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: In edge computing, energy-limited distributed edge clients present challenges such as heterogeneity, high energy consumption, and security risks. Traditional blockchain-based federated ...
The plaintiff, a 19-year-old Californian known by her initials, K.G.M., claims that years of using Instagram, TikTok, YouTube ...
Discover how casino loyalty programs really work, how player tracking algorithms calculate your ADT and theoretical value, and why comps aren’t based on losses.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results