Ripon K. Chakrabortty - researchr alias

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Viewing Publication 1 - 84 from 84

2025

A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-makingBodrunnessa Badhon, Ripon K. Chakrabortty, Sreenatha G. Anavatti, Mario Vanhoucke. eaai, 148:110427, 2025. [doi]

A novel metaheuristic population algorithm for optimising the connection weights of neural networksSeyed Jalaleddin Mousavirad, Gerald Schaefer, Khosro Rezaee, Diego Oliva, Davood Zabihzadeh, Ripon K. Chakrabortty, Hamzeh Mohammadigheymasi, Mehdi Pedram. evs, 16(1):18, February 2025. [doi]

Quantifying the trustworthiness of explainable artificial intelligence outputs in uncertain decision-making scenariosSonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, Abderrahmane Leshob. eaai, 141:109678, 2025. [doi]

Synchronizing production and delivery in flow shops with time-of-use electricity pricingHumyun Fuad Rahman, Tom Servranckx, Ripon K. Chakrabortty, Mario Vanhoucke, Sondoss El Sawah. anor, 345(1):371-403, February 2025. [doi]

2024

A switching based forecasting approach for forecasting sales data in supply chainsSupriyo Ahmed, Ripon K. Chakrabortty, Daryl Leslie Essam, Weiping Ding 0001. asc, 167:112419, 2024. [doi]

An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approachAmany M. Akl, Humyun Fuad Rahman, Ripon K. Chakrabortty, Sondoss El Sawah. simpra, 130:102839, January 2024. [doi]

Supply chain integrated resource-constrained multi-project scheduling problemMd. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. candie, 194:110380, 2024. [doi]

Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary surveyMohamed Abdel Basset, Victor Chang 0001, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan. anor, 339(1):3-51, August 2024. [doi]

Deep learning approaches to identify order status in a complex supply chainMahmoud M. Bassiouni, Ripon K. Chakrabortty, Karam M. Sallam, Omar Khadeer Hussain. eswa, 250:123947, 2024. [doi]

Interpretability in Mapping Weeds and Crops from Drone ImagesSonia Farhana Nimmy, Md Sarwar Kamal, Omar Khadeer Hussain, Ripon K. Chakrabortty. ijcnn 2024: 1-8 [doi]

Optimized Key Recovery for Blockchain Wallets in Sustainable Supply ChainsAaliya Sarfaraz, Ripon K. Chakrabortty, Saad Aslam, Ahmad Sahban Rafsanjani. ieem 2024: 343-347 [doi]

2023

Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power PredictionMd. Alamgir Hossain 0002, Evan Gray, Junwei Lu, Md Rabiul Islam, Md. Shafiul Alam, Ripon K. Chakrabortty, Hemanshu Roy Pota. tii, 19(10):10145-10159, October 2023. [doi]

An integrated differential evolution algorithm for reconfigurable manufacturing systemsIsmail M. Ali, Sumana Biswas, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss ElSawah, Michael J. Ryan. asc, 149(Part B):111025, December 2023. [doi]

Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictionsMahmoud M. Bassiouni, Ripon K. Chakrabortty, Omar Khadeer Hussain, Humyun Fuad Rahman. eswa, 211:118604, 2023. [doi]

Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0Ripon K. Chakrabortty, Mohammad Humyun Fuad Rahman, Weiping Ding 0001. tii, 19(3):3296-3299, March 2023. [doi]

A multi-objective Bi-level leader-follower joint optimization for concurrent design of product family and assembly systemMd. Sanowar Hossain, Ripon K. Chakrabortty, Sondoss El Sawah, Michael J. Ryan. candie, 177:109035, March 2023. [doi]

Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over timeSonia Farhana Nimmy, Omar K. Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi. eaai, 117(Part):105596, 2023. [doi]

An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisionsSonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi. kbs, 271:110552, 2023. [doi]

Predicting Energy Consumption of Battery-Operated Electric Vehicles: A Comparative Performance AssessmentDyuti Paul, Huadong Mo, Saber M. Elsayed, Ripon K. Chakrabortty. ieem 2023: 1032-1036 [doi]

AccessChain: An access control framework to protect data access in blockchain enabled supply chainAaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Leslie Essam. fgcs, 148:380-394, November 2023. [doi]

Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applicationsAaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Essam. jaihc, 14(6):7795-7811, 2023. [doi]

A multi-criteria decision-making tool for the screening of Asperger syndromeAnurag Sharma, Ripon K. Chakrabortty, Vikrant Sharma, Hitesh Marwaha, Parulpreet Singh, Shubham Mahajan, Amit Kant Pandit. mta, 82(22):34095-34111, September 2023. [doi]

2022

Poly-linear regression with augmented long short term memory neural network: Predicting time series dataSupriyo Ahmed, Ripon K. Chakrabortty, Daryl Essam, Weiping Ding. isci, 606:573-600, 2022. [doi]

A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation-Optimization ApproachAmany Akl, Sondoss El Sawah, Ripon K. Chakrabortty, Hasan Hüseyin Turan. ress, 219:108175, 2022. [doi]

Reactive power compensation for grid by Packed-U-Cell inverter using model predictive control strategy with intelligent multi-objective schemeMohd Anas Anees, Mohd Tariq, Kaif Ahmed Lodi, Mahetab Alam, Ripon K. Chakrabortty, Michael J. Ryan. jifs, 42(2):793-806, 2022. [doi]

Surrogate-assisted Genetic Algorithm for Multi-project SchedulingMd. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. ico 2023: 87-97 [doi]

An Integrated Multi-project Scheduling, Materials Ordering and Suppliers Selection ProblemMd. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. centeris 2023: 1609-1616 [doi]

Multi-operator immune genetic algorithm for project scheduling with discounted cash flowsMd. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. eswa, 195:116589, 2022. [doi]

Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chainTanzila Azad, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. memetic, 14(3):355-376, 2022. [doi]

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT ApplicationsMohamed Abdel Basset, Hossam Hawash, Victor Chang 0001, Ripon K. Chakrabortty, Michael J. Ryan. iotj, 9(8):5653-5665, 2022. [doi]

Multi-Objective Influence Maximization Under Varying-Size Solutions and ConstraintsTarun Kumer Biswas, Alireza Abbasi, Ripon K. Chakrabortty. asunam 2022: 285-292 [doi]

An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutionsTarun Kumer Biswas, Alireza Abbasi, Ripon K. Chakrabortty. kbs, 256:109856, 2022. [doi]

A Risk Assessment Framework for Scheduling Projects With Resource and Duration UncertaintiesRipon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan. tem, 69(5):1917-1931, 2022. [doi]

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray imagesEl-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag, Ripon K. Chakrabortty, Hui Wen Loh, U. Rajendra Acharya. eswa, 204:117410, 2022. [doi]

Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic ApproachesMd Meftahul Ferdaus, Forhad Zaman, Ripon K. Chakrabortty. tcyb, 52(8):7277-7290, 2022. [doi]

Multiobjective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices OnlineMd Meftahul Ferdaus, Ripon K. Chakrabortty, Michael J. Ryan. tsmc, 52(5):2874-2887, 2022. [doi]

An improved binary sparrow search algorithm for feature selection in data classificationAhmed G. Gad, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany. nca, 34(18):15705-15752, 2022. [doi]

Correction to: An improved binary sparrow search algorithm for feature selection in data classificationAhmed G. Gad, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany. nca, 34(18):15753, 2022. [doi]

Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemicAbduallah Gamal, Mohamed Abdel Basset, Ripon K. Chakrabortty. eswa, 205:117711, 2022. [doi]

COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning MethodsNour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Ripon K. Chakrabortty, Mohamed Loey. ichsa 2022: 1-11 [doi]

Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problemsShahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan. asc, 121:108794, 2022. [doi]

A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problemsShahed Mahmud, Alireza Abbasi, Ripon K. Chakrabortty, Michael J. Ryan. kbs, 251:109190, 2022. [doi]

Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problemsShahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan. jim, 33(7):1939-1966, 2022. [doi]

Inventory decisions on the transportation system and carbon emissions under COVID-19 effects: A sensitivity analysisAbu Hashan Md Mashud, Sujan Miah, Yosef Daryanto, Ripon K. Chakrabortty, S. M. Mahmudul Hasan, Ming-Lang Tseng. candie, 171:108393, 2022. [doi]

Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS MethodManoj Mathew, Ripon K. Chakrabortty, Michael J. Ryan. tem, 69(4):1121-1134, 2022. [doi]

Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representationSeyed Jalaleddin Mousavirad, Diego Oliva, Ripon K. Chakrabortty, Davood Zabihzadeh, Salvador Hinojosa. kbs, 245:108610, 2022. [doi]

Explainability in supply chain operational risk management: A systematic literature reviewSonia Farhana Nimmy, Omar Hussain 0002, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi. kbs, 235:107587, 2022. [doi]

Developing Supply Chain Risk Management Strategies by Using Counterfactual ExplanationAmir Hossein Ordibazar, Omar Hussain 0002, Ripon K. Chakrabortty, Morteza Saberi, Elnaz Irannezhad. icsoc 2023: 53-65 [doi]

An MPPT method using hybrid radial movement optimization with teaching-learning based optimization under fluctuating atmospheric conditionsImran Pervez, Adil Sarwar, Afroz Alam, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan. jifs, 42(2):807-816, 2022. [doi]

Manufacturing project scheduling considering human factors to minimize total cost and carbon footprintsHumyun Fuad Rahman, Tom Servranckx, Ripon K. Chakrabortty, Mario Vanhoucke, Sondoss El Sawah. asc, 131:109764, 2022. [doi]

Energy-efficient project scheduling with supplier selection in manufacturing projectsHumyun Fuad Rahman, Ripon K. Chakrabortty, Sondoss ElSawah, Michael J. Ryan. eswa, 193:116446, 2022. [doi]

Towards a Scalable Permissioned Blockchain Framework for Supply Chain ManagementAaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Leslie Essam. ieem 2022: 960-964 [doi]

An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural NetworksShaymaa E. Sorour, Hanan E. Abdelkader, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany. jksucis, 34(8 Part B):5979-5997, 2022. [doi]

2021

11-Level Operation With Voltage-Balance Control of WE-Type Inverter Using Conventional and DE-SHE TechniquesMohammad Ali 0004, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri, Mohammed Bou-Rabee. access, 9:64317-64330, 2021. [doi]

Performance Analysis and Hardware-in-the-Loop (HIL) Validation of Single Switch High Voltage Gain DC-DC Converters for MPP Tracking in Solar PV SystemJaved Ahmad, Imran Pervez, Adil Sarwar, Mohd Tariq, Mohammad Fahad, Ripon K. Chakrabortty, Michael J. Ryan. access, 9:48811-48830, 2021. [doi]

An Integrated Differential Evolution-based Heuristic Method for Product Family Design ProblemIsmail M. Ali, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss ElSawah, Michael J. Ryan. cec 2021: 25-32 [doi]

A Memetic Algorithm for Concurrent Project Scheduling, Materials Ordering and Suppliers Selection ProblemMd. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. kes 2021: 717-726 [doi]

Resource constrained project scheduling and material ordering problem with discounted cash flowsMd. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. candie, 158:107427, 2021. [doi]

Graph Neural Network: A Comprehensive Review on Non-Euclidean SpaceNurul A. Asif, Yeahia Sarker, Ripon K. Chakrabortty, Michael J. Ryan, Md. Hafiz Ahamed, Dip Kumar Saha, Faisal R. Badal, Sajal K. Das 0002, Md. Firoz Ali, Sumaya I. Moyeen, Md. Robiul Islam 0002, Zinat Tasneem. access, 9:60588-60606, 2021. [doi]

IEGA: An improved elitism-based genetic algorithm for task scheduling problem in fog computingMohamed Abdel Basset, Reda Mohamed, Ripon K. Chakrabortty, Michael J. Ryan. ijis, 36(9):4592-4631, 2021. [doi]

Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT NetworksMohamed Abdel Basset, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan. iotj, 8(15):12251-12265, 2021. [doi]

BSMA: A novel metaheuristic algorithm for multi-dimensional knapsack problems: Method and comprehensive analysisMohamed Abdel Basset, Reda Mohamed, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan. candie, 159:107469, 2021. [doi]

Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart CitiesMohamed Abdel Basset, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan. iotj, 8(15):12422-12435, 2021. [doi]

EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysisMohamed Abdel Basset, Reda Mohamed, Mohamed Abouhawwash, Ripon K. Chakrabortty, Michael J. Ryan. eswa, 173:114699, 2021. [doi]

An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and ValidationsMohamed Abdel Basset, Reda Mohamed, Seyedali Mirjalili, Ripon K. Chakrabortty, Michael J. Ryan. access, 9:42817-42844, 2021. [doi]

Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog EnvironmentMohamed Abdel Basset, Victor Chang 0001, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan. tii, 17(11):7704-7715, 2021. [doi]

A clustering based Swarm Intelligence optimization technique for the Internet of Medical ThingsEngy El-Shafeiy, Karam M. Sallam, Ripon K. Chakrabortty, Amr Abohany. eswa, 173:114648, 2021. [doi]

A Review on Driving Control Issues for Smart Electric VehiclesTansu S. Haque, Md. H. Rahman, Md. Robiul Islam 0002, Md. Abdur Razzak, Faisal R. Badal, Md. Hafiz Ahamed, Sumaya I. Moyeen, Sajal K. Das 0002, Md. Firoz Ali, Zinat Tasneem, Dip Kumar Saha, Ripon K. Chakrabortty, Mike Ryan. access, 9:135440-135472, 2021. [doi]

A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery ManagementShahid A. Hasib, Shorif Ul Islam, Ripon K. Chakrabortty, Michael J. Ryan, Dip Kumar Saha, Md. Hafiz Ahamed, Sumaya I. Moyeen, Sajal K. Das 0002, Md. Firoz Ali, Md. Rashidul Islam, Zinat Tasneem, Faisal R. Badal. access, 9:86166-86193, 2021. [doi]

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive SurveyMuhammad Akbar Husnoo, Adnan Anwar, Ripon K. Chakrabortty, Robin Doss, Mike Ryan. access, 9:153276-153304, 2021. [doi]

Techno-Economic and Power System Optimization of a Renewable Rich Islanded Microgrid Considering Different Dispatch StrategiesMd. Fatin Ishraque, Sk. A. Shezan, M. M. Rashid, Ananta Bijoy Bhadra, Md. Alamgir Hossain, Ripon K. Chakrabortty, Michael J. Ryan, Shahriar Rahman Fahim, Subrata K. Sarker, Sajal K. Das 0002. access, 9:77325-77340, 2021. [doi]

M-Type and CD-Type Carrier Based PWM Methods and Bat Algorithm-Based SHE and SHM for Compact Nine-Level Switched Capacitor InverterShahbaz Ahmad Khan, Deepak Upadhyay, Mohammad Ali 0004, Mohd Tariq, Adil Sarwar, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri, Ahmad Aziz Alahmadi. access, 9:87731-87748, 2021. [doi]

Multi-operator communication based differential evolution with sequential Tabu Search approach for job shop scheduling problemsShahed Mahmud, Alireza Abbasi, Ripon K. Chakrabortty, Michael J. Ryan. asc, 108:107470, 2021. [doi]

Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A ReviewMd. A. K. Niloy, Anika Shama, Ripon K. Chakrabortty, Michael J. Ryan, Faisal R. Badal, Z. Tasneem, Md H. Ahamed, S. I. Moyeen, Sajal K. Das 0002, Md. F. Ali, Md. Robiul Islam, Dip Kumar Saha. access, 9:35338-35370, 2021. [doi]

Rapid and Robust Adaptive Jaya (Ajaya) Based Maximum Power Point Tracking of a PV-Based Generation SystemImran Pervez, Arsalan Pervez, Mohd Tariq, Adil Sarwar, Ripon K. Chakrabortty, Michael J. Ryan. access, 9:48679-48703, 2021. [doi]

Managing Uncertainty and Disruptions in Resource Constrained Project Scheduling Problems: A Real-Time Reactive ApproachHumyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. access, 9:45562-45586, 2021. [doi]

Scheduling project with stochastic durations and time-varying resource requests: A metaheuristic approachHumyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan. candie, 157:107363, 2021. [doi]

An intelligent strategy map to evaluate improvement projects of auto industry using fuzzy cognitive map and fuzzy slack-based efficiency modelMustafa Jahangoshai Rezaee, Samuel Yousefi, Majid Baghery, Ripon K. Chakrabortty. candie, 151:106920, 2021. [doi]

Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary StudyHatem M. H. Saad, Ripon K. Chakrabortty, Saber M. Elsayed. cec 2021: 1833-1839 [doi]

Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-SchedulingHatem M. H. Saad, Ripon K. Chakrabortty, Saber M. Elsayed, Michael J. Ryan. access, 9:38488-38502, 2021. [doi]

Evolutionary algorithm-based convolutional neural network for predicting heart diseasesAli A. Samir, Abdullah R. Rashwan, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr Abohany. candie, 161:107651, 2021. [doi]

A tree structure-based improved blockchain framework for a secure online bidding systemAaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Essam. compsec, 102:102147, 2021. [doi]

A Multifunctional Non-Isolated Dual Input-Dual Output Converter for Electric Vehicle ApplicationsK. Suresh, C. Bharatiraja, Chellammal Nallaperumal, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri. access, 9:64445-64460, 2021. [doi]

2017

Managing Uncertainties and Disruptions in Resource Constrained Project SchedulingRipon K. Chakrabortty. PhD thesis, University of New South Wales, Sydney, Australia, 2017. [doi]

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