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2020 – today
- 2024
- [j95]Mohamed Abdel-Basset, Victor Chang, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan:
Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey. Ann. Oper. Res. 339(1-2): 3-51 (2024) - [j94]Md. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Supply chain integrated resource-constrained multi-project scheduling problem. Comput. Ind. Eng. 194: 110380 (2024) - [j93]Tarun Kumer Biswas, Alireza Abbasi, Ripon Kumar Chakrabortty:
Generalized hop-based approaches for identifying influential nodes in social networks. Expert Syst. J. Knowl. Eng. 41(10) (2024) - [j92]Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Karam M. Sallam, Omar Khadeer Hussain:
Deep learning approaches to identify order status in a complex supply chain. Expert Syst. Appl. 250: 123947 (2024) - [j91]Amany M. Akl, Humyun Fuad Rahman, Ripon K. Chakrabortty, Sondoss El Sawah:
An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach. Simul. Model. Pract. Theory 130: 102839 (2024) - [c25]Sonia Farhana Nimmy, Md Sarwar Kamal, Omar Khadeer Hussain, Ripon K. Chakrabortty:
Interpretability in Mapping Weeds and Crops from Drone Images. IJCNN 2024: 1-8 - 2023
- [j90]Ismail M. Ali, Sumana Biswas, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan:
An integrated differential evolution algorithm for reconfigurable manufacturing systems. Appl. Soft Comput. 149(Part B): 111025 (2023) - [j89]Md. Sanowar Hossain, Ripon K. Chakrabortty, Sondoss El Sawah, Michael J. Ryan:
A multi-objective Bi-level leader-follower joint optimization for concurrent design of product family and assembly system. Comput. Ind. Eng. 177: 109035 (2023) - [j88]Farhad Habibi, Ripon Kumar Chakrabortty, Alireza Abbasi:
Evaluating supply chain network resilience considering disruption propagation. Comput. Ind. Eng. 183: 109531 (2023) - [j87]Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi:
Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time. Eng. Appl. Artif. Intell. 117(Part): 105596 (2023) - [j86]Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Omar Khadeer Hussain, Humyun Fuad Rahman:
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions. Expert Syst. Appl. 211: 118604 (2023) - [j85]Aaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Leslie Essam:
AccessChain: An access control framework to protect data access in blockchain enabled supply chain. Future Gener. Comput. Syst. 148: 380-394 (2023) - [j84]Sanjoy Kumar Paul, Md. Abdul Moktadir, Karam M. Sallam, Tsan-Ming Choi, Ripon Kumar Chakrabortty:
A recovery planning model for online business operations under the COVID-19 outbreak. Int. J. Prod. Res. 61(8): 2613-2635 (2023) - [j83]Aaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Essam:
Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications. J. Ambient Intell. Humaniz. Comput. 14(6): 7795-7811 (2023) - [j82]Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi:
An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions. Knowl. Based Syst. 271: 110552 (2023) - [j81]Anurag Sharma, Ripon K. Chakrabortty, Vikrant Sharma, Hitesh Marwaha, Parulpreet Singh, Shubham Mahajan, Amit Kant Pandit:
A multi-criteria decision-making tool for the screening of Asperger syndrome. Multim. Tools Appl. 82(22): 34095-34111 (2023) - [j80]Ripon K. Chakrabortty, Mohammad Humyun Fuad Rahman, Weiping Ding:
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 19(3): 3296-3299 (2023) - [j79]Md. Alamgir Hossain, Evan Gray, Junwei Lu, Md Rabiul Islam, Md. Shafiul Alam, Ripon K. Chakrabortty, Hemanshu Roy Pota:
Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction. IEEE Trans. Ind. Informatics 19(10): 10145-10159 (2023) - [j78]Tarun Kumer Biswas, Alireza Abbasi, Ripon Kumar Chakrabortty:
Robust Influence Maximization Under Both Aleatory and Epistemic Uncertainty. ACM Trans. Knowl. Discov. Data 17(7): 100:1-100:27 (2023) - [c24]Dyuti Paul, Huadong Mo, Saber M. Elsayed, Ripon K. Chakrabortty:
Predicting Energy Consumption of Battery-Operated Electric Vehicles: A Comparative Performance Assessment. IEEM 2023: 1032-1036 - 2022
- [j77]Shahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan:
Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems. Appl. Soft Comput. 121: 108794 (2022) - [j76]Humyun Fuad Rahman, Tom Servranckx, Ripon K. Chakrabortty, Mario Vanhoucke, Sondoss El Sawah:
Manufacturing project scheduling considering human factors to minimize total cost and carbon footprints. Appl. Soft Comput. 131: 109764 (2022) - [j75]Abu Hashan Md Mashud, Sujan Miah, Yosef Daryanto, Ripon K. Chakrabortty, S. M. Mahmudul Hasan, Ming-Lang Tseng:
Inventory decisions on the transportation system and carbon emissions under COVID-19 effects: A sensitivity analysis. Comput. Ind. Eng. 171: 108393 (2022) - [j74]Tarun Kumer Biswas, Alireza Abbasi, Ripon Kumar Chakrabortty:
A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks. Expert Syst. Appl. 192: 116342 (2022) - [j73]Humyun Fuad Rahman, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan:
Energy-efficient project scheduling with supplier selection in manufacturing projects. Expert Syst. Appl. 193: 116446 (2022) - [j72]Md. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Multi-operator immune genetic algorithm for project scheduling with discounted cash flows. Expert Syst. Appl. 195: 116589 (2022) - [j71]El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag, Ripon K. Chakrabortty, Hui Wen Loh, U. Rajendra Acharya:
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images. Expert Syst. Appl. 204: 117410 (2022) - [j70]Abduallah Gamal, Mohamed Abdel-Basset, Ripon K. Chakrabortty:
Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic. Expert Syst. Appl. 205: 117711 (2022) - [j69]Mohamed Abdel-Basset, Hossam Hawash, Victor Chang, Ripon K. Chakrabortty, Michael J. Ryan:
Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications. IEEE Internet Things J. 9(8): 5653-5665 (2022) - [j68]Supriyo Ahmed, Ripon K. Chakrabortty, Daryl Essam, Weiping Ding:
Poly-linear regression with augmented long short term memory neural network: Predicting time series data. Inf. Sci. 606: 573-600 (2022) - [j67]Mohd Anas Anees, Mohd Tariq, Kaif Ahmed Lodi, Mahetab Alam, Ripon K. Chakrabortty, Michael J. Ryan:
Reactive power compensation for grid by Packed-U-Cell inverter using model predictive control strategy with intelligent multi-objective scheme. J. Intell. Fuzzy Syst. 42(2): 793-806 (2022) - [j66]Imran Pervez, Adil Sarwar, Afroz Alam, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan:
An MPPT method using hybrid radial movement optimization with teaching-learning based optimization under fluctuating atmospheric conditions. J. Intell. Fuzzy Syst. 42(2): 807-816 (2022) - [j65]Shahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan:
Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems. J. Intell. Manuf. 33(7): 1939-1966 (2022) - [j64]Shaymaa E. Sorour, Hanan E. Abdelkader, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany:
An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 5979-5997 (2022) - [j63]Sonia Farhana Nimmy, Omar Hussain, Ripon K. Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi:
Explainability in supply chain operational risk management: A systematic literature review. Knowl. Based Syst. 235: 107587 (2022) - [j62]Seyed Jalaleddin Mousavirad, Diego Oliva, Ripon K. Chakrabortty, Davood Zabihzadeh, Salvador Hinojosa:
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. Knowl. Based Syst. 245: 108610 (2022) - [j61]Shahed Mahmud, Alireza Abbasi, Ripon K. Chakrabortty, Michael J. Ryan:
A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems. Knowl. Based Syst. 251: 109190 (2022) - [j60]Tarun Kumer Biswas, Alireza Abbasi, Ripon K. Chakrabortty:
An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions. Knowl. Based Syst. 256: 109856 (2022) - [j59]Tanzila Azad, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chain. Memetic Comput. 14(3): 355-376 (2022) - [j58]Ahmed G. Gad, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany:
An improved binary sparrow search algorithm for feature selection in data classification. Neural Comput. Appl. 34(18): 15705-15752 (2022) - [j57]Ahmed G. Gad, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany:
Correction to: An improved binary sparrow search algorithm for feature selection in data classification. Neural Comput. Appl. 34(18): 15753 (2022) - [j56]Amany M. Akl, Sondoss El Sawah, Ripon K. Chakrabortty, Hasan Hüseyin Turan:
A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation-Optimization Approach. Reliab. Eng. Syst. Saf. 219: 108175 (2022) - [j55]Ismail M. Ali, Karam M. Sallam, Nour Moustafa, Ripon K. Chakrabortty, Michael J. Ryan, Kim-Kwang Raymond Choo:
An Automated Task Scheduling Model Using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems. IEEE Trans. Cloud Comput. 10(4): 2294-2308 (2022) - [j54]Md Meftahul Ferdaus, Forhad Zaman, Ripon K. Chakrabortty:
Performance Improvement of a Parsimonious Learning Machine Using Metaheuristic Approaches. IEEE Trans. Cybern. 52(8): 7277-7290 (2022) - [j53]Manoj Mathew, Ripon K. Chakrabortty, Michael J. Ryan:
Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method. IEEE Trans. Engineering Management 69(4): 1121-1134 (2022) - [j52]Ripon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan:
A Risk Assessment Framework for Scheduling Projects With Resource and Duration Uncertainties. IEEE Trans. Engineering Management 69(5): 1917-1931 (2022) - [j51]Md Meftahul Ferdaus, Ripon K. Chakrabortty, Michael J. Ryan:
Multiobjective Automated Type-2 Parsimonious Learning Machine to Forecast Time-Varying Stock Indices Online. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 2874-2887 (2022) - [c23]Tarun Kumer Biswas, Alireza Abbasi, Ripon K. Chakrabortty:
Multi-Objective Influence Maximization Under Varying-Size Solutions and Constraints. ASONAM 2022: 285-292 - [c22]Md. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
An Integrated Multi-project Scheduling, Materials Ordering and Suppliers Selection Problem. CENTERIS/ProjMAN/HCist 2022: 1609-1616 - [c21]Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon K. Chakrabortty, Gerald Schaefer, Diego Oliva:
RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. EvoApplications 2022: 255-268 - [c20]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Ripon K. Chakrabortty, Mohamed Loey:
COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods. ICHSA 2022: 1-11 - [c19]Md. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Surrogate-assisted Genetic Algorithm for Multi-project Scheduling. ICO 2022: 87-97 - [c18]Amir Hossein Ordibazar, Omar Hussain, Ripon K. Chakrabortty, Morteza Saberi, Elnaz Irannezhad:
Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation. ICSOC Workshops 2022: 53-65 - [c17]Aaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Leslie Essam:
Towards a Scalable Permissioned Blockchain Framework for Supply Chain Management. IEEM 2022: 960-964 - [i1]Yeahia Sarker, Abdullah-Al-Zubaer Imran, Md. Hafiz Ahamed, Ripon K. Chakrabortty, Michael J. Ryan, Sajal K. Das:
Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder. CoRR abs/2204.01711 (2022) - 2021
- [j50]Md. Asadujjaman, Humyun Fuad Rahman, Ripon Kumar Chakrabortty, Michael J. Ryan:
An Immune Genetic Algorithm for Solving NPV-Based Resource Constrained Project Scheduling Problem. IEEE Access 9: 26177-26195 (2021) - [j49]Mohammad Tayyab, Adil Sarwar, Mohd Tariq, Ripon Kumar Chakrabortty, Michael J. Ryan:
Hardware-in-the-Loop Implementation of Projectile Target Search Algorithm for Selective Harmonic Elimination in a 3-Phase Multilevel Converter. IEEE Access 9: 30626-30635 (2021) - [j48]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, Md. Hafiz Ahamed, Md. Rashidul Islam, Dip Kumar Saha:
Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review. IEEE Access 9: 35338-35370 (2021) - [j47]Hatem M. H. Saad, Ripon K. Chakrabortty, Saber M. Elsayed, Michael J. Ryan:
Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling. IEEE Access 9: 38488-38502 (2021) - [j46]Mohamed Abdel-Basset, Reda Mohamed, Seyedali Mirjalili, Ripon K. Chakrabortty, Michael J. Ryan:
An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and Validations. IEEE Access 9: 42817-42844 (2021) - [j45]Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Managing Uncertainty and Disruptions in Resource Constrained Project Scheduling Problems: A Real-Time Reactive Approach. IEEE Access 9: 45562-45586 (2021) - [j44]Imran Pervez, Arsalan Pervez, Mohd Tariq, Adil Sarwar, Ripon K. Chakrabortty, Michael J. Ryan:
Rapid and Robust Adaptive Jaya (Ajaya) Based Maximum Power Point Tracking of a PV-Based Generation System. IEEE Access 9: 48679-48703 (2021) - [j43]Javed Ahmad, Imran Pervez, Adil Sarwar, Mohd Tariq, Mohammad Fahad, Ripon K. Chakrabortty, Michael J. Ryan:
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 9: 48811-48830 (2021) - [j42]Nurul A. Asif, Yeahia Sarker, Ripon K. Chakrabortty, Michael J. Ryan, Md. Hafiz Ahamed, Dip Kumar Saha, Faisal R. Badal, Sajal K. Das, Md. Firoz Ali, Sumaya I. Moyeen, Md. Robiul Islam, Zinat Tasneem:
Graph Neural Network: A Comprehensive Review on Non-Euclidean Space. IEEE Access 9: 60588-60606 (2021) - [j41]Mohammad Ali, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri, Mohammed Bou-Rabee:
11-Level Operation With Voltage-Balance Control of WE-Type Inverter Using Conventional and DE-SHE Techniques. IEEE Access 9: 64317-64330 (2021) - [j40]Karthik Suresh, C. Bharatiraja, Chellammal Nallaperumal, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri:
A Multifunctional Non-Isolated Dual Input-Dual Output Converter for Electric Vehicle Applications. IEEE Access 9: 64445-64460 (2021) - [j39]Md. 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:
Techno-Economic and Power System Optimization of a Renewable Rich Islanded Microgrid Considering Different Dispatch Strategies. IEEE Access 9: 77325-77340 (2021) - [j38]Shahid A. Hasib, Shorif Ul Islam, Ripon K. Chakrabortty, Michael J. Ryan, Dip Kumar Saha, Md. Hafiz Ahamed, Sumaya I. Moyeen, Sajal K. Das, Md. Firoz Ali, Md. Rashidul Islam, Zinat Tasneem, Faisal R. Badal:
A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management. IEEE Access 9: 86166-86193 (2021) - [j37]Shahbaz Ahmad Khan, Deepak Upadhyay, Mohammad Ali, Mohd Tariq, Adil Sarwar, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri, Ahmad Aziz Alahmadi:
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 9: 87731-87748 (2021) - [j36]Tansu S. Haque, Md. H. Rahman, Md. Robiul Islam, Md. Abdur Razzak, Faisal R. Badal, Md. Hafiz Ahamed, Sumaya I. Moyeen, Sajal K. Das, Md. Firoz Ali, Zinat Tasneem, Dip Kumar Saha, Ripon K. Chakrabortty, Mike Ryan:
A Review on Driving Control Issues for Smart Electric Vehicles. IEEE Access 9: 135440-135472 (2021) - [j35]Muhammad Akbar Husnoo, Adnan Anwar, Ripon K. Chakrabortty, Robin Doss, Mike Ryan:
Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey. IEEE Access 9: 153276-153304 (2021) - [j34]Shahed Mahmud, Alireza Abbasi, Ripon K. Chakrabortty, Michael J. Ryan:
Multi-operator communication based differential evolution with sequential Tabu Search approach for job shop scheduling problems. Appl. Soft Comput. 108: 107470 (2021) - [j33]Mustafa Jahangoshai Rezaee, Samuel Yousefi, Majid Baghery, Ripon K. Chakrabortty:
An intelligent strategy map to evaluate improvement projects of auto industry using fuzzy cognitive map and fuzzy slack-based efficiency model. Comput. Ind. Eng. 151: 106920 (2021) - [j32]Mohamed Abdel-Basset, Reda Mohamed, Ripon Kumar Chakrabortty, Michael J. Ryan, Seyedali Mirjalili:
New binary marine predators optimization algorithms for 0-1 knapsack problems. Comput. Ind. Eng. 151: 106949 (2021) - [j31]Ripon Kumar Chakrabortty, Humyun Fuad Rahman, Khan M. A. Haque, Sanjoy Kumar Paul, Michael J. Ryan:
An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources. Comput. Ind. Eng. 151: 106981 (2021) - [j30]Mohamed Abdel-Basset, Reda Mohamed, Ripon Kumar Chakrabortty, Michael J. Ryan, Seyedali Mirjalili:
An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection. Comput. Ind. Eng. 153: 107078 (2021) - [j29]Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Scheduling project with stochastic durations and time-varying resource requests: A metaheuristic approach. Comput. Ind. Eng. 157: 107363 (2021) - [j28]Md. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
Resource constrained project scheduling and material ordering problem with discounted cash flows. Comput. Ind. Eng. 158: 107427 (2021) - [j27]Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan:
BSMA: A novel metaheuristic algorithm for multi-dimensional knapsack problems: Method and comprehensive analysis. Comput. Ind. Eng. 159: 107469 (2021) - [j26]Ali A. Samir, Abdullah R. Rashwan, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany:
Evolutionary algorithm-based convolutional neural network for predicting heart diseases. Comput. Ind. Eng. 161: 107651 (2021) - [j25]Aaliya Sarfaraz, Ripon K. Chakrabortty, Daryl Essam:
A tree structure-based improved blockchain framework for a secure online bidding system. Comput. Secur. 102: 102147 (2021) - [j24]Karam M. Sallam, Ripon Kumar Chakrabortty, Michael J. Ryan:
A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems. Expert Syst. Appl. 169: 114479 (2021) - [j23]Engy A. El-Shafeiy, Karam M. Sallam, Ripon K. Chakrabortty, Amr A. Abohany:
A clustering based Swarm Intelligence optimization technique for the Internet of Medical Things. Expert Syst. Appl. 173: 114648 (2021) - [j22]Mohamed Abdel-Basset, Reda Mohamed, Mohamed Abouhawwash, Ripon K. Chakrabortty, Michael J. Ryan:
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. 173: 114699 (2021) - [j21]Mohamed Abdel-Basset, Reda Mohamed, Ripon K. Chakrabortty, Michael J. Ryan:
IEGA: An improved elitism-based genetic algorithm for task scheduling problem in fog computing. Int. J. Intell. Syst. 36(9): 4592-4631 (2021) - [j20]Mohamed Abdel-Basset, Hossam Hawash, Ripon Kumar Chakrabortty, Michael J. Ryan, Mohamed Elhoseny, Houbing Song:
ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications. IEEE Internet Things J. 8(6): 4969-4979 (2021) - [j19]Mohamed Abdel-Basset, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan:
Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks. IEEE Internet Things J. 8(15): 12251-12265 (2021) - [j18]Mohamed Abdel-Basset, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan:
Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities. IEEE Internet Things J. 8(15): 12422-12435 (2021) - [j17]Tarun Kumer Biswas, Alireza Abbasi, Ripon Kumar Chakrabortty:
An MCDM integrated adaptive simulated annealing approach for influence maximization in social networks. Inf. Sci. 556: 27-48 (2021) - [j16]Mohamed Abdel-Basset, Victor Chang, Hossam Hawash, Ripon Kumar Chakrabortty, Michael J. Ryan:
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection. Knowl. Based Syst. 212: 106647 (2021) - [j15]Mohamed Abdel-Basset, Reda Mohamed, Seyedali Mirjalili, Ripon Kumar Chakrabortty, Michael J. Ryan:
MOEO-EED: A multi-objective equilibrium optimizer with exploration-exploitation dominance strategy. Knowl. Based Syst. 214: 106717 (2021) - [j14]Mohamed Abdel-Basset, Victor Chang, Hossam Hawash, Ripon K. Chakrabortty, Michael J. Ryan:
Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment. IEEE Trans. Ind. Informatics 17(11): 7704-7715 (2021) - [c16]Ismail M. Ali, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan:
An Integrated Differential Evolution-based Heuristic Method for Product Family Design Problem. CEC 2021: 25-32 - [c15]Hatem M. H. Saad, Ripon K. Chakrabortty, Saber M. Elsayed:
Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study. CEC 2021: 1833-1839 - [c14]Md. Asadujjaman, Humyun Fuad Rahman, Ripon K. Chakrabortty, Michael J. Ryan:
A Memetic Algorithm for Concurrent Project Scheduling, Materials Ordering and Suppliers Selection Problem. KES 2021: 717-726 - 2020
- [j13]Mohamed Abdel-Basset, Reda Mohamed, Mohamed Elhoseny, Ripon Kumar Chakrabortty, Michael J. Ryan:
A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy. IEEE Access 8: 79521-79540 (2020) - [j12]Kaif Ahmed Lodi, Mohammad Ali, Mohd Tariq, Mohammad Meraj, Atif Iqbal, Ripon Kumar Chakrabortty, Michael J. Ryan:
Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output. IEEE Access 8: 96867-96877 (2020) - [j11]Mohamed Abdel-Basset, Hossam Hawash, Mohamed Elhoseny, Ripon Kumar Chakrabortty, Michael J. Ryan:
DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing. IEEE Access 8: 170433-170451 (2020) - [j10]Karam M. Sallam, Saber M. Elsayed, Ripon Kumar Chakrabortty, Michael J. Ryan:
Evolutionary Framework With Reinforcement Learning-Based Mutation Adaptation. IEEE Access 8: 194045-194071 (2020) - [j9]Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ripon Kumar Chakrabortty, Michael J. Ryan:
An Efficient-Assembler Whale Optimization Algorithm for DNA Fragment Assembly Problem: Analysis and Validations. IEEE Access 8: 222144-222167 (2020) - [j8]Ripon Kumar Chakrabortty, Humyun Fuad Rahman, Michael J. Ryan:
Efficient priority rules for project scheduling under dynamic environments: A heuristic approach. Comput. Ind. Eng. 140: 106287 (2020) - [j7]Manoj Mathew, Ripon Kumar Chakrabortty, Michael J. Ryan:
A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection. Eng. Appl. Artif. Intell. 96: 103988 (2020) - [j6]Karam M. Sallam, Ripon Kumar Chakrabortty, Michael J. Ryan:
A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems. Future Gener. Comput. Syst. 108: 432-444 (2020) - [j5]Ripon Kumar Chakrabortty, Alireza Abbasi, Michael J. Ryan:
Multi-mode resource-constrained project scheduling using modified variable neighborhood search heuristic. Int. Trans. Oper. Res. 27(1): 138-167 (2020) - [j4]Ripon Kumar Chakrabortty, Ruhul A. Sarker, Daryl Leslie Essam:
Single mode resource constrained project scheduling with unreliable resources. Oper. Res. 20(3): 1369-1403 (2020) - [c13]Karam M. Sallam, Saber M. Elsayed, Ripon Kumar Chakrabortty, Michael J. Ryan:
Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems. CEC 2020: 1-8 - [c12]Karam M. Sallam, Saber M. Elsayed, Ripon Kumar Chakrabortty, Michael J. Ryan:
Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems. CEC 2020: 1-8 - [c11]Ripon Kumar Chakrabortty, Michael J. Ryan:
Robust Optimization Based Heuristic Approach for Solving Stochastic Multi-Mode Resource Constrained Project Scheduling Problem. IEEM 2020: 1157-1161 - [c10]Md. Asadujjaman, Humyun Fuad Rahman, Ripon Kumar Chakrabortty, Michael J. Ryan:
An Immune Genetic Algorithm for Resource Constrained Project Scheduling Problem with Discounted Cash Flows. IEEM 2020: 1179-1183 - [c9]Tarun Kumer Biswas, Alireza Abbasi, Ripon Kumar Chakrabortty:
A Hybrid Community-based Simulated Annealing Approach for Influence Maximization in Social Networks. IEEM 2020: 1184-1188 - [c8]Karam M. Sallam, Hasan Huseyin Turan, Ripon Kumar Chakrabortty, Sondoss Elsawah, Michael J. Ryan:
A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach. SSCI 2020: 2504-2509
2010 – 2019
- 2019
- [c7]Humyun Fuad Rahman, Ripon Kumar Chakrabortty, Michael J. Ryan:
An Effective Memetic Algorithm for Resource Constrained Project Scheduling Problem. CEC 2019: 2160-2166 - [c6]Mozhgan Pakdaman, Vahid Dokhtzeynal, Alireza Abbasi, Ripon Kumar Chakrabortty:
The Development of a Roadmap for Project Management Framework and Processes. IEEM 2019: 810-814 - [c5]Ripon Kumar Chakrabortty, Humyun Fuad Rahman, Huadong Mo, Michael J. Ryan:
Digital Twin-based Cyber Physical System for Sustainable Project Scheduling. IEEM 2019: 820-824 - [c4]Karam M. Sallam, Ripon Kumar Chakrabortty, Michael J. Ryan:
A Hybrid Differential Evolution with Cuckoo Search for Solving Resource Constrained Project Scheduling Problems. IEEM 2019: 1344-1348 - 2018
- [c3]Ripon Kumar Chakrabortty, Alireza Abbasi, Michael J. Ryan:
Robust Project Scheduling with Unreliable Resources: A Variable Neighbourhood Search Based Heuristic Approach. IEEM 2018: 656-660 - 2017
- [j3]Ripon Kumar Chakrabortty, Ruhul A. Sarker, Daryl Leslie Essam:
Resource constrained project scheduling with uncertain activity durations. Comput. Ind. Eng. 112: 537-550 (2017) - 2016
- [j2]Ripon Kumar Chakrabortty, Ruhul A. Sarker, Daryl Leslie Essam:
Multi-mode resource constrained project scheduling under resource disruptions. Comput. Chem. Eng. 88: 13-29 (2016) - [c2]Ripon Kumar Chakrabortty, Ruhul A. Sarker, Daryl Leslie Essam:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 75-86 - 2015
- [j1]Ripon Kumar Chakrabortty, Md. Ahsan Akhtar Hasin, Ruhul A. Sarker, Daryl Essam:
A possibilistic environment based particle swarm optimization for aggregate production planning. Comput. Ind. Eng. 88: 366-377 (2015) - 2014
- [c1]Ripon Kumar Chakrabortty, Ruhul Amin Sarker, Daryl Essam:
Event Based Approaches for Solving Multi-mode Resource Constraints Project Scheduling Problem. CISIM 2014: 375-386
Coauthor Index
aka: Mohammad Humyun Fuad Rahman
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