Improved and generalized learning strategies for dynamically fast and statistically robust evolutionary algorithms. - Yogesh Dashora; Sanjeev Kumar; Nagesh Shukla; M. K. Tiwari (Eng. Appl. Artif. Intell., 2008)

Vehicle routing problem with stochastic demand (VRPSD): optimisation by neighbourhood search embedded adaptive ant algorithm (ns-AAA). - M. R. Nagalakshmi; Mukul Tripathi; Nagesh Shukla; Manoj Kumar Tiwari (Int. J. Comput. Aided Eng. Technol., 2009)

Hybrid agent based simulation with adaptive learning of travel mode choices for university commuters (WIP). - Nagesh Shukla; Albert Munoz; Jun Ma; Nam Huynh (SpringSim (TMS-DEVS), 2013)

Improved workflow modelling using role activity diagram-based modelling with application to a radiology service case study. - Nagesh Shukla; John E. Keast; Darek Ceglarek (Comput. Methods Programs Biomed., 2014)

Stochastic modelling and optimisation of multi-plant capacity planning problem. - Anoop Verma; Nagesh Shukla; Satish K. Tyagi; Nishikant Mishra (Int. J. Intell. Eng. Informatics, 2014)

An approach to plan and evaluate the location of radiotherapy services and its application in the New South Wales, Australia. - Nagesh Shukla; Rohan Wickramasuriya; Andrew Miller; Pascal Perez (Comput. Methods Programs Biomed., 2015)

Key characteristics-based sensor distribution in multi-station assembly processes. - Nagesh Shukla; Dariusz Ceglarek; Manoj Kumar Tiwari (J. Intell. Manuf., 2015)

Individual-Level Simulation Model For Cost Benefit Analysis In Healthcare. - Nagesh Shukla; Vu Lam Cao; Van Hoang Phuong; Marian Shanahan; Allison Ritter; Pascal Perez (ECMS, 2016)

Multiple order-up-to policy for mitigating bullwhip effect in supply chain network. - Anupam Keshari; Nishikant Mishra; Nagesh Shukla; Steve McGuire; Sangeeta Khorana (Ann. Oper. Res., 2018)

Breast cancer data analysis for survivability studies and prediction. - Nagesh Shukla; Markus Hagenbuchner; Khin Than Win; Jie (Jack) Yang (Comput. Methods Programs Biomed., 2018)

Solving closed-loop supply chain problems using game theoretic particle swarm optimisation. - Kalpit Patne; Nagesh Shukla; Senevi B. Kiridena; Manoj Kumar Tiwari (Int. J. Prod. Res., 2018)

Socio-Technical Perspective on Managing Type II Diabetes. - Adel Omar; Ghassan Beydoun; Khin Than Win; Nagesh Shukla (ACIS, 2019)

Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh. - Md. Abdul Moktadir; Syed Mithun Ali; Sanjoy Kumar Paul; Nagesh Shukla (Comput. Ind. Eng., 2019)

Next generation smart manufacturing and service systems using big data analytics. - Nagesh Shukla; Manoj Kumar Tiwari; Ghassan Beydoun (Comput. Ind. Eng., 2019)

Modelling the Impact of COVID-19 Pandemic on a Hardware Retail Supply Chain. - Abhishek Sathyanarayana; Nagesh Shukla; Firouzeh Taghikhah (IEEM, 2020)

COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data. - Michael J. Horry; Subrata Chakraborty; Manoranjan Paul; Anwaar Ulhaq; Biswajeet Pradhan; Manas Saha; Nagesh Shukla (IEEE Access, 2020)

A genetic column generation algorithm for sustainable spare part delivery: application to the Sydney DropPoint network. - Michelle Dunbar; Simon Belieres; Nagesh Shukla; Mehrdad Amirghasemi; Pascal Perez; Nishikant Mishra (Ann. Oper. Res., 2020)

Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. - Nagesh Shukla; José M. Merigó; Thorsten Lammers; Luis Miranda (Comput. Methods Programs Biomed., 2020)

Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review. - Abolfazl Abdollahi; Biswajeet Pradhan; Nagesh Shukla; Subrata Chakraborty; Abdullah M. Alamri (Remote. Sens., 2020)

Predicting Dengue Fever Transmission Using Machine Learning Methods. - Ali Siddiq; Nagesh Shukla; Biswajeet Pradhan (IEEM, 2021)

Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering-A Critical Review. - Dattatray Vishnu Kute; Biswajeet Pradhan; Nagesh Shukla; Abdullah M. Alamri (IEEE Access, 2021)

An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic. - Towfique Rahman; Firouzeh Taghikhah; Sanjoy Kumar Paul; Nagesh Shukla; Renu Agarwal (Comput. Ind. Eng., 2021)

Integrated modeling of extended agro-food supply chains: A systems approach. - Firouzeh Taghikhah; Alexey A. Voinov; Nagesh Shukla; Tatiana Filatova; Mikhail Anufriev (Eur. J. Oper. Res., 2021)

Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data. - Abolfazl Abdollahi; Biswajeet Pradhan; Nagesh Shukla; Subrata Chakraborty; Abdullah M. Alamri (Remote. Sens., 2021)

Supply chain resilience initiatives and strategies: A systematic review. - Towfique Rahman; Sanjoy Kumar Paul; Nagesh Shukla; Renu Agarwal; Firouzeh Taghikhah (Comput. Ind. Eng., 2022)

2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips. - Michael James Horry; Subrata Chakraborty; Biswajeet Pradhan; Nagesh Shukla; Sanjoy Kumar Paul (CoRR, 2022)

Multiagent Optimization Approach to Supply Network Configuration Problems With Varied Product-Market Profiles. - Subodha Dharmapriya; Senevi B. Kiridena; Nagesh Shukla (IEEE Trans. Engineering Management, 2022)

Cultivating Expertise: Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development: Ripple Down Rules or Machine Learning. - Adel Omar; Ghassan Beydoun; Khin Than Win; Nagesh Shukla; Herbert F. Jelinek; Hector Elias (ACIS, 2023)

Optimization of teleconsultation appointment scheduling in National Telemedicine Center of China. - Mingshi Wan; Nagesh Shukla; Jinlin Li; Biswajeet Pradhan (Comput. Ind. Eng., 2023)

A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers. - Alptekin Ulutas; Senevi B. Kiridena; Nagesh Shukla; Ayse Topal (Axioms, 2023)

A viable supply chain model for managing panic-buying related challenges: lessons learned from the COVID-19 pandemic. - Towfique Rahman; Sanjoy Kumar Paul; Renu Agarwal; Nagesh Shukla; Firouzeh Taghikhah (Int. J. Prod. Res., 2024)