A comprehensive survey on tinyml
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
A survey on deep learning based forest environment sound classification at the edge
Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …
Unique natural and artificial phenomena pose severe threats to the perseverance of such …
Is someone speaking? exploring long-term temporal features for audio-visual active speaker detection
Active speaker detection (ASD) seeks to detect who is speaking in a visual scene of one or
more speakers. The successful ASD depends on accurate interpretation of short-term and …
more speakers. The successful ASD depends on accurate interpretation of short-term and …
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
Dengue endemicity has become regular in recent times across the world. The numbers of
cases and deaths have been alarmingly increasing over the years. In addition to this, there …
cases and deaths have been alarmingly increasing over the years. In addition to this, there …
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 …
Application of deep learning to community-science-based mosquito monitoring and detection of novel species
A Khalighifar, D Jiménez-García… - Journal of medical …, 2022 - academic.oup.com
Mosquito-borne diseases account for human morbidity and mortality worldwide, caused by
the parasites (eg, malaria) or viruses (eg, dengue, Zika) transmitted through bites of infected …
the parasites (eg, malaria) or viruses (eg, dengue, Zika) transmitted through bites of infected …
A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes
Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control
severe diseases such as dengue, chikungunya, Zika or yellow fever. Previous citizen …
severe diseases such as dengue, chikungunya, Zika or yellow fever. Previous citizen …
[PDF][PDF] Automated Detection of COVID-19 Cough Sound using Mel-Spectrogram Images and Convolutional Neural Network
COVID-19 is a new disease caused by the Severe Acute Respiratory Syndrome Coronavirus
2 (SARS-CoV-2) variant. The initial symptoms of the disease commonly include fever (83 …
2 (SARS-CoV-2) variant. The initial symptoms of the disease commonly include fever (83 …
Automated detection of the yellow‐legged hornet (Vespa velutina) using an optical sensor with machine learning
C Herrera, M Williams, J Encarnação… - Pest Management …, 2023 - Wiley Online Library
BACKGROUND The yellow‐legged hornet (Vespa velutina) is native to Southeast Asia and
is an invasive alien species of concern in many countries. More effective management of …
is an invasive alien species of concern in many countries. More effective management of …
Counting mosquitoes in the wild: An internet of things approach
D Vasconcelos, MS Yin, F Wetjen, A Herbst… - Proceedings of the …, 2021 - dl.acm.org
Counting mosquitoes in the wild is a crucial capability for monitoring, prediction, and control
of vector-borne diseases. Current approaches are mainly manual, where specially designed …
of vector-borne diseases. Current approaches are mainly manual, where specially designed …