A smartwatch can tell us the level of oxygen in our blood, when our sleep is restless or the number of steps we take in a day ...

The rapid evolution of omic technologies such as spanning genomics, transcriptomics, and proteomics, is reshaping how we ...

Seeking to empower smallholder farmers, an Asia Pacific University of Technology & Innovation (APU) duo devised a solution ...

In late-March, I visited a wheat field in southern Sacramento County at the request of a crop consultant. The consultant had previously brought some sample plants to me at my office that had ...

Abstract: Crop diseases remain a major threat to global agricultural productivity, particularly in resource-constrained regions, where early intervention is critical to ensuring food security.

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a powerful and label-efficient solution for real-world ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...

Abstract: The shortcomings of RNN in the detection are lower speed, complex in nature, and not able to remember long sequences. To address these, RNN is coupled with GRU, whose architecture is simple, ...