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS. 10.1186/s13677-017-0088-x
  • Esfahani, JA; Safaei, MR; Goharimanesh, M; de Oliveira, LR; Goodarzi, M; Shamshirband, S.; Bandarra, EP. JUL 15, 2017. Comparison of experimental data, modelling and non-linear regression on transport properties of mineral oil based nanofluids. POWDER TECHNOLOGY. 10.1016/j.powtec.2017.04.034
  • Ghazvinei, PT; Shamshirband, S.; Motamedi, S; Darvishi, HH; Salwana, E. AUG, 2017. Performance investigation of the dam intake physical hydraulic model using Support Vector Machine with a discrete wavelet transform algorithm. COMPUTERS AND ELECTRONICS IN AGRICULTURE. 10.1016/j.compag.2017.05.033
  • Ghorbani, MA; Shamshirband, S.; Haghi, DZ; Azani, A; Bonakdari, H; Ebtehaj, I. SEP, 2017. Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point. SOIL & TILLAGE RESEARCH. 10.1016/j.still.2017.04.009
  • Khan, S; Nazir, B; Khan, IA; Shamshirband, S.; Chronopoulos, AT. JUN 15, 2017. Load balancing in grid computing: Taxonomy, trends and opportunities. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS. 10.1016/j.jnca.2017.02.013
  • Khan, FG; Montrucchio, B; Jan, B; Khan, AN; Jadoon, W; Shamshirband, S.; Chronopoulos, AT; Khan, IA. MAR 10, 2017. An optimized magnetostatic field solver on GPU using open computing language. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. 10.1002/cpe.3981
  • Saberi, A; Motamedi, S; Shamshirband, S.; Kausel, CL; Petkovic, D; Endut, E; Ahmad, SS; Hashim, R; Roy, C. FEB, 2016. Evaluating the legibility of decorative arabic scripts for Sultan Alauddin mosque using an enhanced soft-computing hybrid algorithm. COMPUTERS IN HUMAN BEHAVIOR. 10.1016/j.chb.2015.08.055
  • Gani, A; Siddiqa, A; Shamshirband, S.; Hanum, F. FEB, 2016. A survey on indexing techniques for big data: taxonomy and performance evaluation. KNOWLEDGE AND INFORMATION SYSTEMS. 10.1007/s10115-015-0830-y
  • Moghaddam, TB; Soltani, M; Shahraki, HS; Shamshirband, S.; Noor, NB; Karim, MR. AUG, 2016. The use of SVM-FFA in estimating fatigue life of polyethylene terephthalate modified asphalt mixtures. MEASUREMENT. 10.1016/j.measurement.2016.05.004
  • Mohammadi, K; Khorasanizadeh, H; Shamshirband, S.; Tong, CW. FEB, 2016. Influence of introducing various meteorological parameters to the Angstrom-Prescott model for estimation of global solar radiation. ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-015-4871-z
  • Mohammadi, K; Mostafaeipour, A; Sedaghat, A; Shamshirband, S.; Petkovic, D. FEB, 2016. Application and economic viability of wind turbine installation in Lutak, Iran. ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-015-5054-7
  • Mohammadi, K; Shamshirband, S.; Petkovic, D; Khorasanizadeh, H. JAN, 2016. Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran. RENEWABLE & SUSTAINABLE ENERGY REVIEWS. 10.1016/j.rser.2015.09.028
  • Mohammadian, E; Motamedi, S; Shamshirband, S.; Hashim, R; Junin, R; Roy, C; Azdarpour, A. FEB, 2016. Application of extreme learning machine for prediction of aqueous solubility of carbon dioxide. ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-015-4798-4
  • Naji, S; Shamshirband, S.; Basser, H; Keivani, A; Alengaram, UJ; Jumaat, MZ; Petkovic, D. JAN, 2016. Application of adaptive neuro-fuzzy methodology for estimating building energy consumption. RENEWABLE & SUSTAINABLE ENERGY REVIEWS. 10.1016/j.rser.2015.09.062
  • Piri, J; Mohammadi, K; Shamshirband, S.; Akib, S. FEB, 2016. Assessing the suitability of hybridizing the Cuckoo optimization algorithm with ANN and ANFIS techniques to predict daily evaporation. ENVIRONMENTAL EARTH SCIENCES. 10.1007/s12665-015-5058-3
  • Sajjadi, S; Shamshirband, S.; Alizamir, M; Yee, PL; Mansor, Z; Manaf, AA; Altameem, TA; Mostafaeipour, A. JUN 15, 2016. Extreme learning machine for prediction of heat load in district heating systems. ENERGY AND BUILDINGS. 10.1016/j.enbuild.2016.04.021
  • Shenify, M; Danesh, AS; Gocic, M; Taher, RS; Wahab, AWA; Gani, A; Shamshirband, S.; Petkovic, D. JAN, 2016. Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform. WATER RESOURCES MANAGEMENT. 10.1007/s11269-015-1182-9
  • Gani, A; Mohammadi, K; Shamshirband, S.; Altameem, TA; Petkovic, D; Ch, S. MAY, 2016. A Combined Method to Estimate Wind Speed Distribution Based on Integrating the Support Vector Machine with Firefly Algorithm. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY. 10.1002/ep.12262
  • Nikolic, V; Motamedi, S; Shamshirband, S.; Petkovic, D; Ch, S; Arif, M. MAR, 2016. Extreme learning machine approach for sensorless wind speed estimation. MECHATRONICS. 10.1016/j.mechatronics.2015.04.007
  • Mohammadi, K; Shamshirband, S.; Kamsin, A; Lai, PC; Mansor, Z. SEP, 2016. Identifying the most significant input parameters for predicting global solar radiation using an ANFIS selection procedure. RENEWABLE & SUSTAINABLE ENERGY REVIEWS. 10.1016/j.rser.2016.05.065
  • Zaji, AH; Bonakdari, H; Shamshirband, S. OCT, 2016. Support vector regression for modified oblique side weirs discharge coefficient prediction. FLOW MEASUREMENT AND INSTRUMENTATION. 10.1016/j.flowmeasinst.2016.08.006