Big geospatial data and data-driven methods for urban dengue risk forecasting: a review
With advancements in big geospatial data and artificial intelligence, multi-source data and
diverse data-driven methods have become common in dengue risk prediction …
diverse data-driven methods have become common in dengue risk prediction …
Temporal and spatiotemporal arboviruses forecasting by machine learning: a systematic review
Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they
are part of the Neglected Tropical Diseases that pose several public health challenges for …
are part of the Neglected Tropical Diseases that pose several public health challenges for …
[HTML][HTML] Harmful algal blooms (HAB) open issues: A review of ecological data challenges, factor analysis and prediction approaches using data-driven method
Ongoing research on the temporal and spatial distribution of algae ecological data has
caused intricacies entailing incomprehensible data, model overfit, and inaccurate algal …
caused intricacies entailing incomprehensible data, model overfit, and inaccurate algal …
Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they are part of the Neglected Tropical Diseases that pose several public health …
DU Pernambuco, JV Cordeiro - … in digital health and big data in …, 2023 - books.google.com
Vector-borne diseases present a major public health challenge for many countries around
the world (1-3). Arboviral diseases are diseases caused by arthropod-borne viruses which …
the world (1-3). Arboviral diseases are diseases caused by arthropod-borne viruses which …
An application of hybrid swarm intelligence algorithms for dengue outbreak prediction
Dengue fever is a hazardous infectious disease which is channeled by Aedes mosquito. A
serious infection of dengue may lead to a potentially lethal complication, known as severe …
serious infection of dengue may lead to a potentially lethal complication, known as severe …
Air Quality Index Prediction Using Support Vector Regression Based on African Buffalo Optimization
Abstract Support Vector Regression (SVR) is one of the machine learning models widely
used in regression analysis. As an alternative for fitting a line to the data points like typical …
used in regression analysis. As an alternative for fitting a line to the data points like typical …