Shahab S. Band

发表

Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility

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

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

Annamária R. Várkonyi-Kóczy, Amir Mosavi, Sina Faizollahzadeh Ardabili, 2020 .

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).

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

Pedram Ghamisi, Amirhosein Mosavi, Puhong Duan, 2020 .

A Statistical Model to Compute the Effect of Agile Teams’ Productivity

Irum Inayat, Zulkefli Mansor, Javad Hassannataj Joloudari, 2020 .

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.

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

Irum Inayat, Javad Hassannataj Joloudari, Shahab S. Band, 2021 .

An application of data visualization technique in Arabic literature and linguistics

Mohammad Reza Mahmoudi, Shahab S. Band, Fan Yi, 2021, Digit. Scholarsh. Humanit..

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.

A novel approach to compare the spectral densities of some uncorrelated cyclostationary time series

Amir Mosavi, Shahab S. Band, Mohammad Reza Mahmoudi, 2021, Alexandria Engineering Journal.

Data visualization technique to study the conceptual metaphors in Divan of Hafiz and Bustan of Sa'adi

Zulkefli Mansor, Shahab S. Band, Miaomiao Li, 2021, Digit. Scholarsh. Humanit..

A Statistical Approach to Model the H-Index Based on the Total Number of Citations and the Duration from the Publishing of the First Article

Zulkefli Mansor, Mohammad Reza Mahmoudi, Marzieh Rahmati, 2021, Complex..

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.

Estimation of stress-strength reliability R=P(X>Y) based on Weibull record data in the presence of inter-record times

Amir Mosavi, Abbas Pak, Shahab S. Band, 2021, Alexandria Engineering Journal.

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.

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.

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

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

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

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

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.

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

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

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..

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.

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

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

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.

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.

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 .

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

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

Subjective Answers Evaluation Using Machine Learning and Natural Language Processing

Natalia Kryvinska, Abdul Rehman Javed, Shahab S. Band, 2021, IEEE Access.

A study on the use of UAV images to improve the separation accuracy of agricultural land areas

Shahab S. Band, Hamid Reza Ghafarian Malamiri, Saeed Shojaei, 2021, Comput. Electron. Agric..

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.

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.

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

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

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).

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.

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.

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

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

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.

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.

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.

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 .

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 .

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.

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.

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.

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.

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.

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

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

Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models

Shahab S. Band, K. Chau, A. Mosavi, 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.

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.

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

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

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.

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.

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.

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.

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.

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.

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

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

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..

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..

Estimation and interpretation of equilibrium scour depth around circular bridge piers by using optimized XGBoost and SHAP

Shahab S. Band, E. Heggy, S. Bateni, 2023, Engineering Applications of Computational Fluid Mechanics.

Machine Learning for Prediction of Energy in Wheat Production

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

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..

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.

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..

ECG signals-based security and steganography approaches in WBANs: A comprehensive survey and taxonomy

Sultan Noman Qasem, Shahab S. Band, B. Sayed, 2023, Sustain. Comput. Informatics Syst..

Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM.

Shahab S. Band, Rasoul Ameri, S. Khorsandroo, 2023, Ecotoxicology and environmental safety.

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Urban Retail Systems: Studying the Interactional Activities and Social Sustainability

Shahab S. Band, A. Mosavi, F. Aram, 2020 .

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

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

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.

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.

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.

Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine

Shahab S. Band, K. Chau, Narjes Nabipour, 2020, Energy Science & Engineering.

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.

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

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

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

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

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.

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.

Modeling of the Sintered Density in Cu-Al Alloy Using Machine Learning Approaches

Shahab S. Band, Mohammadhadi Shateri, Saleh Asnaashari, 2023, ACS omega.

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.

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.

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.

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

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

Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River

Sultan Noman Qasem, Shahab S. Band, Rasoul Ameri, 2024, Engineering Applications of Computational Fluid Mechanics.

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.

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

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