1. A cross-temporal hierarchical framework and deep learning for supply chain forecasting. (November 2020) Authors: Punia, Sushil; Singh, Surya P.; Madaan, Jitendra K. Journal: Computers & industrial engineering Issue: Volume 149(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Content analysis of literature on big data in smart cities. Issue 5 (8th November 2019) Authors: Tiwari, Pulkit; Ilavarasan, P. Vigneswara; Punia, Sushil Journal: Benchmarking Issue: Volume 28:Issue 5(2021) Page Start: 1837 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail. Issue 16 (17th August 2020) Authors: Punia, Sushil; Nikolopoulos, Konstantinos; Singh, Surya Prakash; Madaan, Jitendra K.; Litsiou, Konstantia Journal: International journal of production research Issue: Volume 58:Issue 16(2020) Page Start: 4964 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Deep learning-based container throughput forecasting: a triple bottom line approach. Issue 10 (22nd June 2021) Authors: Shankar, Sonali; Punia, Sushil; Ilavarasan, P. Vigneswara Journal: Industrial management & data systems Issue: Volume 121:Issue 10(2021) Page Start: 2100 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Forecast reconciliation in the temporal hierarchy: Special case of intermittent demand with obsolescence. (15th May 2023) Authors: Sanguri, Kamal; Patra, Sabyasachi; Punia, Sushil Journal: Expert systems with applications Issue: Volume 218(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Forecasting container throughput with long short-term memory networks. Issue 3 (4th December 2019) Authors: Shankar, Sonali; Ilavarasan, P. Vigneswara; Punia, Sushil; Singh, Surya Prakash Journal: Industrial management & data systems Issue: Volume 120:Issue 3(2020) Page Start: 425 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Forecasting container throughput with long short-term memory networks. Issue 3 (8th January 2020) Authors: Shankar, Sonali; Ilavarasan, P. Vigneswara; Punia, Sushil; Singh, Surya Prakash Journal: Industrial management & data systems Issue: Volume 120:Issue 3(2020) Page Start: 425 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations. (November 2022) Authors: Sanguri, Kamal; Shankar, Sonali; Punia, Sushil; Patra, Sabyasachi Journal: Computers & industrial engineering Issue: Volume 173(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Trajectory of research on maritime transportation in the era of digitization. Issue 1 (29th April 2021) Authors: Shankar, Sonali; Punia, Sushil; Singh, Surya Prakash; Dong, Jingxin Journal: Benchmarking Issue: Volume 29:Issue 1(2022) Page Start: 194 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗