The food robotics market offers significant opportunities, driven by the integration of advanced robotics in culinary ...
Amid rapidly evolving media consumption habits and a federal push to limit direct-to-consumer drug advertising, pharma companies in 2026 and beyond are on track to continue their migration away from ...
Abstract: Multivariate time series prediction has significant practical applications in the fields of finance, electricity and transportation. However, due to the characteristics of high ...
Retailers struggle with inventory management - overstocking ties up capital, understocking loses sales. Manual forecasting is inaccurate. Seasonal demand is unpredictable. Stockouts damage customer ...
Financial services need a multilayered approach to catching security risks such as unsecured Microsoft Excel files, due to CFOs continued reliance upon them. That approach should include implementing ...
Global linear TV advertising will continue its downward trend -- sinking 11.3% to $139.1 billion in 2026 from $143.9 billion this year, according to the World Advertising Research Center (WARC). The ...
Abstract: Spatio-temporal neural networks have achieved remarkable success in traffic forecasting by modeling complex temporal dynamics and spatial correlations. These advances are largely due to the ...
ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...
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