AIMC Topic: Philippines
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Geographical origin differentiation of Philippine Robusta coffee (C. canephora) using X-ray fluorescence-based elemental profiling with chemometrics and machine learning.
Food chemistry
Mar 6, 2025
The increasing demand for authenticity and traceability in high-value crops underscores the need for reliable methods to verify the geographical origin of single-origin coffee and prevent fraud. This study explores a rapid and cost-effective approach...
Identifying bee species origins of Philippine honey using X-ray fluorescence elemental analysis coupled with machine learning.
Food chemistry
Feb 1, 2025
Stingless bee honey is emerging as a superfood, given its enhanced health and therapeutic benefits. In this paper, we used handheld X-ray fluorescence spectroscopy (hXRF) with machine learning techniques to classify Philippine honey based on its ento...
Artificial intelligence in the era of planetary health: insights on its application for the climate change-mental health nexus in the Philippines.
International review of psychiatry (Abingdon, England)
Jun 22, 2024
This review explores the transformative potential of Artificial Intelligence (AI) in the light of evolving threats to planetary health, particularly the dangers posed by the climate crisis and its emerging mental health impacts, in the context of a c...
Spatiotemporal models of dengue epidemiology in the Philippines: Integrating remote sensing and interpretable machine learning.
Acta tropica
May 1, 2024
Previous dengue epidemiological analyses have been limited in spatiotemporal extent or covariate dimensions, the latter neglecting the multifactorial nature of dengue. These constraints, caused by rigid and traditional statistical tools which collaps...
Amenity counts significantly improve water consumption predictions.
PloS one
Mar 18, 2022
Anticipating the increase in water demand in an urban area requires us to properly understand daily human movement driven by population size, land use, and amenity types among others. Mobility data from phones can capture human movement, but not only...
A Preliminary Investigation on the Antiviral Activities of the Philippine Marshmint (Mentha arvensis) Leaf Extracts against Dengue Virus Serotype 2 In Vitro.
The Kobe journal of medical sciences
Dec 21, 2021
In this study, we investigated the antiviral activity of lyophilized crude leaf extracts of the Philippine marshmint (Mentha arvensis L., commonly called yerba buena) against DENV-2 in vitro. The plant specimen was authenticated by DNA barcoding anal...
Predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model.
The Science of the total environment
Dec 17, 2019
Harmful algal blooms (HABs) that produce toxins and those that lead to fish kills are global problems that appear to be increasing in frequency and expanding in area. One way to help mitigate their impacts on people's health and livelihoods is to dev...
Artificial intelligence and inequality: insights from the Philippines.
Journal of public health (Oxford, England)
Aug 25, 2024
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