The role of artificial intelligence in fighting the COVID-19 pandemic
The first few months of 2020 have profoundly changed the way we live our lives and carry
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
Deep learning as a tool for ecology and evolution
Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …
speech and image recognition, natural language processing and autonomous driving. It is …
Minirocket: A very fast (almost) deterministic transform for time series classification
Rocket achieves state-of-the-art accuracy for time series classification with a fraction of the
computational expense of most existing methods by transforming input time series using …
computational expense of most existing methods by transforming input time series using …
Classification and morphological analysis of vector mosquitoes using deep convolutional neural networks
J Park, DI Kim, B Choi, W Kang, HW Kwon - Scientific reports, 2020 - nature.com
Image-based automatic classification of vector mosquitoes has been investigated for
decades for its practical applications such as early detection of potential mosquitoes-borne …
decades for its practical applications such as early detection of potential mosquitoes-borne …
Review of machine learning techniques for mosquito control in urban environments
Abstract Machine learning (ML) techniques excel at forecasting, clustering, and classification
tasks, making them valuable for various aspects of mosquito control. In this literature review …
tasks, making them valuable for various aspects of mosquito control. In this literature review …
[HTML][HTML] Detecting Aedes aegypti mosquitoes through audio classification with convolutional neural networks
MS Fernandes, W Cordeiro… - Computers in Biology …, 2021 - Elsevier
The incidence of mosquito-borne diseases is significant in under-developed regions, mostly
due to the lack of resources to implement aggressive control measurements against …
due to the lack of resources to implement aggressive control measurements against …
Deep learning identification for citizen science surveillance of tiger mosquitoes
BA Pataki, J Garriga, R Eritja, JRB Palmer… - Scientific reports, 2021 - nature.com
Global monitoring of disease vectors is undoubtedly becoming an urgent need as the
human population rises and becomes increasingly mobile, international commercial …
human population rises and becomes increasingly mobile, international commercial …
Vibration-based gear continuous generating grinding fault classification and interpretation with deep convolutional neural network
C Liu, Y Meerten, K Declercq, K Gryllias - Journal of Manufacturing …, 2022 - Elsevier
Continuous generating grinding plays an essential role in modern gear manufacturing, while
the increasing need for high-quality gear products pushes the quality control of the grinding …
the increasing need for high-quality gear products pushes the quality control of the grinding …
[HTML][HTML] Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology
Every year about one million people die due to diseases transmitted by mosquitoes. The
infection is transmitted to a person when an infected mosquito stings, injecting the saliva into …
infection is transmitted to a person when an infected mosquito stings, injecting the saliva into …
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 …