Event Based Approaches for Solving Multi-mode Resource Constraints Project Scheduling Problem. - Ripon Kumar Chakrabortty; Ruhul Amin Sarker; Daryl Essam (CISIM, 2014)

A possibilistic environment based particle swarm optimization for aggregate production planning. - Ripon Kumar Chakrabortty; Md. Ahsan Akhtar Hasin; Ruhul A. Sarker; Daryl Essam (Comput. Ind. Eng., 2015)

Proceedings in Adaptation, Learning and Optimization. - Ripon Kumar Chakrabortty; Ruhul A. Sarker; Daryl Leslie Essam (IES, 2016)

Multi-mode resource constrained project scheduling under resource disruptions. - Ripon Kumar Chakrabortty; Ruhul A. Sarker; Daryl Leslie Essam (Comput. Chem. Eng., 2016)

Resource constrained project scheduling with uncertain activity durations. - Ripon Kumar Chakrabortty; Ruhul A. Sarker; Daryl Leslie Essam (Comput. Ind. Eng., 2017)

Managing Uncertainties and Disruptions in Resource Constrained Project Scheduling. - Ripon K. Chakrabortty (2017)

Robust Project Scheduling with Unreliable Resources: A Variable Neighbourhood Search Based Heuristic Approach. - Ripon Kumar Chakrabortty; Alireza Abbasi; Michael J. Ryan (IEEM, 2018)

An Effective Memetic Algorithm for Resource Constrained Project Scheduling Problem. - Humyun Fuad Rahman; Ripon Kumar Chakrabortty; Michael J. Ryan (CEC, 2019)

Digital Twin-based Cyber Physical System for Sustainable Project Scheduling. - Ripon Kumar Chakrabortty; Humyun Fuad Rahman; Huadong Mo; Michael J. Ryan (IEEM, 2019)

The Development of a Roadmap for Project Management Framework and Processes. - Mozhgan Pakdaman; Vahid Dokhtzeynal; Alireza Abbasi; Ripon Kumar Chakrabortty (IEEM, 2019)

A Hybrid Differential Evolution with Cuckoo Search for Solving Resource Constrained Project Scheduling Problems. - Karam M. Sallam; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEM, 2019)

Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems. - Karam M. Sallam; Saber M. Elsayed; Ripon Kumar Chakrabortty; Michael J. Ryan (CEC, 2020)

Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems. - Karam M. Sallam; Saber M. Elsayed; Ripon Kumar Chakrabortty; Michael J. Ryan (CEC, 2020)

An Immune Genetic Algorithm for Resource Constrained Project Scheduling Problem with Discounted Cash Flows. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEM, 2020)

A Hybrid Community-based Simulated Annealing Approach for Influence Maximization in Social Networks. - Tarun Kumer Biswas; Alireza Abbasi; Ripon Kumar Chakrabortty (IEEM, 2020)

Robust Optimization Based Heuristic Approach for Solving Stochastic Multi-Mode Resource Constrained Project Scheduling Problem. - Ripon Kumar Chakrabortty; Michael J. Ryan (IEEM, 2020)

A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach. - Karam M. Sallam; Hasan Huseyin Turan; Ripon Kumar Chakrabortty; Sondoss Elsawah; Michael J. Ryan (SSCI, 2020)

DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing. - Mohamed Abdel-Basset; Hossam Hawash; Mohamed Elhoseny; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2020)

A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy. - Mohamed Abdel-Basset; Reda Mohamed; Mohamed Elhoseny; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2020)

An Efficient-Assembler Whale Optimization Algorithm for DNA Fragment Assembly Problem: Analysis and Validations. - Mohamed Abdel-Basset; Reda Mohamed; Karam M. Sallam; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2020)

Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output. - Kaif Ahmed Lodi; Mohammad Ali 004; Mohd Tariq; Mohammad Meraj; Atif Iqbal; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2020)

Evolutionary Framework With Reinforcement Learning-Based Mutation Adaptation. - Karam M. Sallam; Saber M. Elsayed; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2020)

Efficient priority rules for project scheduling under dynamic environments: A heuristic approach. - Ripon Kumar Chakrabortty; Humyun Fuad Rahman; Michael J. Ryan (Comput. Ind. Eng., 2020)

A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection. - Manoj Mathew; Ripon Kumar Chakrabortty; Michael J. Ryan (Eng. Appl. Artif. Intell., 2020)

A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems. - Karam M. Sallam; Ripon Kumar Chakrabortty; Michael J. Ryan (Future Gener. Comput. Syst., 2020)

Multi-mode resource-constrained project scheduling using modified variable neighborhood search heuristic. - Ripon Kumar Chakrabortty; Alireza Abbasi; Michael J. Ryan (Int. Trans. Oper. Res., 2020)

Single mode resource constrained project scheduling with unreliable resources. - Ripon Kumar Chakrabortty; Ruhul A. Sarker; Daryl Leslie Essam (Oper. Res., 2020)

An Integrated Differential Evolution-based Heuristic Method for Product Family Design Problem. - Ismail M. Ali; Hasan Hüseyin Turan; Ripon K. Chakrabortty; Sondoss Elsawah; Michael J. Ryan (CEC, 2021)

Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study. - Hatem M. H. Saad; Ripon K. Chakrabortty; Saber M. Elsayed (CEC, 2021)

A Memetic Algorithm for Concurrent Project Scheduling, Materials Ordering and Suppliers Selection Problem. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (KES, 2021)

An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and Validations. - Mohamed Abdel-Basset; Reda Mohamed; Seyedali Mirjalili; Ripon K. Chakrabortty; Michael J. Ryan (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. - Javed Ahmad; Imran Pervez; Adil Sarwar; Mohd Tariq; Mohammad Fahad; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Access, 2021)

11-Level Operation With Voltage-Balance Control of WE-Type Inverter Using Conventional and DE-SHE Techniques. - Mohammad Ali 004; Mohd Tariq; Ripon K. Chakrabortty; Michael J. Ryan; Basem Alamri; Mohammed Bou-Rabee (IEEE Access, 2021)

An Immune Genetic Algorithm for Solving NPV-Based Resource Constrained Project Scheduling Problem. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2021)

Graph Neural Network: A Comprehensive Review on Non-Euclidean Space. - Nurul A. Asif; Yeahia Sarker; Ripon K. Chakrabortty; Michael J. Ryan; Md. Hafiz Ahamed; Dip Kumar Saha; Faisal R. Badal; Sajal K. Das 002; Md. Firoz Ali; Sumaya I. Moyeen; Md. Robiul Islam 002; Zinat Tasneem (IEEE Access, 2021)

A Review on Driving Control Issues for Smart Electric Vehicles. - Tansu S. Haque; Md. H. Rahman; Md. Robiul Islam 002; Md. Abdur Razzak; Faisal R. Badal; Md. Hafiz Ahamed; Sumaya I. Moyeen; Sajal K. Das 002; Md. Firoz Ali; Zinat Tasneem; Dip Kumar Saha; Ripon K. Chakrabortty; et al. (IEEE Access, 2021)

A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management. - Shahid A. Hasib; Shorif Ul Islam; Ripon K. Chakrabortty; Michael J. Ryan; Dip Kumar Saha; Md. Hafiz Ahamed; Sumaya I. Moyeen; Sajal K. Das 002; Md. Firoz Ali; Md. Rashidul Islam; Zinat Tasneem; Faisal R. Badal (IEEE Access, 2021)

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey. - Muhammad Akbar Husnoo; Adnan Anwar; Ripon K. Chakrabortty; Robin Doss; Mike Ryan (IEEE Access, 2021)

Techno-Economic and Power System Optimization of a Renewable Rich Islanded Microgrid Considering Different Dispatch Strategies. - Md. Fatin Ishraque; Sk. A. Shezan; M. M. Rashid; Ananta Bijoy Bhadra; Md. Alamgir Hossain 002; Ripon K. Chakrabortty; Michael J. Ryan; Shahriar Rahman Fahim; Subrata K. Sarker; Sajal K. Das 002 (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. - Shahbaz Ahmad Khan; Deepak Upadhyay; Mohammad Ali 004; Mohd Tariq; Adil Sarwar; Ripon K. Chakrabortty; Michael J. Ryan; Basem Alamri; Ahmad Aziz Alahmadi (IEEE Access, 2021)

Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review. - Md. A. K. Niloy; Anika Shama; Ripon K. Chakrabortty; Michael J. Ryan; Faisal R. Badal; Zinat Tasneem; Md. Hafiz Ahamed; Sumaya I. Moyeen; Sajal K. Das 002; Md. Hafiz Ahamed; Md. Rashidul Islam; Dip Kumar Saha (IEEE Access, 2021)

Rapid and Robust Adaptive Jaya (Ajaya) Based Maximum Power Point Tracking of a PV-Based Generation System. - Imran Pervez; Arsalan Pervez; Mohd Tariq; Adil Sarwar; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Access, 2021)

Managing Uncertainty and Disruptions in Resource Constrained Project Scheduling Problems: A Real-Time Reactive Approach. - Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Access, 2021)

Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling. - Hatem M. H. Saad; Ripon K. Chakrabortty; Saber M. Elsayed; Michael J. Ryan (IEEE Access, 2021)

A Multifunctional Non-Isolated Dual Input-Dual Output Converter for Electric Vehicle Applications. - Karthik Suresh 002; C. Bharatiraja; Chellammal Nallaperumal; Mohd Tariq; Ripon K. Chakrabortty; Michael J. Ryan; Basem Alamri (IEEE Access, 2021)

Hardware-in-the-Loop Implementation of Projectile Target Search Algorithm for Selective Harmonic Elimination in a 3-Phase Multilevel Converter. - Mohammad Tayyab; Adil Sarwar; Mohd Tariq; Ripon Kumar Chakrabortty; Michael J. Ryan (IEEE Access, 2021)

Multi-operator communication based differential evolution with sequential Tabu Search approach for job shop scheduling problems. - Shahed Mahmud; Alireza Abbasi; Ripon K. Chakrabortty; Michael J. Ryan (Appl. Soft Comput., 2021)

New binary marine predators optimization algorithms for 0-1 knapsack problems. - Mohamed Abdel-Basset; Reda Mohamed; Ripon Kumar Chakrabortty; Michael J. Ryan; Seyedali Mirjalili (Comput. Ind. Eng., 2021)

An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection. - Mohamed Abdel-Basset; Reda Mohamed; Ripon Kumar Chakrabortty; Michael J. Ryan; Seyedali Mirjalili (Comput. Ind. Eng., 2021)

BSMA: A novel metaheuristic algorithm for multi-dimensional knapsack problems: Method and comprehensive analysis. - Mohamed Abdel-Basset; Reda Mohamed; Karam M. Sallam; Ripon K. Chakrabortty; Michael J. Ryan (Comput. Ind. Eng., 2021)

Resource constrained project scheduling and material ordering problem with discounted cash flows. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (Comput. Ind. Eng., 2021)

An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources. - Ripon Kumar Chakrabortty; Humyun Fuad Rahman; Khan M. A. Haque; Sanjoy Kumar Paul; Michael J. Ryan (Comput. Ind. Eng., 2021)

Scheduling project with stochastic durations and time-varying resource requests: A metaheuristic approach. - Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (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. - Mustafa Jahangoshai Rezaee; Samuel Yousefi; Majid Baghery; Ripon K. Chakrabortty (Comput. Ind. Eng., 2021)

Evolutionary algorithm-based convolutional neural network for predicting heart diseases. - Ali A. Samir; Abdullah R. Rashwan; Karam M. Sallam; Ripon K. Chakrabortty; Michael J. Ryan; Amr A. Abohany (Comput. Ind. Eng., 2021)

A tree structure-based improved blockchain framework for a secure online bidding system. - Aaliya Sarfaraz; Ripon K. Chakrabortty; Daryl Essam (Comput. Secur., 2021)

EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis. - Mohamed Abdel-Basset; Reda Mohamed; Mohamed Abouhawwash; Ripon K. Chakrabortty; Michael J. Ryan (Expert Syst. Appl., 2021)

A clustering based Swarm Intelligence optimization technique for the Internet of Medical Things. - Engy A. El-Shafeiy; Karam M. Sallam; Ripon K. Chakrabortty; Amr A. Abohany (Expert Syst. Appl., 2021)

A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems. - Karam M. Sallam; Ripon Kumar Chakrabortty; Michael J. Ryan (Expert Syst. Appl., 2021)

IEGA: An improved elitism-based genetic algorithm for task scheduling problem in fog computing. - Mohamed Abdel-Basset; Reda Mohamed; Ripon K. Chakrabortty; Michael J. Ryan (Int. J. Intell. Syst., 2021)

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications. - Mohamed Abdel-Basset; Hossam Hawash; Ripon Kumar Chakrabortty; Michael J. Ryan; Mohamed Elhoseny; Houbing Song (IEEE Internet Things J., 2021)

Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks. - Mohamed Abdel-Basset; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Internet Things J., 2021)

Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities. - Mohamed Abdel-Basset; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Internet Things J., 2021)

An MCDM integrated adaptive simulated annealing approach for influence maximization in social networks. - Tarun Kumer Biswas; Alireza Abbasi; Ripon Kumar Chakrabortty (Inf. Sci., 2021)

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection. - Mohamed Abdel-Basset; Victor Chang 001; Hossam Hawash; Ripon Kumar Chakrabortty; Michael J. Ryan (Knowl. Based Syst., 2021)

MOEO-EED: A multi-objective equilibrium optimizer with exploration-exploitation​ dominance strategy. - Mohamed Abdel-Basset; Reda Mohamed; Seyedali Mirjalili; Ripon Kumar Chakrabortty; Michael J. Ryan (Knowl. Based Syst., 2021)

Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment. - Mohamed Abdel-Basset; Victor Chang 001; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Trans. Ind. Informatics, 2021)

Multi-Objective Influence Maximization Under Varying-Size Solutions and Constraints. - Tarun Kumer Biswas; Alireza Abbasi; Ripon K. Chakrabortty (ASONAM, 2022)

An Integrated Multi-project Scheduling, Materials Ordering and Suppliers Selection Problem. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (CENTERIS/ProjMAN/HCist, 2022)

RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. - Seyed Jalaleddin Mousavirad; Mahshid Helali Moghadam; Mehrdad Saadatmand; Ripon K. Chakrabortty; Gerald Schaefer; Diego Oliva (EvoApplications, 2022)

COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods. - Nour Eldeen Mahmoud Khalifa; Mohamed Hamed N. Taha; Ripon K. Chakrabortty; Mohamed Loey (ICHSA, 2022)

Surrogate-assisted Genetic Algorithm for Multi-project Scheduling. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (ICO, 2022)

Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation. - Amir Hossein Ordibazar; Omar Hussain 002; Ripon K. Chakrabortty; Morteza Saberi; Elnaz Irannezhad (ICSOC Workshops, 2022)

Towards a Scalable Permissioned Blockchain Framework for Supply Chain Management. - Aaliya Sarfaraz; Ripon K. Chakrabortty; Daryl Leslie Essam (IEEM, 2022)

Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems. - Shahed Mahmud; Ripon K. Chakrabortty; Alireza Abbasi; Michael J. Ryan (Appl. Soft Comput., 2022)

Manufacturing project scheduling considering human factors to minimize total cost and carbon footprints. - Humyun Fuad Rahman; Tom Servranckx; Ripon K. Chakrabortty; Mario Vanhoucke; Sondoss El Sawah (Appl. Soft Comput., 2022)

Inventory decisions on the transportation system and carbon emissions under COVID-19 effects: A sensitivity analysis. - Abu Hashan Md Mashud; Sujan Miah; Yosef Daryanto; Ripon K. Chakrabortty; S. M. Mahmudul Hasan; Ming-Lang Tseng (Comput. Ind. Eng., 2022)

Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder. - Yeahia Sarker; Abdullah-Al-Zubaer Imran; Md. Hafiz Ahamed; Ripon K. Chakrabortty; Michael J. Ryan; Sajal K. Das 002 (CoRR, 2022)

Multi-operator immune genetic algorithm for project scheduling with discounted cash flows. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (Expert Syst. Appl., 2022)

A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks. - Tarun Kumer Biswas; Alireza Abbasi; Ripon Kumar Chakrabortty (Expert Syst. Appl., 2022)

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images. - El-Sayed A. El-Dahshan; Mahmoud M. Bassiouni; Ahmed Hagag; Ripon K. Chakrabortty; Hui Wen Loh; U. Rajendra Acharya (Expert Syst. Appl., 2022)

Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic. - Abduallah Gamal; Mohamed Abdel-Basset; Ripon K. Chakrabortty (Expert Syst. Appl., 2022)

Energy-efficient project scheduling with supplier selection in manufacturing projects. - Humyun Fuad Rahman; Ripon K. Chakrabortty; Sondoss Elsawah; Michael J. Ryan (Expert Syst. Appl., 2022)

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications. - Mohamed Abdel-Basset; Hossam Hawash; Victor Chang 001; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Internet Things J., 2022)

Poly-linear regression with augmented long short term memory neural network: Predicting time series data. - Supriyo Ahmed; Ripon K. Chakrabortty; Daryl Essam; Weiping Ding 001 (Inf. Sci., 2022)

Reactive power compensation for grid by Packed-U-Cell inverter using model predictive control strategy with intelligent multi-objective scheme. - Mohd Anas Anees; Mohd Tariq; Kaif Ahmed Lodi; Mahetab Alam; Ripon K. Chakrabortty; Michael J. Ryan (J. Intell. Fuzzy Syst., 2022)

An MPPT method using hybrid radial movement optimization with teaching-learning based optimization under fluctuating atmospheric conditions. - Imran Pervez; Adil Sarwar; Afroz Alam; Mohd Tariq; Ripon K. Chakrabortty; Michael J. Ryan (J. Intell. Fuzzy Syst., 2022)

Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems. - Shahed Mahmud; Ripon K. Chakrabortty; Alireza Abbasi; Michael J. Ryan (J. Intell. Manuf., 2022)

An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks. - Shaymaa E. Sorour; Hanan E. Abdelkader; Karam M. Sallam; Ripon K. Chakrabortty; Michael J. Ryan; Amr A. Abohany (J. King Saud Univ. Comput. Inf. Sci., 2022)

An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions. - Tarun Kumer Biswas; Alireza Abbasi; Ripon K. Chakrabortty (Knowl. Based Syst., 2022)

A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems. - Shahed Mahmud; Alireza Abbasi; Ripon K. Chakrabortty; Michael J. Ryan (Knowl. Based Syst., 2022)

Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. - Seyed Jalaleddin Mousavirad; Diego Oliva; Ripon K. Chakrabortty; Davood Zabihzadeh; Salvador Hinojosa (Knowl. Based Syst., 2022)

Explainability in supply chain operational risk management: A systematic literature review. - Sonia Farhana Nimmy; Omar Hussain 002; Ripon K. Chakrabortty; Farookh Khadeer Hussain; Morteza Saberi (Knowl. Based Syst., 2022)

Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chain. - Tanzila Azad; Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (Memetic Comput., 2022)

An improved binary sparrow search algorithm for feature selection in data classification. - Ahmed G. Gad; Karam M. Sallam; Ripon K. Chakrabortty; Michael J. Ryan; Amr A. Abohany (Neural Comput. Appl., 2022)

Correction to: An improved binary sparrow search algorithm for feature selection in data classification. - Ahmed G. Gad; Karam M. Sallam; Ripon K. Chakrabortty; Michael J. Ryan; Amr A. Abohany (Neural Comput. Appl., 2022)

A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation-Optimization Approach. - Amany M. Akl; Sondoss El Sawah; Ripon K. Chakrabortty; Hasan Hüseyin Turan (Reliab. Eng. Syst. Saf., 2022)

An Automated Task Scheduling Model Using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems. - Ismail M. Ali; Karam M. Sallam; Nour Moustafa; Ripon K. Chakrabortty; Michael J. Ryan; Kim-Kwang Raymond Choo (IEEE Trans. Cloud Comput., 2022)

Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic Approaches. - Md Meftahul Ferdaus; Forhad Zaman; Ripon K. Chakrabortty (IEEE Trans. Cybern., 2022)

A Risk Assessment Framework for Scheduling Projects With Resource and Duration Uncertainties. - Ripon K. Chakrabortty; Alireza Abbasi; Michael J. Ryan (IEEE Trans. Engineering Management, 2022)

Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method. - Manoj Mathew; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Trans. Engineering Management, 2022)

Multiobjective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices Online. - Md Meftahul Ferdaus; Ripon K. Chakrabortty; Michael J. Ryan (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Predicting Energy Consumption of Battery-Operated Electric Vehicles: A Comparative Performance Assessment. - Dyuti Paul; Huadong Mo; Saber M. Elsayed; Ripon K. Chakrabortty (IEEM, 2023)

Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time. - Sonia Farhana Nimmy; Omar Khadeer Hussain; Ripon K. Chakrabortty; Farookh Khadeer Hussain; Morteza Saberi (Eng. Appl. Artif. Intell., 2023)

Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions. - Mahmoud M. Bassiouni; Ripon K. Chakrabortty; Omar Khadeer Hussain; Humyun Fuad Rahman (Expert Syst. Appl., 2023)

Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications. - Aaliya Sarfaraz; Ripon K. Chakrabortty; Daryl Essam (J. Ambient Intell. Humaniz. Comput., 2023)

An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions. - Sonia Farhana Nimmy; Omar Khadeer Hussain; Ripon K. Chakrabortty; Farookh Khadeer Hussain; Morteza Saberi (Knowl. Based Syst., 2023)

Robust Influence Maximization Under Both Aleatory and Epistemic Uncertainty. - Tarun Kumer Biswas; Alireza Abbasi; Ripon Kumar Chakrabortty (ACM Trans. Knowl. Discov. Data, 2023)

A multi-objective Bi-level leader-follower joint optimization for concurrent design of product family and assembly system. - Md. Sanowar Hossain; Ripon K. Chakrabortty; Sondoss El Sawah; Michael J. Ryan (Comput. Ind. Eng., 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. - Ripon K. Chakrabortty; Mohammad Humyun Fuad Rahman; Weiping Ding 001 (IEEE Trans. Ind. Informatics, 2023)

A recovery planning model for online business operations under the COVID-19 outbreak. - Sanjoy Kumar Paul; Md. Abdul Moktadir; Karam M. Sallam; Tsan-Ming Choi; Ripon Kumar Chakrabortty (Int. J. Prod. Res., 2023)

Evaluating supply chain network resilience considering disruption propagation. - Farhad Habibi; Ripon Kumar Chakrabortty; Alireza Abbasi (Comput. Ind. Eng., 2023)

A multi-criteria decision-making tool for the screening of Asperger syndrome. - Anurag Sharma; Ripon K. Chakrabortty; Vikrant Sharma; Hitesh Marwaha; Parulpreet Singh; Shubham Mahajan; Amit Kant Pandit (Multim. Tools Appl., 2023)

Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction. - Md. Alamgir Hossain 002; Evan Gray; Junwei Lu; Md. Rabiul Islam 006; Md. Shafiul Alam; Ripon K. Chakrabortty; Hemanshu Roy Pota (IEEE Trans. Ind. Informatics, 2023)

AccessChain: An access control framework to protect data access in blockchain enabled supply chain. - Aaliya Sarfaraz; Ripon K. Chakrabortty; Daryl Leslie Essam (Future Gener. Comput. Syst., 2023)

An integrated differential evolution algorithm for reconfigurable manufacturing systems. - Ismail M. Ali; Sumana Biswas; Hasan Hüseyin Turan; Ripon K. Chakrabortty; Sondoss Elsawah; Michael J. Ryan (Appl. Soft Comput., 2023)

Optimized Key Recovery for Blockchain Wallets in Sustainable Supply Chains. - Aaliya Sarfaraz; Ripon K. Chakrabortty; Saad Aslam; Ahmad Sahban Rafsanjani (IEEM, 2024)

Interpretability in Mapping Weeds and Crops from Drone Images. - Sonia Farhana Nimmy; Md Sarwar Kamal; Omar Khadeer Hussain; Ripon K. Chakrabortty (IJCNN, 2024)

A switching based forecasting approach for forecasting sales data in supply chains. - Supriyo Ahmed; Ripon K. Chakrabortty; Daryl Leslie Essam; Weiping Ding 001 (Appl. Soft Comput., 2024)

Supply chain integrated resource-constrained multi-project scheduling problem. - Md. Asadujjaman; Humyun Fuad Rahman; Ripon K. Chakrabortty; Michael J. Ryan (Comput. Ind. Eng., 2024)

Deep learning approaches to identify order status in a complex supply chain. - Mahmoud M. Bassiouni; Ripon K. Chakrabortty; Karam M. Sallam; Omar Khadeer Hussain (Expert Syst. Appl., 2024)

An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach. - Amany M. Akl; Humyun Fuad Rahman; Ripon K. Chakrabortty; Sondoss El Sawah (Simul. Model. Pract. Theory, 2024)

Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey. - Mohamed Abdel-Basset; Victor Chang 001; Hossam Hawash; Ripon K. Chakrabortty; Michael J. Ryan (Ann. Oper. Res., 2024)

Generalized hop-based approaches for identifying influential nodes in social networks. - Tarun Kumer Biswas; Alireza Abbasi; Ripon Kumar Chakrabortty (Expert Syst. J. Knowl. Eng., 2024)

Developing Long-Term Business Strategies by Leveraging Infeasible Recommendations of the Counterfactual Explanation Model. - Amir Hossein Ordibazar; Omar Khadeer Hussain; Ripon Kumar Chakrabortty; Elnaz Irannezhad; Morteza Saberi (AINA (3), 2025)

A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making. - Bodrunnessa Badhon; Ripon K. Chakrabortty; Sreenatha G. Anavatti; Mario Vanhoucke (Eng. Appl. Artif. Intell., 2025)

Quantifying the trustworthiness of explainable artificial intelligence outputs in uncertain decision-making scenarios. - Sonia Farhana Nimmy; Omar Khadeer Hussain; Ripon K. Chakrabortty; Abderrahmane Leshob (Eng. Appl. Artif. Intell., 2025)

IRAF-BRB: An explainable AI framework for enhanced interpretability in project risk assessment. - Bodrunnessa Badhon; Ripon K. Chakrabortty; Sreenatha G. Anavatti; Mario Vanhoucke (Expert Syst. Appl., 2025)

Investigating disruption propagation and resilience of supply chain networks: interplay of tiers and connections. - Farhad Habibi; Ripon K. Chakrabortty; Alireza Abbasi; William Ho (Int. J. Prod. Res., 2025)

A multi-source multi-layer-based transfer learning approach for forecasting customer demands of newly launched products. - Supriyo Ahmed; Ripon K. Chakrabortty; Daryl Leslie Essam (Intell. Syst. Appl., 2025)

Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms. - Sonia Farhana Nimmy; Omar Khadeer Hussain; Ripon K. Chakrabortty; Sajib Saha (Knowl. Based Syst., 2025)

Synchronizing production and delivery in flow shops with time-of-use electricity pricing. - Humyun Fuad Rahman; Tom Servranckx; Ripon K. Chakrabortty; Mario Vanhoucke; Sondoss El Sawah (Ann. Oper. Res., 2025)

A novel metaheuristic population algorithm for optimising the connection weights of neural networks. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Khosro Rezaee; Diego Oliva; Davood Zabihzadeh; Ripon K. Chakrabortty; Hamzeh Mohammadigheymasi; Mehdi Pedram (Evol. Syst., 2025)