The background of this study addresses the persistent challenges in traditional inventory management systems, which often suffer from demand uncertainty, stockouts, and excess holding costs in dynamic retail supply chains. This research leverages the Retail Store Inventory Forecasting Dataset (a publicly available Kagg...
Shubhrit Awasthi, Deepak Saroha, Prakash Mishra et al.· International Conference Inn...· 0 citations
The results presented in this study show promising potential to integrate into a driver-assistance system, although the data used here is limited to a proof-of-concept validation on the KITTI dataset.
Amit Pimpalkar, Pranali Dandekar, Harika Vanam et al.· Scientific Reports· 0 citations
This work develops a mathematically robust framework of deep optimization with multiple objectives to ensure equity is maintained and carried forward across the tutoring lifecycle and achieves up to 67% lower learning gain disparity and 56% greater stability of dispersion in learning-gap distributions.
A. Khan, Amit Pimpalkar, Tabassum H. Khan et al.· Scientific Reports· 0 citations
The proposed BlockE2T-MORL offers a scalable, privacy-preserving, and computationally lightweight solution for next-generation intelligent path planning in cloud-based autonomous systems.
Revati Raman Dewangan, D. Thombre, Vivek Parganiha et al.· Scientific Reports· 0 citations
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