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| Issue Date | Title | Author(s) |
| 2016 | A data-driven predictive model for residential mobility in Australia - a generalised linear mixed model for repeated measured binary data | Namazi-Rad, M; Mokhtarian, P; Shukla, N; Munoz, A |
| 2016 | A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration | Shukla, N; Kiridena, S |
| 2022-05-01 | A novel characterization based framework to incorporate industrial energy management services | Monjurul Hasan, ASM; Trianni, A; Shukla, N; Katic, M |
| 2020-06-08 | A Review of Models Used for Investigating Barriers to Healthcare Access in Australia. | Shukla, N; Pradhan, B; Dikshit, A; Chakraborty, S; Alamri, AM |
| 2016 | A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework | Ulutas, A; Shukla, N; Kiridena, S; Gibson, P |
| 2021-05 | An Agent-Based Model for Supply Chain Recovery in the Wake of the COVID-19 Pandemic | Rahman, T; Taghikhah, F; Paul, S; Shukla, N; Agarwal, R |
| 2021-09-01 | An optimization tool for production planning: A case study in a textile industry | Ferro, R; Cordeiro, GA; Ordóñez, REC; Beydoun, G; Shukla, N |
| 2015-04-22 | Applying a novel combination of techniques to develop a predictive model for diabetes complications | Sangi, M; Win, KT; Shirvani, F; Namazi-Rad, MR; Shukla, N |
| 2019-02-01 | Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh | Moktadir, MA; Ali, SM; Paul, SK; Shukla, N |
| 2018-06-01 | Big data analytics and application for logistics and supply chain management | Govindan, K; Cheng, TCE; Mishra, N; Shukla, N |
| 2018-03-01 | Breast cancer data analysis for survivability studies and prediction | Shukla, N; Hagenbuchner, M; Win, KT; Yang, J |
| 2016 | Building a microsimulation model of heroin use careers in Australia | Ritter, A; Shukla, N; Shanahan, M; Phuong, VH; Cao, VL; Perez, P; Farrell, M |
| 2020 | COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data | Horry, MJ; Chakraborty, S; Paul, M; Ulhaq, A; Pradhan, B; Saha, M; Shukla, N |
| 2021-01-01 | Deep learning and explainable artificial intelligence techniques applied for detecting money laundering – a critical review | Kute, DV; Pradhan, B; Shukla, N; Alamri, A |
| - | Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review | Abdollahi, A; Pradhan, B; Shukla, N; Chakraborty, S; Alamri, A |
| 2020-07 | Exploring consumer behavior and policy options in organic food adoption: Insights from the Australian wine sector | Taghikhah, F; Voinov, A; Shukla, N; Filatova, T |
| 2019-08-20 | Extending the supply chain to address sustainability | Taghikhah, F; Voinov, A; Shukla, N |
| 2019-07-03 | Extraction of road features from UAV images using a novel level set segmentation approach | Abdollahi, A; Pradhan, B; Shukla, N |
| 2018-06-01 | A genetic column generation algorithm for sustainable spare part delivery: application to the Sydney DropPoint network | Dunbar, M; Belieres, S; Shukla, N; Amirghasemi, M; Perez, P; Mishra, N |
| 2020-01-01 | Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017 | Shukla, N; Merigó, JM; Lammers, T; Miranda, L |
