Brands can challenge Meta’s automation by surfacing product-level trends, aligning them with purchase behavior, and ...
Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform ...
Social media algorithms change constantly, making it hard to maintain consistent reach and engagement. This article breaks ...
Academy of Art and Design, Yancheng Teachers University, Yancheng, China Introduction: With the acceleration of global aging, the accurate prediction of care service demand for older adults is of ...
1 School of Mines, Hydraulic and Energy, Denis Sassou-N’guesso University, Brazzaville, Republic of Congo. 2 Laboratory of Mechanics, Energy and Engineering, Higher National Polytechnic School, Marien ...
Winners & losers: As Black Friday deals flashed across screens in New York this year, some shoppers saw something new beneath the price tag: a short, blunt line of text. "This price was set by an ...
Assistant Professor Siddharth Deshpande and PhD student Snehitha Srirangam use data visualizations to reveal what happens on an atomic level when catalysts convert shale gas into polypropylene. The ...
New Yorkers got a little more visibility this week into when apps like Uber and DoorDash use algorithms to set prices. The state's Algorithmic Pricing Disclosure Act took effect on Monday. Under the ...
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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...
Abstract: Deep learning models are widely used in data-driven applications due to their high predictive performance, but their lack of interpretability limits their applicability in domains requiring ...