Dr. Nagesh Shukla
Dr. Nagesh Shukla
Senior Lecturer at School of Information, Systems and Modelling, University of Technology Sydney
Verified email at uts.edu.au - Homepage
Title
Cited by
Cited by
Year
Social media data analytics to improve supply chain management in food industries
A Singh, N Shukla, N Mishra
Transportation Research Part E: Logistics and Transportation Reviews, 2018
1172018
Big data analytics and application for logistics and supply chain management
K Govindan, TCE Cheng, N Mishra, N Shukla
Transportation Research Part E: Logistics and Transportation Review 114, 343-349, 2018
1072018
Cloud computing technology: Reducing carbon footprint in beef supply chain
A Singh, N Mishra, SI Ali, N Shukla, R Shankar
International Journal of Production Economics 164, 462-471, 2015
792015
Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh
MA Moktadir, SM Ali, SK Paul, N Shukla
Computers & Industrial Engineering 128, 1063-1075, 2019
582019
Breast cancer data analysis for survivability studies and prediction
N Shukla, M Hagenbuchner, KT Win, J Yang
Computer Methods and Programs in Biomedicine, 2018
572018
Genetic-algorithms-based algorithm portfolio for inventory routing problem with stochastic demand
N Shukla, MK Tiwari, D Ceglarek
International Journal of Production Research 51 (1), 118-137, 2013
562013
Extending the supply chain to address sustainability
F Taghikhah, A Voinov, N Shukla
Journal of Cleaner Production 229, 652-666, 2019
462019
Algorithm portfolios for logistics optimization considering stochastic demands and mobility allowance
N Shukla, AK Choudhary, PKS Prakash, KJ Fernandes, MK Tiwari
International Journal of Production Economics 141 (1), 146-166, 2013
402013
A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration
N Shukla, S Kiridena
International Journal of Production Research, 2016
352016
A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework
A Ulutas, N Shukla, S Kiridena, P Gibson
International Journal of Production Research, dx.doi.org/10.1080/00207543 …, 2015
342015
COVID-19 Detection through Transfer Learning using Multimodal Imaging Data
Horry, Chakraborty, Paul, Ulhaq, Pradhan, Saha, Shukla
IEEE Access, doi: 10.1109/ACCESS.2020.3016780., 2020
292020
Key characteristics-based sensor distribution in multi-station assembly processes
N Shukla, D Ceglarek, MK Tiwari
Journal of intelligent manufacturing 26 (1), 43-58, 2015
252015
Improved workflow modelling using role activity diagram-based modelling with application to a radiology service case study
N Shukla, JE Keast, D Ceglarek
Computer methods and programs in biomedicine 116 (3), 274-298, 2014
252014
Modeling of CO emissions from traffic vehicles using artificial neural networks
OS Azeez, B Pradhan, HZM Shafri, N Shukla, CW Lee, HM Rizeei
Applied Sciences 9 (2), 313, 2019
212019
Optimal design of fixture layout in a multi-station assembly using highly optimized tolerance inspired heuristic
S Tyagi, N Shukla, S Kulkarni
Applied Mathematical Modelling, 2016
212016
Deep learning approaches applied to remote sensing datasets for road extraction: A state-of-the-art review
A Abdollahi, B Pradhan, N Shukla, S Chakraborty, A Alamri
Remote Sensing 12 (9), 1444, 2020
202020
Half a century of Computer Methods and Programs in Biomedicine: A bibliometric analysis from 1970 - 2017
N Shukla, JM Merigó, T Lammers, L Miranda
Computer Methods and Programs in Biomedicine, 2020
202020
Next Generation Smart Manufacturing and Service Systems using Big Data Analytics
N Shukla, MK Tiwari, G Beydoun
Computers & Industrial Engineering, 2019
202019
Integrated model for the batch sequencing problem in a multi-stage supply chain: an artificial immune system based approach
M Shukla, N Shukla, MK Tiwari, FTS Chan
International Journal of Production Research 47 (4), 1015-1037, 2009
192009
X-Ray Image based COVID-19 Detection using Pre-trained Deep Learning Models
MJ Horry, S Chakraborty, M Paul, A Ulhaq, B Pradhan, M Saha, N Shukla
engrXiv, 2020
182020
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