Dr. Ripon Kumar Chakrabortty
Dr. Ripon Kumar Chakrabortty
Senior Lecturer on Decision Analytics and System Engineering, UNSW Canberra
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Cited by
Cited by
A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection
M Mathew, RK Chakrabortty, MJ Ryan
Engineering Applications of Artificial Intelligence 96, 103988, 2020
Improved multi-operator differential evolution algorithm for solving unconstrained problems
KM Sallam, SM Elsayed, RK Chakrabortty, MJ Ryan
2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020
A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: A case study
M Abdel-Basset, A Gamal, RK Chakrabortty, M Ryan
Journal of Cleaner Production 280, 124462, 2021
A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy
M Abdel-Basset, R Mohamed, M Elhoseny, RK Chakrabortty, M Ryan
IEEE Access, 2020
A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management
H Shahid, SU Islam, R Chakrabortty, M Ryan, DK Saha, MH Ahamed, ...
IEEE Access, 2021
Parameter estimation of photovoltaic models using an improved marine predators algorithm
M Abdel-Basset, D El-Shahat, RK Chakrabortty, M Ryan
Energy Conversion and Management 227, 113491, 2021
Graph neural network: A comprehensive review on non-euclidean space
NA Asif, Y Sarker, RK Chakrabortty, MJ Ryan, MH Ahamed, DK Saha, ...
Ieee Access 9, 60588-60606, 2021
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection
Abdel-Basset M, V Chang, H Hossam, R Chakrabortty, M Ryan
Knowledge-Based Systems 212 (106647), 2021
Resource constrained project scheduling with uncertain activity durations
RK Chakrabortty, RA Sarker, DL Essam
Computers & Industrial Engineering 112, 537-550, 2017
Deep-IFS: Intrusion detection approach for industrial internet of things traffic in fog environment
M Abdel-Basset, V Chang, H Hawash, RK Chakrabortty, M Ryan
IEEE Transactions on Industrial Informatics 17 (11), 7704-7715, 2020
Solar photovoltaic parameter estimation using an improved equilibrium optimizer
M Abdel-Basset, R Mohamed, S Mirjalili, RK Chakrabortty, MJ Ryan
Solar Energy 209, 694-708, 2020
Very Short-term Forecasting of Wind Power Generation using Hybrid Deep Learning Model
MA Hossain, R Chakrabortty, S El Sawah, M Ryan
Journal of Cleaner Production, 2021
Selection of an optimal maintenance strategy under uncertain conditions: An interval type-2 fuzzy AHP-TOPSIS method
M Mathew, RK Chakrabortty, MJ Ryan
IEEE Transactions on Engineering Management 69 (4), 1121-1134, 2020
Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review
A Niloy, S Anika, R Chakrabortty, M Ryan, F Badal, Z Tasneem, ...
IEEE Access, 2021
ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications
M Abdel-Basset, H Hawash, RK Chakrabortty, M Ryan, M Elhoseny, ...
IEEE Internet of Things Journal, 2020
Multi-mode resource constrained project scheduling under resource disruptions
RK Chakrabortty, RA Sarker, DL Essam
Computers & Chemical Engineering 88, 13-29, 2016
An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations
M Abdel-Basset, R Mohamed, R Chakrabortty, K Sallam, M Ryan
Energy Conversion and Management 227 (113614), 2021
An automated task scheduling model using non-dominated sorting genetic algorithm II for fog-cloud systems
IM Ali, KM Sallam, N Moustafa, R Chakraborty, M Ryan, KKR Choo
IEEE Transactions on Cloud Computing 10 (4), 2294-2308, 2020
Evaluation of Sustainable Hydrogen Production Options Using an Advanced Hybrid MCDM Approach: A Case Study
M Abdul-Basset, G Abduallah, R CHakrabortty, M Ryan
International Journal of Hydrogen Energy, 2021
Semi-supervised Spatio-Temporal Deep Learning for Intrusions Detection in IoT Networks
M Abdel-Basset, H Hossam, RK Chakrabortty, MJ Ryan
IEEE Internet of Things Journal, 2021
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