Ripon K. Chakrabortty
Orcid: 0000-0002-7373-0149
According to our database1,
Ripon K. Chakrabortty
authored at least 118 papers
between 2014 and 2024.
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Bibliography
2024
Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey.
Ann. Oper. Res., August, 2024
An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach.
Simul. Model. Pract. Theory, January, 2024
Expert Syst. Appl., 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
Multim. Tools Appl., September, 2023
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
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
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
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
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
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
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
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
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
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
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
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
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019
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
Comput. Ind. Eng., 2017
2016
Comput. Chem. Eng., 2016
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