E-LIB Suche - Ergebnisse für: Punia, Sushil

1

Forecasting and planning for a critical infrastructure sect..:

Aljuneidi, Tariq ; Punia, Sushil ; Jebali, Aida.
European Journal of Operational Research. 317 (2024) 3 - p. 936-952 , 2024

Link: https://doi.org/10.1016/..

2

Forecast reconciliation in the temporal hierarchy: Special ..:

Sanguri, Kamal ; Patra, Sabyasachi ; Punia, Sushil
Expert Systems with Applications. 218 (2023) - p. 119566 , 2023

Link: https://doi.org/10.1016/..

3

Intermittent demand, inventory obsolescence, and temporal a..:

Sanguri, Kamal ; Patra, Sabyasachi ; Nikolopoulos, Konstantinos.
International Journal of Production Research. 62 (2023) 5 - p. 1663-1685 , 2023

Link: https://doi.org/10.1080/..

4

Predictive analytics for demand forecasting: A deep learnin..:

Punia, Sushil ; Shankar, Sonali
Knowledge-Based Systems. 258 (2022) - p. 109956 , 2022

Link: https://doi.org/10.1016/..

5

Hierarchical container throughput forecasting: The value of..:

Sanguri, Kamal ; Shankar, Sonali ; Punia, Sushil.
Computers & Industrial Engineering. 173 (2022) - p. 108651 , 2022

Link: https://doi.org/10.1016/..

6

Forecasting and planning during a pandemic: COVID-19 growth..:

Nikolopoulos, Konstantinos ; Punia, Sushil ; Schäfers, Andreas..
European Journal of Operational Research. 290 (2021) 1 - p. 99-115 , 2021

Link: https://doi.org/10.1016/..

7

A cross-temporal hierarchical framework and deep learning f..:

Punia, Sushil ; Singh, Surya P. ; Madaan, Jitendra K.
Computers & Industrial Engineering. 149 (2020) - p. 106796 , 2020

Link: https://doi.org/10.1016/..

8

Deep learning with long short-term memory networks and rand..:

Punia, Sushil ; Nikolopoulos, Konstantinos ; Singh, Surya Prakash..
International Journal of Production Research. 58 (2020) 16 - p. 4964-4979 , 2020

Link: https://doi.org/10.1080/..

9

From predictive to prescriptive analytics: A data-driven mu..:

Punia, Sushil ; Singh, Surya Prakash ; Madaan, Jitendra K.
Decision Support Systems. 136 (2020) - p. 113340 , 2020

Link: https://doi.org/10.1016/..

10

Forecasting container throughput with long short-term memor..:

Shankar, Sonali ; Ilavarasan, P. Vigneswara ; Punia, Sushil.
Industrial Management & Data Systems. 120 (2019) 3 - p. 425-441 , 2019

Link: https://doi.org/10.1108/..

11

Content analysis of literature on big data in smart cities:

Tiwari, Pulkit ; Ilavarasan, P. Vigneswara ; Punia, Sushil
Benchmarking: An International Journal. 28 (2019) 5 - p. 1837-1857 , 2019

Link: https://doi.org/10.1108/..

12

Intermittent demand, inventory obsolescence, and temporal a..:

Sanguri, Kamal ; Patra, Sabyasachi ; Nikolopoulos, Konstantinos.
dro:38218. , 2023

Link: http://dro.dur.ac.uk/382..

13

Deep learning with long short-term memory networks and rand..:

Punia, Sushil ; Nikolopoulos, Konstantinos ; Singh, Surya Prakash..
https://e-space.mmu.ac.uk/625196/. , 2020

Link: https://e-space.mmu.ac.u..

14

Forecasting and planning during a pandemic : COVID-19 growt..:

Nikolopoulos, Konstantinos ; Punia, Sushil ; Schäfers, Andreas..
dro:31447. , 2020

Link: http://dro.dur.ac.uk/314..

15

Deep learning with long short-term memory networks and rand..:

Punia, Sushil ; Nikolopoulos, Kostas ; Prakash Singh, Surya..
Punia , S , Nikolopoulos , K , Prakash Singh , S , Madaan , J K & Litsiou , K 2020 , ' Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail ' , International Journal of Production Research , vol. 58 , no. 16 , pp. 4964-4979 . https://doi.org/10.1080/00207543.2020.1735666. , 2020

Link: https://research.bangor...