BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
A federal judge has ordered that Uncle Nearest be placed in receivership, after a lender claimed the company’s finances are in disarray. Uncle Nearest whiskey was named for Nearest Green, an enslaved ...
Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...
DES MOINES, Iowa — Barbara Miller, a Waterbury Neighborhood resident, posted signs around her neighborhood after she saw a 6-foot-long python in her backyard. Miller couldn’t believe her eyes when she ...
Add Yahoo as a preferred source to see more of our stories on Google. Browns hire Todd Monken + State of the NFC South & 2026 Draft lookahead (ft. J.J. Jansen & Austin Mock) ...
Des Moines resident warns neighbors after 6-foot python sighting WWE star Hulk Hogan’s cause of death revealed Why South Park Did an About-Face on Mocking Trump Woman loses husband to alcoholism, ...
Nearest neighbor search, also known as k-nearest neighbors (kNN), has become one of the essential backbones in machine learning and data mining tasks, particularly in multidimensional dynamic and ...
Abstract: In the multi-target tracking scenario, the nearest neighbor(NN) algorithm is the most commonly used method in the track association stage. By setting the tracking gate, the initial screening ...
A sophisticated cyber-espionage attack used by notorious Russian advanced persistent threat (APT) Fancy Bear at the outset of the current Russia-Ukraine war demonstrates a novel attack vector that a ...
Russian state hackers APT28 (Fancy Bear/Forest Blizzard/Sofacy) breached a U.S. company through its enterprise WiFi network while being thousands of miles away, by leveraging a novel technique called ...
In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and Linear ...