Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Abstract: This paper presents a study on the prediction of cargo volumes in 57 logistics sorting centers using the ARIMA-LSTM forecasting algorithm. The primary objective is to forecast the volume of ...
That gives founders a chance to unplug and catch up on their reading. The right book for you depends on your interests, your tastes, and your mood. But with so many options on shelves, where should ...
Abstract: This article proposes a low-complexity maximum likelihood sequence estimation (MLSE) algorithm tailored for non-return-to-zero (NRZ) high-speed transceivers. In particle physics experiments, ...
The content recommendation algorithm that powers the online short video platform TikTok has once again come under the ...
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Gig drivers vs. giant orders: When the delivery doesn't fit
Let’s get real for one second. Many of us have lain on the couch, phone in hand, and ordered things online without really ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
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