Abstract: Random forests are a machine learning method used to automatically classify datasets and consist of a multitude of decision trees. While these random forests often have higher performance ...
This repository contains meal timing data from 459 Mexican university students and implements 4 clustering methods to identify chrononutrition patterns: . ├── data/ │ ├── chrono_patterns_n459.csv # ...
CHANGSHA, China Dec. 5, 2025 /PRNewswire=YONHAP/ -- Zoomlion Heavy Industry Science & Technology Co., Ltd. ("Zoomlion"; 1157.HK) was named one of the first 15 industry-leading smart factories at the ...
CHANGSHA, China, Dec. 5, 2025 /PRNewswire/ -- Zoomlion Heavy Industry Science & Technology Co., Ltd. ("Zoomlion"; 1157.HK) was named one of the first 15 industry-leading smart factories at the 2025 ...
Dedicated AWS AI infrastructure deployed in customers’ existing data centers helps organizations rapidly develop and deploy AI applications at scale. As governments and large organizations seek to ...
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, ...
For the hundreds of communities who’ve been saddled with data centers in recent years, the bulky fixtures are sources of unbearable noise, soaring energy prices, and plenty of electrical fires. Add ...
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