The People's Liberation Army revealed its latest drone swarm tech with 200 units that's resistant to jamming, can make ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript Jack Conte, the chief executive of Patreon, a platform for creators to monetize their art and content, outlines his ...
ABSTRACT: Objective: To investigate the expression characteristics, clinical significance, and immune regulatory mechanisms of colony stimulating factor receptor α (CSF2RA) in gastric cancer (GC) ...
Background: Sarcopenia associated with systemic sclerosis (SSc) significantly compromises patient prognosis and quality of life. However, reliable diagnostic biomarkers remain lacking. This study ...
Understanding how mature the organic matter is within sedimentary rocks helps geoscientists to assess whether a formation has generated hydrocarbons. Traditionally, this is done by measuring vitrinite ...
Abstract: This paper employs artificial intelligence and machine learning techniques to predict the dominant oscillation modes in AC microgrids. The dominant modes are highly dependent on the droop ...
Hi @tobias-fritz, I'm the lead developer for skglm and as such am quite itnerested in benchmarking sparse solvers. I was wondering if you had tried to do the same CPU/GPU benchmark for block ...
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