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 ...
From Taylor Swift and Harry Styles to Zendaya – young people are quick to obsess over celebrities who combine endless talent ...
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 ...
Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing ...
The content recommendation algorithm that powers the online short video platform TikTok has once again come under the ...
Abstract: Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving multiple decision makers (DMs), which are prevalent in many practical applications ...
Meta's work made headlines and raised a possibility once considered pure fantasy: that AI could soon outperform the world's best mathematicians by cracking math's marquee "unsolvable" problems en ...
Starches are Alicia’s secret weapons. They bulk up meals, keep bellies full, and make leftovers feel brand new. “Rice, pastas ...
When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
The digital section artists arrived at Art Basel with their legitimacy already established through peer-to-peer platforms, ...
The Markup reports on the critical need for organ donation, highlighting personal stories, myths, and ongoing disparities in ...
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