Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
Abstract: Fingerprint-based indoor localization is often labor-intensive due to the need for dense grids and repeated measurements across time and space. Maintaining high localization accuracy with ...
Abstract: Recently, advances in single-cell sequencing (scRNAseq) technology have enabled large-scale transcriptome analysis with high efficiency and single-cell resolution. Clustering in scRNA-seq is ...
Jēnna Reese is CEO of Connect Centric, a D.C.-based firm that helps Fortune 500s and large nonprofits execute technology initiatives. In the race to modernize with AI, a new kind of risk is quietly ...
STG-DMD (Sparse-Coded Time-Delay Graph Dynamic Mode Decomposition) is a data-driven framework for modeling nonlinear dynamics on graph structures. It integrates: StgDmd/ ├── code/ │ ├── artificial/ │ ...
ABSTRACT: This paper applies the novel adaptive learning methodology to forecast agricultural and energy prices in Greece’s volatile, data-scarce markets. We combine traditional ordinary least squares ...
All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...
The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...
Chinese artificial intelligence startup DeepSeek has published breakthrough research findings on enhancing AI model efficiency in processing large-scale data. Sources indicate that the company is ...
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