Ripon K. Chakrabortty

Orcid: 0000-0002-7373-0149

According to our database1, Ripon K. Chakrabortty authored at least 116 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach.
Simul. Model. Pract. Theory, January, 2024

2023
An integrated differential evolution algorithm for reconfigurable manufacturing systems.
Appl. Soft Comput., December, 2023

AccessChain: An access control framework to protect data access in blockchain enabled supply chain.
Future Gener. Comput. Syst., November, 2023

Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction.
IEEE Trans. Ind. Informatics, October, 2023

A multi-criteria decision-making tool for the screening of Asperger syndrome.
Multim. Tools Appl., September, 2023

Evaluating supply chain network resilience considering disruption propagation.
Comput. Ind. Eng., September, 2023

A recovery planning model for online business operations under the COVID-19 outbreak.
Int. J. Prod. Res., April, 2023

Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0.
IEEE Trans. Ind. Informatics, March, 2023

A multi-objective Bi-level leader-follower joint optimization for concurrent design of product family and assembly system.
Comput. Ind. Eng., March, 2023

Robust Influence Maximization Under Both Aleatory and Epistemic Uncertainty.
ACM Trans. Knowl. Discov. Data, 2023

An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions.
Knowl. Based Syst., 2023

Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications.
J. Ambient Intell. Humaniz. Comput., 2023

Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions.
Expert Syst. Appl., 2023

Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time.
Eng. Appl. Artif. Intell., 2023

Predicting Energy Consumption of Battery-Operated Electric Vehicles: A Comparative Performance Assessment.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

2022
Multiobjective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices Online.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method.
IEEE Trans. Engineering Management, 2022

A Risk Assessment Framework for Scheduling Projects With Resource and Duration Uncertainties.
IEEE Trans. Engineering Management, 2022

Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic Approaches.
IEEE Trans. Cybern., 2022

An Automated Task Scheduling Model Using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems.
IEEE Trans. Cloud Comput., 2022

A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation-Optimization Approach.
Reliab. Eng. Syst. Saf., 2022

Correction to: An improved binary sparrow search algorithm for feature selection in data classification.
Neural Comput. Appl., 2022

An improved binary sparrow search algorithm for feature selection in data classification.
Neural Comput. Appl., 2022

Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chain.
Memetic Comput., 2022

Explainability in supply chain operational risk management: A systematic literature review.
Knowl. Based Syst., 2022

Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation.
Knowl. Based Syst., 2022

A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems.
Knowl. Based Syst., 2022

An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions.
Knowl. Based Syst., 2022

An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems.
J. Intell. Manuf., 2022

An MPPT method using hybrid radial movement optimization with teaching-learning based optimization under fluctuating atmospheric conditions.
J. Intell. Fuzzy Syst., 2022

Reactive power compensation for grid by Packed-U-Cell inverter using model predictive control strategy with intelligent multi-objective scheme.
J. Intell. Fuzzy Syst., 2022

Poly-linear regression with augmented long short term memory neural network: Predicting time series data.
Inf. Sci., 2022

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications.
IEEE Internet Things J., 2022

Energy-efficient project scheduling with supplier selection in manufacturing projects.
Expert Syst. Appl., 2022

Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic.
Expert Syst. Appl., 2022

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images.
Expert Syst. Appl., 2022

A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks.
Expert Syst. Appl., 2022

Multi-operator immune genetic algorithm for project scheduling with discounted cash flows.
Expert Syst. Appl., 2022

Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder.
CoRR, 2022

Inventory decisions on the transportation system and carbon emissions under COVID-19 effects: A sensitivity analysis.
Comput. Ind. Eng., 2022

Manufacturing project scheduling considering human factors to minimize total cost and carbon footprints.
Appl. Soft Comput., 2022

Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems.
Appl. Soft Comput., 2022

Towards a Scalable Permissioned Blockchain Framework for Supply Chain Management.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation.
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

Surrogate-assisted Genetic Algorithm for Multi-project Scheduling.
ICO, 2022

COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods.
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022

RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

An Integrated Multi-project Scheduling, Materials Ordering and Suppliers Selection Problem.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

Multi-Objective Influence Maximization Under Varying-Size Solutions and Constraints.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment.
IEEE Trans. Ind. Informatics, 2021

MOEO-EED: A multi-objective equilibrium optimizer with exploration-exploitation​ dominance strategy.
Knowl. Based Syst., 2021

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection.
Knowl. Based Syst., 2021

An MCDM integrated adaptive simulated annealing approach for influence maximization in social networks.
Inf. Sci., 2021

Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities.
IEEE Internet Things J., 2021

Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks.
IEEE Internet Things J., 2021

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications.
IEEE Internet Things J., 2021

IEGA: An improved elitism-based genetic algorithm for task scheduling problem in fog computing.
Int. J. Intell. Syst., 2021

A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems.
Expert Syst. Appl., 2021

A clustering based Swarm Intelligence optimization technique for the Internet of Medical Things.
Expert Syst. Appl., 2021

EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis.
Expert Syst. Appl., 2021

A tree structure-based improved blockchain framework for a secure online bidding system.
Comput. Secur., 2021

Evolutionary algorithm-based convolutional neural network for predicting heart diseases.
Comput. Ind. Eng., 2021

An intelligent strategy map to evaluate improvement projects of auto industry using fuzzy cognitive map and fuzzy slack-based efficiency model.
Comput. Ind. Eng., 2021

Scheduling project with stochastic durations and time-varying resource requests: A metaheuristic approach.
Comput. Ind. Eng., 2021

An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources.
Comput. Ind. Eng., 2021

Resource constrained project scheduling and material ordering problem with discounted cash flows.
Comput. Ind. Eng., 2021

BSMA: A novel metaheuristic algorithm for multi-dimensional knapsack problems: Method and comprehensive analysis.
Comput. Ind. Eng., 2021

An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection.
Comput. Ind. Eng., 2021

New binary marine predators optimization algorithms for 0-1 knapsack problems.
Comput. Ind. Eng., 2021

Multi-operator communication based differential evolution with sequential Tabu Search approach for job shop scheduling problems.
Appl. Soft Comput., 2021

Hardware-in-the-Loop Implementation of Projectile Target Search Algorithm for Selective Harmonic Elimination in a 3-Phase Multilevel Converter.
IEEE Access, 2021

A Multifunctional Non-Isolated Dual Input-Dual Output Converter for Electric Vehicle Applications.
IEEE Access, 2021

Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling.
IEEE Access, 2021

Managing Uncertainty and Disruptions in Resource Constrained Project Scheduling Problems: A Real-Time Reactive Approach.
IEEE Access, 2021

Rapid and Robust Adaptive Jaya (Ajaya) Based Maximum Power Point Tracking of a PV-Based Generation System.
IEEE Access, 2021

Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review.
IEEE Access, 2021

M-Type and CD-Type Carrier Based PWM Methods and Bat Algorithm-Based SHE and SHM for Compact Nine-Level Switched Capacitor Inverter.
IEEE Access, 2021

Techno-Economic and Power System Optimization of a Renewable Rich Islanded Microgrid Considering Different Dispatch Strategies.
IEEE Access, 2021

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey.
IEEE Access, 2021

A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management.
IEEE Access, 2021

A Review on Driving Control Issues for Smart Electric Vehicles.
IEEE Access, 2021

Graph Neural Network: A Comprehensive Review on Non-Euclidean Space.
IEEE Access, 2021

An Immune Genetic Algorithm for Solving NPV-Based Resource Constrained Project Scheduling Problem.
IEEE Access, 2021

11-Level Operation With Voltage-Balance Control of WE-Type Inverter Using Conventional and DE-SHE Techniques.
IEEE Access, 2021

Performance Analysis and Hardware-in-the-Loop (HIL) Validation of Single Switch High Voltage Gain DC-DC Converters for MPP Tracking in Solar PV System.
IEEE Access, 2021

An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and Validations.
IEEE Access, 2021

A Memetic Algorithm for Concurrent Project Scheduling, Materials Ordering and Suppliers Selection Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

An Integrated Differential Evolution-based Heuristic Method for Product Family Design Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Single mode resource constrained project scheduling with unreliable resources.
Oper. Res., 2020

Multi-mode resource-constrained project scheduling using modified variable neighborhood search heuristic.
Int. Trans. Oper. Res., 2020

A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems.
Future Gener. Comput. Syst., 2020

A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection.
Eng. Appl. Artif. Intell., 2020

Efficient priority rules for project scheduling under dynamic environments: A heuristic approach.
Comput. Ind. Eng., 2020

Evolutionary Framework With Reinforcement Learning-Based Mutation Adaptation.
IEEE Access, 2020

Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output.
IEEE Access, 2020

An Efficient-Assembler Whale Optimization Algorithm for DNA Fragment Assembly Problem: Analysis and Validations.
IEEE Access, 2020

A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy.
IEEE Access, 2020

DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing.
IEEE Access, 2020

A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Robust Optimization Based Heuristic Approach for Solving Stochastic Multi-Mode Resource Constrained Project Scheduling Problem.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

A Hybrid Community-based Simulated Annealing Approach for Influence Maximization in Social Networks.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

An Immune Genetic Algorithm for Resource Constrained Project Scheduling Problem with Discounted Cash Flows.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Hybrid Differential Evolution with Cuckoo Search for Solving Resource Constrained Project Scheduling Problems.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

The Development of a Roadmap for Project Management Framework and Processes.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Digital Twin-based Cyber Physical System for Sustainable Project Scheduling.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

An Effective Memetic Algorithm for Resource Constrained Project Scheduling Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Robust Project Scheduling with Unreliable Resources: A Variable Neighbourhood Search Based Heuristic Approach.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

2017
Resource constrained project scheduling with uncertain activity durations.
Comput. Ind. Eng., 2017

2016
Multi-mode resource constrained project scheduling under resource disruptions.
Comput. Chem. Eng., 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

2015
A possibilistic environment based particle swarm optimization for aggregate production planning.
Comput. Ind. Eng., 2015

2014
Event Based Approaches for Solving Multi-mode Resource Constraints Project Scheduling Problem.
Proceedings of the Computer Information Systems and Industrial Management, 2014


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