Application of Deep Learning to Community-Science-Based Mosquito Monitoring and Detection of Novel Species
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of Deep Learning to Community-Science-Based Mosquito Monitoring and Detection of Novel Species
Authors
Keywords
-
Journal
JOURNAL OF MEDICAL ENTOMOLOGY
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-09-21
DOI
10.1093/jme/tjab161
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines
- (2021) Ali Khalighifar et al. BIODIVERSITY AND CONSERVATION
- Delimiting cryptic morphological variation among human malaria vector species using convolutional neural networks
- (2020) Jannelle Couret et al. PLoS Neglected Tropical Diseases
- Detecting Aedes aegypti mosquitoes through audio classification with convolutional neural networks
- (2020) Marcelo Schreiber Fernandes et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep Learning Algorithms Improve Automated Identification of Chagas Disease Vectors
- (2019) Ali Khalighifar et al. JOURNAL OF MEDICAL ENTOMOLOGY
- The Global Expansion of Dengue: How Aedes aegypti Mosquitoes Enabled the First Pandemic Arbovirus
- (2019) Oliver J. Brady et al. Annual Review of Entomology
- Directional and frequency characteristics of auditory neurons in Culex male mosquitoes
- (2019) Dmitry N. Lapshin et al. JOURNAL OF EXPERIMENTAL BIOLOGY
- Citizen science and smartphone e-entomology enables low-cost upscaling of mosquito surveillance
- (2019) Larissa Braz Sousa et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Zika virus evolution and spread in the Americas
- (2017) Hayden C. Metsky et al. NATURE
- Using mobile phones as acoustic sensors for high-throughput mosquito surveillance
- (2017) Haripriya Mukundarajan et al. eLife
- Outbreak of Zika Virus Infection, Chiapas State, Mexico, 2015, and First Confirmed Transmission byAedes aegyptiMosquitoes in the Americas
- (2016) Mathilde Guerbois et al. JOURNAL OF INFECTIOUS DISEASES
- warbleR: anrpackage to streamline analysis of animal acoustic signals
- (2016) Marcelo Araya-Salas et al. Methods in Ecology and Evolution
- Spread of the Invasive Mosquitoes Aedes aegypti and Aedes albopictus in the Black Sea Region Increases Risk of Chikungunya, Dengue, and Zika Outbreaks in Europe
- (2016) Muhammet M. Akiner et al. PLoS Neglected Tropical Diseases
- Mosquito vector monitoring system based on optical wingbeat classification
- (2015) Tai-Hsien Ouyang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Chikungunya outbreak in the Caribbean region, December 2013 to March 2014, and the significance for Europe
- (2014) W Van Bortel et al. Eurosurveillance
- SEEWAVE, A FREE MODULAR TOOL FOR SOUND ANALYSIS AND SYNTHESIS
- (2012) JEROME SUEUR et al. BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started