Abstract: In this paper, the distributed optimization problem of a class of continuous time multi-agent systems with linear dynamics with unknown parameters is studied. Considering a given global ...
Abstract: Competitive swarm optimizer (CSO) is an efficient and effective swarm intelligence approach, especially for large-scale optimization. This paper presents an enhanced version of CSO termed ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Aquila will integrate Samba TV’s streaming viewership data with digital exposures from partners like Google, Meta, Amazon, and TikTok to provide true cross-platform measurementSAN FRANCISCO, Oct. 21, ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
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