Author:Shahab S. Band

Publications
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 Qike Shao, Sina Ardabili, Majdi Mafarja, Hamza Turabieh, Qian Zhang, Shahab S. Band, Kwok-Wing Chau and Amir Mosavi EasyChair Preprint no. 7764
Comparative Analysis of the Spectral Densities of Independent Cyclostationary Processes Mohammad Reza Mahmoudi, Maria Rayisyan, Reza Vaghefi, Shahab S. Band and Amir Mosavi EasyChair Preprint no. 7763
Modeling the H-Index Based on the Total Number of Citations and the Duration from the First Publication Mohammad Reza Mahmoudi, Marzieh Rahmati, Zulkefli Mansor, Amir Mosavi and Shahab S. Band EasyChair Preprint no. 7762
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit Weibin Chen, Danial Sharifrazi, Guoxi Liang, Shahab S. Band, Kwok Wing Chau and Amir Mosavi EasyChair Preprint no. 7761
Integration of Neural Network and Fuzzy Logic Decision Making Compared with Bilayered Neural Network in the Simulation of Daily Dew Point Temperature Guodao Zhang, Shahab S. Band, Sina Ardabili, Kwok-Wing Chau and Amir Mosavi EasyChair Preprint no. 7759
IoT and WSN based Effluent Treatment Plant Monitoring System Md. Saikat Islam Khan, Anichur Rahman, Sifatul Islam, Mostofa Kamal Nasir, Shahab S. Band and Amir Mosavi EasyChair Preprint no. 5023
Predicting COVID-19 (Coronavirus Disease) Outbreak Dynamics Using SIR-based Models: Comparative Analysis of SIRD and Weibull-SIRD Ahmad Sedaghat, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4607
Coronavirus (COVID-19) Outbreak Prediction Using Epidemiological Models of Richards Gompertz Logistic Ratkowsky and SIRD Ahmad Sedaghat, Seyed Amir Abbas Oloomi, Mahdi Ashtian Malayer, Shahab S. Band, Nima Rezaei, Amir Mosavi and László Nádai EasyChair Preprint no. 4601
Modeling and Sensitivity Analysis of Coronavirus Disease (COVID-19) Outbreak Prediction Ahmad Sedaghat, Seyed Amir Abbas Oloomi, Mahdi Ashtian Malayer, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4597
COVID-19 (Coronavirus Disease) Outbreak Prediction Using a Susceptible-Exposed-Symptomatic Infected-Recovered-Super Spreaders-Asymptomatic Infected-Deceased-Critical (SEIR-PADC) Dynamic Model Ahmad Sedaghat, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4593
Predicting Trends of Coronavirus Disease (COVID19) Using SIRD and Gaussian-SIRD Models Ahmad Sedaghat, Shahab S. Band, Amir Mosavi and László Nádai EasyChair Preprint no. 4587

Keyphrases

ANFIS², Artificial Intelligence, bilayer neural network, Bilayered neural network, citation, comparison, compartmental model², coronavirus disease⁵, COVID-19⁵, Cyclostationary, Deep Convolutional Neural Network, deep learning, dew point, diffusion of molecules, diffusion phenomena, Discharge prediction, duration, dynamics, epidemiological model⁵, Gated Recurrent Unit, Gaussian-SIRD model, GSM module, Gulf Cooperation Council, h-index, hypothesis testing, IoT, machine learning³, modelling, Outbreak, outbreak model⁴, Periodically Correlated, prediction, real-time application, Regression, relationship, SARS-CoV-2, SEIR-PADC model, sensor, SIR model, SIRD model², spectral density, Streamlined weirs, water quality, Weibull, WQI, WSN.