S. Band

发表

Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit

Shahab S. Band, K. Chau, A. Mosavi, 2022, Engineering Applications of Computational Fluid Mechanics.

Comparative study of multilayer perceptron-stochastic gradient descent and gradient boosted trees for predicting daily suspended sediment load: The case study of the Mississippi River, U.S.

A. Mosavi, S. Band, Sadra Shadkani, 2020 .

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering.

Javad Hassannataj Joloudari, M. Sookhak, Sadiq Hussain, 2022, Mathematical biosciences and engineering : MBE.

Data Mining Algorithms Based on an Optimization Model

Noorbakhsh Amiri Golilarz, A. Mosavi, S. Band, 2020 .

Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries

Sultan Noman Qasem, Shahab S. Band, M. Heydari, 2020, Alexandria Engineering Journal.

How parks provide thermal comfort perception in the metropolitan cores; a case study in Madrid Mediterranean climatic zone

A. Mosavi, Ester Higueras Garcia, Ebrahim Solgi, 2020 .

Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/liquid paraffin mixture properties

Seyed Amin Bagherzadeh, Shahab S. Band, K. Chau, 2022, Engineering Applications of Computational Fluid Mechanics.

Investigation on behaviors of acoustoelastic cavities using a novel reduced finite element–dual reciprocity boundary element formulation

Shahab S. Band, K. Chau, H. Haddadpour, 2021, Engineering Applications of Computational Fluid Mechanics.

Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation method.

Shahab S. Band, T. Blaschke, Viet-Ha Nhu, 2020, The Science of the total environment.

Solar radiation prediction using improved soft computing models for semi-arid, slightly-arid and humid climates

K. Chau, M. Ehteram, S. Band, 2022, Alexandria Engineering Journal.

Study on IoT for SARS-CoV-2 with healthcare: present and future perspective.

Shahab S. Band, Md. Razaul Karim, M. Sookhak, 2021, Mathematical biosciences and engineering : MBE.

Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity

S. Band, H. Alinejad-Rokny, A. Beheshti, 2022, Scientific reports.

Numerical investigation of magnetic field on forced convection heat transfer and entropy generation in a microchannel with trapezoidal ribs

Shahab S. Band, K. Chau, A. Mosavi, 2021, Engineering Applications of Computational Fluid Mechanics.

Efficacy of applying discontinuous boundary condition on the heat transfer and entropy generation through a slip microchannel equipped with nanofluid

K. Chau, Amir Mosavi, M. Jahangiri, 2022, Engineering Applications of Computational Fluid Mechanics.

Using computational-intelligence algorithms and remote sensing data to optimize the locations of check dams to control sediment and runoff in Kandolus watershed, Mazandaran, Iran

Shahab S. Band, S. Pal, Saeid Janizadeh, 2022, Geocarto International.

A Neural Network and Optimization Based Lung Cancer Detection System in CT Images

S. Band, Chapala Venkatesh, K. Ramana, 2022, Frontiers in Public Health.

SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

Md. Razaul Karim, A. Anwar, S. Band, 2021, Cluster computing.

Hybrid Feature Fusion and Machine Learning Approaches for Melanoma Skin Cancer Detection

S. Band, A. Beheshti, M. Rahman, 2022 .

Hybrid HCNN-KNN Model Enhances Age Estimation Accuracy in Orthopantomography

Fatemeh Sharifonnasabi, Jacob John, S. Band, 2022, Frontiers in Public Health.

Machine Learning for Prediction of Energy in Wheat Production

Shahab S. Band, A. Mostafaeipour, A. Mosavi, 2020, Agriculture.

Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models

Shahab S. Band, K. Chau, Senlin Zhu, 2022, Engineering Applications of Computational Fluid Mechanics.

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis

Arthur W. Chang, Shahab S. Band, M. Moslehpour, 2022, Frontiers in Public Health.

Smart Structural Health Monitoring of Flexible Pavements Using Machine Learning Methods

A. Mosavi, S. Band, U. Reuter, 2020, Coatings.

Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature

Shahab S. Band, K. Chau, Amir Mosavi, 2022, Engineering Applications of Computational Fluid Mechanics.

Colonial competitive evolutionary Rao algorithm for optimal engineering design

Amir Seyed Danesh, S. Ardabili, S. Band, 2022, Alexandria Engineering Journal.

Circulatory System Based Optimization (CSBO): an expert multilevel biologically inspired meta-heuristic algorithm

Shahab S. Band, K. Chau, M. Ghasemi, 2022, Engineering Applications of Computational Fluid Mechanics.

Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection

S. Band, P. Tiwari, M. Rostami, 2022, Knowl. Based Syst..

Data science in economics: comprehensive review of advanced machine learning and deep learning methods

A. Gandomi, João Gama, Pedram Ghamisi, 2020, Mathematics.

Evaluating the E ﬃ ciency of Di ﬀ erent Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS / PALSAR Data

Shahab S. Band, Kaustuv Mukherjee, Saeid Janizadeh, 2020 .

Accurate brain tumor detection using deep convolutional neural network

Mostofa Kamal Nasir, Shahab S. Band, Md. Saikat Islam Khan, 2022, Computational and structural biotechnology journal.

How Parks Provide Thermal Comfort Perception in the Metropolitan Cores; A Case Study in Madrid Mediterranean Climatic Zone

Shahab S. Band, A. Mosavi, Ebrahim Solgi, 2020, SSRN Electronic Journal.

When Smart Cities Get Smarter via Machine Learning: An In-depth Literature Review

Shahab S. Band, M. Sookhak, Hao-Ting Pai, 2022, IEEE Access.

On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives

Shahab S. Band, S. Band, Anichur Rahman, 2022, Future Gener. Comput. Syst..

Knowledge-based rigorous machine learning techniques to predict the deliverability of underground natural gas storage sites for contributing to sustainable development goals

Ning Wei, S. Band, H. Vo Thanh, 2022, Energy Reports.

Wormhole attack mitigation strategies and their impact on wireless sensor network performance: A literature survey

S. Elnaffar, S. Band, A. Ullah, 2022, Int. J. Commun. Syst..

An efficient hardware supported and parallelization architecture for intelligent systems to overcome speculative overheads

Shahab S. Band, S. Band, W. Alhalabi, 2022, Int. J. Intell. Syst..

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

Shahab S. Band, Md. Saikat Islam Khan, Md. Rejwanul Hossain, 2022, Cluster Computing.

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering.

Roohallah Alizadehsani, Hamid Alinejad-Rokny, Shahab Shamshirband, 2020, Mathematical biosciences and engineering : MBE.

Observer–Based Control for a New Stochastic Maximum Power Point tracking for Photovoltaic Systems With Networked Control System

Hari Mohan Pandey, M. S. Aslam, S. Band, 2022, IEEE Transactions on Fuzzy Systems.

An overview of violence detection techniques: current challenges and future directions

Syed Muhammad Mohsin, Shahab S. Band, S. Band, 2022, Artificial Intelligence Review.

Solar radiation estimation in different climates with meteorological variables using Bayesian model averaging and new soft computing models

Majdi M. Mafarja, A. Mosavi, Huan-Ming Chuang, 2021, Energy Reports.

Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites

Amir Abbas Kazemzadeh Farizhandi, Amir Mosavi, S. Shojaei, 2021, Scientific Reports.

Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow

Shahab S. Band, K. Chau, S. Band, 2022, Engineering Applications of Computational Fluid Mechanics.

Enhancing Data Security for Cloud Computing Applications through Distributed Blockchain-based SDN Architecture in IoT Networks

Md. Razaul Karim, S. Elnaffar, S. Band, 2022, ArXiv.

Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT

S. Band, Anichur Rahman, M. Islam, 2022, Digit. Commun. Networks.

Comparison of the efficacy of particle swarm optimization and stochastic gradient descent algorithms on multi-layer perceptron model to estimate longitudinal dispersion coefficients in natural streams

Shahab S. Band, K. Chau, S. Band, 2022, Engineering Applications of Computational Fluid Mechanics.

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

M. Eftekhari, M. Najafzadeh, Davood Hajinezhad, 2022, Computers in Biology and Medicine.

A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences.

Mohanad A. Deif, Rania E. Hammam, S. Band, 2021, Mathematical biosciences and engineering : MBE.

An integrated machine learning, noise suppression, and population-based algorithm to improve total dissolved solids prediction

A. Mosavi, S. Band, Mohammad Rezaie-Balf, 2021, Engineering Applications of Computational Fluid Mechanics.

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration

Saeid Janizadeh, Subodh Chandra Pal, Manouchehr Shokri, 2020, Sensors.

Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment

Thomas Blaschke, Thomas Blaschke, Biswajeet Pradhan, 2020, Remote. Sens..

Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling

Shahab S. Band, David A. Wood, N. Mohamadian, 2022, Marine and Petroleum Geology.

Applying different resampling strategies in machine learning models to predict head-cut gully erosion susceptibility

Amir Mosavi, Saeid Janizadeh, Subodh Chandra Pal, 2021 .

Intercept the cloud network from Brute Force and DDoS attacks via Intrusion Detection and Prevention System

Amir Mosavi, Shahab S. Band, Muhammad Nadeem, 2021, IEEE Access.

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems

Celestine Iwendi, Syed Muhammad Mohsin, Shahab S. Band, 2021, Computer Communications.

CovidMulti-Net: A Parallel-Dilated Multi Scale Feature Fusion Architecture for the Identification of COVID-19 Cases from Chest X-ray Images

Shahab S. Band, M. I. Khan, Md. Razaul Karim, 2021, medRxiv.

Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran

Wei Chen, Thomas Blaschke, Shahab S. Band, 2020, Remote. Sens..

A Novel Approach for Estimation of Sediment Load in Dam Reservoir With Hybrid Intelligent Algorithms

Shahab S. Band, K. Chau, A. Mosavi, 2022, Frontiers in Environmental Science.

Using soft computing and machine learning algorithms to predict the discharge coefficient of curved labyrinth overflows

Hojat Karami, Amir Mosavi, Kwok-Wing Chau, 2021, Engineering Applications of Computational Fluid Mechanics.

Forecast of rainfall distribution based on fixed sliding window long short-term memory

Shahab S. Band, S. M. Bateni, K. Chau, 2022, Engineering Applications of Computational Fluid Mechanics.

Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression

Hojat Karami, Amir Mosavi, Kwok-Wing Chau, 2021, Engineering Applications of Computational Fluid Mechanics.

Factor analysis approach to classify COVID-19 datasets in several regions

Shahab S. Band, D. Baleanu, A. Mosavi, 2021, Results in Physics.

VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis

A. Beheshti, A. Dehzangi, Khadijeh Jahanian, 2021, Genes.

A novel long-term water absorption and thickness swelling deep learning forecast method for corn husk fiber-polypropylene composite

Shahab S. Band, S. Band, E. Yousefi, 2022, Case Studies in Construction Materials.

A machine learning approach for active/reactive power control of grid-connected doubly-fed induction generators

Jafar Tavoosi, Ardashir Mohammadzadeh, Morad Bagherzadeh Kasmani, 2021, Ain Shams Engineering Journal.

Robust computational approach to determine the safe mud weight window using well-log data from a large gas reservoir

Shahab S. Band, David A. Wood, Mehdi Ahmadi Alvar, 2022, Marine and Petroleum Geology.

Estimation of solar radiation by joint application of phase space reconstruction and a hybrid neural network model

Shahab S. Band, S. Band, M. Kashani, 2022, Theoretical and Applied Climatology.

A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems

Amir Mosavi, Hamza Turabieh, Majdi M. Mafarja, 2021, IEEE Access.

A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads

M. Khooban, Amir Mosavi, S. Band, 2022, IEEE Access.

A Novel Fractional-Order Multiple-Model Type-3 Fuzzy Control for Nonlinear Systems with Unmodeled Dynamics

Ardashir Mohammadzadeh, Shahab S. Band, Amirhosein Mosavi, 2021, International Journal of Fuzzy Systems.

Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed

Amir Mosavi, M. Moslehpour, S. Ardabili, 2022, Energy Reports.

Reliability assessment of compressive and splitting tensile strength prediction of roller compacted concrete pavement: introducing MARS-GOA-MCS

A. Mosavi, N. S. Hamzehkolaei, S. Band, 2021, International Journal of Pavement Engineering.

Voltage Regulation for Photovoltaics-Battery-Fuel Systems Using Adaptive Group Method of Data Handling Neural Networks (GMDH-NN)

Shahab S. Band, Ardashir Mohammadzadeh, Amirhosein Mosavi, 2020, IEEE Access.

Designing a committee of machines for modeling viscosity of water-based nanofluids

Shahab S. Band, K. Chau, A. Naseri, 2021, Engineering Applications of Computational Fluid Mechanics.

Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility

Thomas Blaschke, Asish Saha, Subodh Chandra Pal, 2020, Remote. Sens..

Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

Asish Saha, Amirhosein Mosavi, Shahab S. Band, 2020, Remote. Sens..

Role of gradients and vortexes on suitable location of discrete heat sources on a sinusoidal-wall microchannel

Shahab S. Band, K. Chau, A. Mosavi, 2021, Engineering Applications of Computational Fluid Mechanics.

Time series-based groundwater level forecasting using gated recurrent unit deep neural networks

Shahab S. Band, K. Chau, Hao-Ting Pai, 2022, Engineering Applications of Computational Fluid Mechanics.

Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets: Generic incremental transfer learning approach and multidisciplinary studies

Kwok Tai Chui, Shahab S. Band, R. W. Liu, 2023, Journal of Innovation & Knowledge.

Different scenarios of glycerin conversion to combustible products and their effects on compression ignition engine as fuel additive: a review

Shahab S. Band, K. Chau, A. Mosavi, 2021, Engineering Applications of Computational Fluid Mechanics.

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Ardashir Mohammadzadeh, Sakthivel Rathinasamy, Shahab S. Band, 2021, Energy Reports.

IoT and Wireless Sensor Networking-based Effluent Treatment Plant Monitoring System

Mostofa Kamal Nasir, Md. Saikat Islam Khan, A. Mosavi, 2021, Acta Polytechnica Hungarica.

Hybrid model of support vector regression and fruitfly optimization algorithm for predicting ski-jump spillway scour geometry

Hojat Karami, Amir Mosavi, Shahab S. Band, 2021, Engineering Applications of Computational Fluid Mechanics.

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images

S. Band, S. Bourouis, S. Agrawal, 2022, Frontiers in Oncology.

The value co-creation behavior in learning communities: Comparing conventional learning and e-learning.

Mehdi Sookhak, Huan-Ming Chuang, Shahab S Band, 2021, Mathematical biosciences and engineering : MBE.

Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity

Hamid Alinejad-Rokny, Anichur Rahman, Tanoy Debnath, 2021, Scientific Reports.

Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction

Mohammad Al Rawajbeh, Shahab S. Band, A. Mosavi, 2021, Frontiers in Public Health.

Combination of Group Method of Data Handling (GMDH) and Computational Fluid Dynamics (CFD) for Prediction of Velocity in Channel Intake

Hojat Karami, Ibrahim Al-Shourbaji, Shahab S. Band, 2020 .

Assessment of Dynamic Swarm Heterogeneous Clustering in Cognitive Radio Sensor Networks

Edeh Michael Onyema, Amir Mosavi, S. Band, 2022, Wireless Communications and Mobile Computing.

Coronavirus Disease (COVID-19) Global Prediction Using Hybrid Artificial Intelligence Method of ANN Trained with Grey Wolf Optimizer

Shahab S. Band, A. Várkonyi-Kóczy, S. Ardabili, 2020, 2020 IEEE 3rd International Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE).

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

Asish Saha, Amirhosein Mosavi, Saeid Janizadeh, 2020, Sensors.

A Statistical Model to Assess the Team’s Productivity in Agile Software Teams

Zulkefli Mansor, Irum Inayat, Taghi Javdani Gandomani, 2020, 2021 IEEE 4th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE).

Reinforcing Communication on the Internet of Aerial Vehicles

Muhammad Abul Hassan, A. R. Javed, S. Band, 2022, IEEE Transactions on Green Communications and Networking.

Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility

Saeid Janizadeh, S. Band, Ju-Hun Im, 2023, Geomatics, Natural Hazards and Risk.

Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data

Shahab S. Band, A. Mosavi, Kaustuv Mukherjee, 2020 .

Robust stability analysis for class of Takagi-Sugeno (T-S) fuzzy with stochastic process for sustainable hypersonic vehicles

Hari Mohan Pandey, M. S. Aslam, S. Band, 2023, Inf. Sci..

Enhancement of Neural Networks Model’s Predictions of Currencies Exchange Rates by Phase Space Reconstruction and Harris Hawks’ Optimization

E. Shabani, S. Band, Shahryar Ghorbani, 2023, Computational Economics.

Machine Learning and Internet of Medical Things for Handling COVID-19: Meta-Analysis

Shahab S. Band, Amir Mosavi, S. Ardabili, 2022 .

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

Amir Mosavi, Antonio Montieri, Antonio Pescape, 2021, IEEE Access.

Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future directions

Shahab S. Band, M. Sookhak, S. Band, 2023, International Journal of Communication Systems.

Fractional-Order Fuzzy Control Approach for Photovoltaic/Battery Systems under Unknown Dynamics, Variable Irradiation and Temperature

Sultan Noman Qasem, Shahab S. Band, Manouchehr Shokri, 2020 .

Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations

Amir Mosavi, Hamza Turabieh, Majdi M. Mafarja, 2020, IEEE Access.

A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration

Shahab S. Band, Dinesh Kr. Vishwakarma, S. Band, 2023, Arabian Journal of Geosciences.

SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

Md. Razaul Karim, A. Anwar, S. Band, 2021, Cluster Computing.

Use of regional computing to minimize the social big data effects

S. Band, C. Iwendi, Afzal Badshah, 2022, Comput. Ind. Eng..

Introducing an evolutionary-decomposition model for prediction of municipal solid waste flow: application of intrinsic time-scale decomposition algorithm

Shahab S. Band, K. Chau, M. Abbasi, 2021, Engineering Applications of Computational Fluid Mechanics.

Sensitivity analysis of wheat yield based on growing degree days in different growth stages: Application of machine learning approach enhanced by grey systems theory

Shahab S. Band, Saman Maroufpoor, S. Band, 2023, Comput. Electron. Agric..

Prediction of Drop Relative Energy Dissipation Based on Harris Hawks Optimization Algorithm

S. Band, M. Kashani, R. Daneshfaraz, 2022, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

A Lightweight Genetic Based Algorithm for Data Security in Wireless Body Area Networks

Amir Mosavi, Shahab S. Band, Humaira Ashraf, 2020, IEEE Access.

Blockchain-SDN-Based Energy-Aware and Distributed Secure Architecture for IoT in Smart Cities

Shaoen Wu, Mehdi Sookhak, Mostofa Kamal Nasir, 2022, IEEE Internet of Things Journal.

Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components

Ahmed El-Shafie, Guoxi Liang, Ali Najah Ahmed, 2021 .

A Fault-Tolerant Cascaded Switched-Capacitor Multilevel Inverter for Domestic Applications in Smart Grids

Hao-Ting Pai, S. Band, Jiefeng Hu, 2022, IEEE Access.

A decomposition and multi-objective evolutionary optimization model for suspended sediment load prediction in rivers

Majdi M. Mafarja, Shahab S. Band, K. Chau, 2021, Engineering Applications of Computational Fluid Mechanics.

Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction

Fatih Ecer, Sina Ardabili, Amir Mosavi, 2020, Entropy.

Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling

Amir Mosavi, Shahab S. Band, Javad Behmanesh, 2020 .

A delayed Takagi-Sugeno fuzzy control approach with uncertain measurements using an extended sliding mode observer

Hari Mohan Pandey, S. Band, Muhammad Shamrooz Aslam, 2023, Inf. Sci..

VCNet: Hybrid Deep Learning Model for Detection and Classification of Lung Carcinoma Using Chest Radiographs

Arthur W. Chang, Shahab S. Band, Shweta Agrawal, 2022, Frontiers in Public Health.

Diffusion analysis with high and low concentration regions by the finite difference method, the adaptive network-based fuzzy inference system, and the bilayered neural network method

Majdi M. Mafarja, K. Chau, A. Mosavi, 2021, Engineering Applications of Computational Fluid Mechanics.

Optimal Coordination of PSS and SSSC Controllers in Power System Using Ant Colony Optimization Algorithm

Ilhami Colak, Celestine Iwendi, Mehrdad Ahmadi Kamarposhti, 2021, J. Circuits Syst. Comput..

Impact of quarantine on fractional order dynamical model of Covid-19

S. Band, Shubham Mahajan, A. Pandit, 2022, Comput. Biol. Medicine.

Modeling of carbon dioxide solubility in ionic liquids based on group method of data handling

Shahab S. Band, A. Mosavi, S. Band, 2020, Engineering Applications of Computational Fluid Mechanics.

Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios

Shahab S. Band, Saeid Janizadeh, A. Saha, 2023, Gondwana Research.

An integrated GIS-based multivariate adaptive regression splines-cat swarm optimization for improving the accuracy of wildfire susceptibility mapping

S. Band, Rafid Sagban, Hai Tao, 2023, Geocarto International.

DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS

Amir Mosavi, Antonio Pescape, Shahab S. Band, 2021, IEEE Access.

Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the contiguous United States

M. Valipour, S. Band, S. Bateni, 2023, Agricultural Water Management.

Optimization of performance and emission of compression ignition engine fueled with propylene glycol and biodiesel–diesel blends using artificial intelligence method of ANN-GA-RSM

A. Mosavi, B. Najafi, S. Ardabili, 2021, Engineering Applications of Computational Fluid Mechanics.

Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm

Hao-Ting Pai, M. Moslehpour, S. Band, 2023, Water Resources Management.

Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation

Amir Mosavi, Mohammad Taghi Sattari, Ramendra Prasad, 2021 .

Multi-scale local-global architecture for person re-identification

Shahab S. Band, S. Band, P. Tiwari, 2022, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review

Said Elnaffar, Ely Salwana, Amir Mosavi, 2021, IEEE Access.

Calculating Filament Feed in the Fused Deposition Modeling Process to Correctly Print Continuous Fiber Composites in Curved Paths

A. Mosavi, B. Akhoundi, S. Band, 2020, Materials.

An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology

Syed Muhammad Mohsin, S. Band, P. Tiwari, 2023, IEEE Systems Journal.

Blockchain-SDN based Energy Optimized and Distributed Secure Architecture for IoTs in Smart Cities

Amirhosein Mosavi, Shahab S. Band, Mostofa Kamal Nasir, 2020 .

Evaluating the potential of offshore wind energy in the Gulf of Oman using the MENA-CORDEX wind speed data simulations

K. Chau, A. Mosavi, S. Band, 2021, Engineering Applications of Computational Fluid Mechanics.

Comparison of machine learning techniques for predicting porosity of chalk

K. Chau, S. Band, S. Samadianfard, 2021, Journal of Petroleum Science and Engineering.

Design and Simulation of Adaptive PID Controller Based on Fuzzy Q-Learning Algorithm for a BLDC Motor

Amir Mosavi, Shahab S. Band, Reza Rouhi Ardeshiri, 2020 .

Optimal Location of FACTS Devices in Order to Simultaneously Improving Transmission Losses and Stability Margin Using Artificial Bee Colony Algorithm

Ilhami Colak, Kei Eguchi, Hassan Shokouhandeh, 2021, IEEE Access.

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

M. Eftekhari, M. Najafzadeh, Davood Hajinezhad, 2022 .

Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning pdf

Amir Mosavi, Mohammad GhasemiGol, Javad Hassannataj Joloudari, 2020, IEEE Access.

Evaluation of Time Series Models in Simulating Different Monthly Scales of Drought Index for Improving Their Forecast Accuracy

K. Chau, A. Mosavi, S. Band, 2022, Frontiers in Earth Science.