Abstract: In this article, we have demonstrated a novel, generalized Seq2Dense U-Net model for classifying different activities (time-series data obtained from an accelerometer and gyroscope) and ...

NTT DATA, a global leader in digital business and technology services, announced the release of the first sustainability report for its data center division, NTT Global Data Centers. The report ...

The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the ...

Trainers, it has come to our attention that we finally have the answer to how is Niantic using our data. In a recent post published on Niantic’s official company blog, Niantic has shared detailed ...

Data modeling and data analysis are two fundamental ideas in the contemporary field of data science that frequently overlap but are very different from one another. Although both are crucial in ...

Machine learning, particularly the training of large foundation models, relies heavily on the diversity and quality of data. These models, pre-trained on vast datasets, are the foundation of many ...

Generative AI’s reliance on extensive data has led to the use of synthetic data, which Rice University research shows can cause a feedback loop that degrades model quality over time. This process, ...

This repository contains Group 7 - QuickEV's AoL (Assurance of Learning) Final Project for COMP6100001 - Software Engineering and COMP6884001 - Agile Software Development courses.

Background: Emerging brain-computer interface (BCI) technology holds promising potential to enhance the quality of life for individuals with disabilities. Nevertheless, the constrained accuracy of ...