Dr. Nagesh Shukla
Dr. Nagesh Shukla
Associate Professor
Geverifieerd e-mailadres voor griffith.edu.au
Geciteerd door
Geciteerd door
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
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
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
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
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
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
Breast cancer data analysis for survivability studies and prediction
N Shukla, M Hagenbuchner, KT Win, J Yang
Computer Methods and Programs in Biomedicine, 2018
Extending the supply chain to address sustainability
F Taghikhah, A Voinov, N Shukla
Journal of cleaner production 229, 652-666, 2019
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
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
An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic
T Rahman, F Taghikhah, SK Paul, N Shukla, R Agarwal
Computers & Industrial Engineering 158, 107401, 2021
A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration
N Shukla, S Kiridena
International Journal of Production Research, 2016
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
Next Generation Smart Manufacturing and Service Systems using Big Data Analytics
N Shukla, MK Tiwari, G Beydoun
Computers & Industrial Engineering, 2019
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
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
Integrated modeling of extended agro-food supply chains: A systems approach
F Taghikhah, A Voinov, N Shukla, T Filatova, M Anufriev
European Journal of Operational Research, 2020
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
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
A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
VP Hoang, M Shanahan, N Shukla, P Perez, M Farrell, A Ritter
BMC Health Services Research 16 (127), 1-14, 2016
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Artikelen 1–20