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ORCIDNagesh Shukla
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2020 – today
- 2024
[j24]Towfique Rahman, Sanjoy Kumar Paul, Renu Agarwal, Nagesh Shukla, Firouzeh Taghikhah
:
A viable supply chain model for managing panic-buying related challenges: lessons learned from the COVID-19 pandemic. Int. J. Prod. Res. 62(10): 3415-3434 (2024)- 2023
- [j23]Alptekin Ulutas, Senevi B. Kiridena, Nagesh Shukla, Ayse Topal:
A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers. Axioms 12(12): 1070 (2023) - [j22]Mingshi Wan, Nagesh Shukla, Jinlin Li, Biswajeet Pradhan:
Optimization of teleconsultation appointment scheduling in National Telemedicine Center of China. Comput. Ind. Eng. 183: 109492 (2023) - [c6]Adel Omar, Ghassan Beydoun, Khin Than Win, Nagesh Shukla, Herbert F. Jelinek, Hector Elias:
Cultivating Expertise: Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development: Ripple Down Rules or Machine Learning. ACIS 2023 - 2022
- [j21]Towfique Rahman, Sanjoy Kumar Paul, Nagesh Shukla, Renu Agarwal, Firouzeh Taghikhah:
Supply chain resilience initiatives and strategies: A systematic review. Comput. Ind. Eng. 170: 108317 (2022) - [j20]Subodha Dharmapriya, Senevi B. Kiridena, Nagesh Shukla:
Multiagent Optimization Approach to Supply Network Configuration Problems With Varied Product-Market Profiles. IEEE Trans. Engineering Management 69(6): 2707-2722 (2022) - [i1]Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Nagesh Shukla, Sanjoy Kumar Paul:
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips. CoRR abs/2203.08267 (2022) - 2021
- [j19]Dattatray Vishnu Kute, Biswajeet Pradhan, Nagesh Shukla, Abdullah M. Alamri:
Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering-A Critical Review. IEEE Access 9: 82300-82317 (2021) - [j18]Towfique Rahman, Firouzeh Taghikhah, Sanjoy Kumar Paul, Nagesh Shukla, Renu Agarwal:
An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic. Comput. Ind. Eng. 158: 107401 (2021) - [j17]Firouzeh Taghikhah, Alexey A. Voinov, Nagesh Shukla, Tatiana Filatova, Mikhail Anufriev:
Integrated modeling of extended agro-food supply chains: A systems approach. Eur. J. Oper. Res. 288(3): 852-868 (2021) - [j16]Abolfazl Abdollahi, Biswajeet Pradhan, Nagesh Shukla, Subrata Chakraborty, Abdullah M. Alamri:
Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data. Remote. Sens. 13(18): 3710 (2021) - [c5]Ali Siddiq, Nagesh Shukla, Biswajeet Pradhan:
Predicting Dengue Fever Transmission Using Machine Learning Methods. IEEM 2021: 21-26 - 2020
- [j15]Michael J. Horry, Subrata Chakraborty, Manoranjan Paul, Anwaar Ulhaq, Biswajeet Pradhan, Manas Saha, Nagesh Shukla:
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data. IEEE Access 8: 149808-149824 (2020) - [j14]Michelle Dunbar, Simon Belieres, Nagesh Shukla, Mehrdad Amirghasemi, Pascal Perez, Nishikant Mishra:
A genetic column generation algorithm for sustainable spare part delivery: application to the Sydney DropPoint network. Ann. Oper. Res. 290(1): 923-941 (2020) - [j13]Nagesh Shukla, José M. Merigó, Thorsten Lammers, Luis Miranda:
Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. Comput. Methods Programs Biomed. 183 (2020) - [j12]Abolfazl Abdollahi, Biswajeet Pradhan, Nagesh Shukla, Subrata Chakraborty, Abdullah M. Alamri:
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review. Remote. Sens. 12(9): 1444 (2020) - [c4]Abhishek Sathyanarayana, Nagesh Shukla, Firouzeh Taghikhah:
Modelling the Impact of COVID-19 Pandemic on a Hardware Retail Supply Chain. IEEM 2020: 807-811
2010 – 2019
- 2019
- [j11]Nagesh Shukla, Manoj Kumar Tiwari, Ghassan Beydoun:
Next generation smart manufacturing and service systems using big data analytics. Comput. Ind. Eng. 128: 905-910 (2019) - [j10]Md. Abdul Moktadir, Syed Mithun Ali, Sanjoy Kumar Paul, Nagesh Shukla:
Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh. Comput. Ind. Eng. 128: 1063-1075 (2019) - [c3]Adel Omar, Ghassan Beydoun, Khin Than Win, Nagesh Shukla:
Socio-Technical Perspective on Managing Type II Diabetes. ACIS 2019: 89 - 2018
- [j9]Anupam Keshari, Nishikant Mishra, Nagesh Shukla, Steve McGuire, Sangeeta Khorana:
Multiple order-up-to policy for mitigating bullwhip effect in supply chain network. Ann. Oper. Res. 269(1-2): 361-386 (2018) - [j8]Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang:
Breast cancer data analysis for survivability studies and prediction. Comput. Methods Programs Biomed. 155: 199-208 (2018) - [j7]Kalpit Patne, Nagesh Shukla, Senevi B. Kiridena, Manoj Kumar Tiwari:
Solving closed-loop supply chain problems using game theoretic particle swarm optimisation. Int. J. Prod. Res. 56(17): 5836-5853 (2018) - 2016
- [c2]Nagesh Shukla, Vu Lam Cao, Van Hoang Phuong, Marian Shanahan, Allison Ritter, Pascal Perez:
Individual-Level Simulation Model For Cost Benefit Analysis In Healthcare. ECMS 2016: 138-144 - 2015
- [j6]Nagesh Shukla, Rohan Wickramasuriya, Andrew Miller, Pascal Perez:
An approach to plan and evaluate the location of radiotherapy services and its application in the New South Wales, Australia. Comput. Methods Programs Biomed. 122(2): 245-256 (2015) - [j5]Nagesh Shukla, Dariusz Ceglarek, Manoj Kumar Tiwari:
Key characteristics-based sensor distribution in multi-station assembly processes. J. Intell. Manuf. 26(1): 43-58 (2015) - 2014
- [j4]Nagesh Shukla, John E. Keast, Darek Ceglarek:
Improved workflow modelling using role activity diagram-based modelling with application to a radiology service case study. Comput. Methods Programs Biomed. 116(3): 274-298 (2014) - [j3]Anoop Verma, Nagesh Shukla, Satish K. Tyagi, Nishikant Mishra:
Stochastic modelling and optimisation of multi-plant capacity planning problem. Int. J. Intell. Eng. Informatics 2(2/3): 139-165 (2014) - 2013
- [c1]Nagesh Shukla, Albert Munoz, Jun Ma, Nam Huynh:
Hybrid agent based simulation with adaptive learning of travel mode choices for university commuters (WIP). SpringSim (TMS-DEVS) 2013: 2
2000 – 2009
- 2009
- [j2]M. R. Nagalakshmi, Mukul Tripathi, Nagesh Shukla, Manoj Kumar Tiwari:
Vehicle routing problem with stochastic demand (VRPSD): optimisation by neighbourhood search embedded adaptive ant algorithm (ns-AAA). Int. J. Comput. Aided Eng. Technol. 1(3): 300-321 (2009) - 2008
- [j1]Yogesh Dashora, Sanjeev Kumar, Nagesh Shukla, M. K. Tiwari:
Improved and generalized learning strategies for dynamically fast and statistically robust evolutionary algorithms. Eng. Appl. Artif. Intell. 21(4): 525-547 (2008)
Coauthor Index
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