Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that groups image pixels with similar features into distinct clusters. Among various approaches, contrastive ...

The following is a list of the 10 biggest mining companies by trailing 12-month (TTM) revenue. 1 Some companies outside the ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

“In terms of AI data centers in Asia, the biggest ‘golden triangle’ we are looking at would be Johor, Singapore, and Batam,” ...

CleanSpark (CLSK) pivots from Bitcoin mining to AI data centers—boosting cash flow and revenue potential. Read more analysis ...

Proponents say compiling personal information in a single database is more efficient. But critics fear risks to privacy.

Abstract: Educational Data Mining (EDM) is the application of data mining methods in the educational domain. In the EDM field, we see mixed data (i.e., text and number data types). Grouping or ...

The amount of capital pouring into AI data center projects is staggering. Last week, Microsoft, Alphabet, Meta, and Amazon reported their 2025 capital expenditures would total roughly $370 billion, ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

The timing couldn't be better. OpenAI, SoftBank and partners just unveiled a $400 billion Stargate data center initiative spanning nearly 7 GW, with two of its newest Texas sites landing right next to ...

Objective: This study analyzes university students’ physical fitness and, based on the results, applies cluster analysis to identify homogeneous groups with aim to optimize physical education programs ...

Background The way that data are presented can influence quality and safety initiatives. Time-series charts highlight changes but do not clarify whether data lie outside expected variation.