Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
Abstract: Recently, developed data-driven SINDy-based techniques can identify the dynamic model of serial robots without simplifying assumptions nor pre-knowledge of all kinematics and geometric ...
AI data center expansion is facing increasing local opposition over power, infrastructure and costs, echoing the resistance that once slowed Bitcoin mining. For years, Bitcoin miners expanding across ...
The technical failure coincided with TikTok’s ownership transition, leading users to question whether videos criticizing ICE raids in Minnesota were being intentionally censored. TikTok is currently ...
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