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Showing results 1 to 20 of 61
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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
2024-04
A viable supply chain model for managing panic-buying related challenges: lessons learned from the COVID-19 pandemic
Rahman, T
;
Paul, SK
;
Agarwal, R
;
Shukla, N
;
Taghikhah, F
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
2023-10-17
Cultivating Expertise: Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development with RDR
Omar, A
;
Beydoun, G
;
Win, K
;
Shukla, N
;
Jelinek, H
;
Elias, H
2023-08-15
Data-driven approaches to sustainable referral system design integrating the offline channel and the online channel
Wan, M
;
Shukla, N
;
Li, J
;
Pradhan, B
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
2023-12-31
Dynamic supply chain risk management plans for mitigating the impacts of the COVID-19 pandemic
Rahman, T
;
Paul, SK
;
Shukla, N
;
Agarwal, R
;
Taghikhah, F
2024-04-01
Explainable deep learning model for predicting money laundering transactions
Kute, DV
;
Pradhan, B
;
Shukla, N
;
Alamri, A