Since higher-order tensors are naturally suitable for representing multi-dimensional data in real-world, e.g., color images and videos, low-rank tensor representation has become one of the emerging ...

The last census was held in 2011, the next is scheduled for 2027. What may have fallen through that gaping chasm, and what ...

The topics covered include data representation, sample statistics, probability, common discrete and continuous distribution, confidence interval estimation, experimental design, analysis of variance, ...

Two students discuss the impact of India's population census on business projects, market research, and government policies.

Having just read the May 28 issue of the Saanich News, "Saanich survey shows dip in satisfaction", it appalls me that the mayor and one councillor have determined the number of respondents in the ...

The 2024 election was the first in two decades that saw a Republican popular vote victory. The trends since then illustrate extreme changes in the two parties in that time.

DOGE's murky push to amass data at federal agencies could hurt the U.S. government's ability to produce reliable census results, economic indicators and other statistics in the future, experts warn.

Since there are differences in the natural frequency of various synthetic aperture radar (SAR) target samples in reality, the problem of imbalanced data on the automatic target recognition (ATR) model ...

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation.