Abstract: Near-duplicate human motion classification presents significant challenges due to the subtle differences and high similarity between actions. This paper introduces a posture estimation-based ...
Closed Loop Fracturing at scale enables unprecedented efficiencies, and performance optimization driven by live data interpolation and preconfigured decision trees. WILLOW PARK, Texas, Aug. 18, 2025 ...
Tesla just added full Robotaxi functionality in the latest app update—quietly prepping for launch next month. There is the need for Tesla to launch Supervised and unsupervised ridesharing in June in ...
Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...
ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
Abstract: Circulating tumor cell (CTC) detection is crucial for reducing cancer mortality and disease burden. Traditional methods rely on the physical or biological properties of CTCs and involve ...
Objective: This study aims to develop an unsupervised automated method for detecting high-frequency oscillations (HFOs) in intracranial electroencephalogram (iEEG) signals, addressing the limitations ...
Department of Information Systems, College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia. Therefore, further exploration is vital to discover a complete set of risk ...
This jupyter notebook tutorial is meant to be a general introduction to machine and deep learning. We use seismic time series data from i) real earthquakes and ii) nuisance signals to train a suite of ...
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