[HTML][HTML] An overview of technologies available to monitor behaviours of mosquitoes
Mosquito-borne diseases such as malaria, dengue, Zika, and chikungunya cause significant
morbidity and mortality globally, resulting in over 600,000 deaths from malaria and around …
morbidity and mortality globally, resulting in over 600,000 deaths from malaria and around …
Mosquito-borne diseases in India over the past 50 years and their global public health implications: A systematic review
Mosquito-borne diseases (MBDs) pose a significant public health concern globally, and
India, with its unique eco-sociodemographic characteristics, is particularly vulnerable to …
India, with its unique eco-sociodemographic characteristics, is particularly vulnerable to …
Modeling climate change impacts on vector-borne disease using machine learning models: Case study of Visceral leishmaniasis (Kala-azar) from Indian state of Bihar
S Kumar, A Srivastava, R Maity - Expert Systems with Applications, 2024 - Elsevier
Visceral leishmaniasis or Kala-azar (KA) is a Vector-Borne Disease (VBD) that remains the
second-largest parasitic killer across the globe (mortality rate: 75–95%). More than 60% of …
second-largest parasitic killer across the globe (mortality rate: 75–95%). More than 60% of …
Flight behaviour monitoring and quantification of aedes aegypti using convolution neural network
Mosquito-borne diseases cause a huge burden on public health worldwide. The viruses that
cause these diseases impact the behavioural traits of mosquitoes, including locomotion and …
cause these diseases impact the behavioural traits of mosquitoes, including locomotion and …
[HTML][HTML] Citrus orchard mapping in Juybar, Iran: Analysis of NDVI time series and feature fusion of multi-source satellite imageries
Nowadays crop mapping as an interdisciplinary hot topic attracted both agriculture and
remote sensing researchers' interests. This study proposed an automatic method to map …
remote sensing researchers' interests. This study proposed an automatic method to map …
A deep learning-based pipeline for mosquito detection and classification from wingbeat sounds
Mosquito vector-borne diseases such as malaria and dengue constitute some of the most
serious public health burdens in tropical and sub-tropical countries. Effective targeting of …
serious public health burdens in tropical and sub-tropical countries. Effective targeting of …
Modeling of municipal waste disposal behaviors related to meteorological seasons using Recurrent Neural Network LSTM models
The literature suggests that long short-term memory (LSTM) paired with recurrent neural
network (RNN) can better express long-and short-term reliance of a data set. The study …
network (RNN) can better express long-and short-term reliance of a data set. The study …
Comparing the performance of machine learning methods in predicting soil seed bank persistence
Y Tang, H Li - Ecological Informatics, 2023 - Elsevier
Soil seed banks are pivotal for understanding plant population life histories and elucidating
plant-environment relationships. Although experimental exploration of persistent seed banks …
plant-environment relationships. Although experimental exploration of persistent seed banks …
Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status …
Malaria is a major public health concern, causing significant morbidity and mortality globally.
Monitoring the local population density and diversity of the vectors transmitting malaria is …
Monitoring the local population density and diversity of the vectors transmitting malaria is …
An optical system to detect, surveil, and kill flying insect vectors of human and crop pathogens
JM Patt, A Makagon, B Norton, M Marvit… - Scientific Reports, 2024 - nature.com
Sustainable and effective means to control flying insect vectors are critically needed,
especially with widespread insecticide resistance and global climate change …
especially with widespread insecticide resistance and global climate change …