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Acta Tropica
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November 14, 2024
LarvaeCountAI: a robust convolutional neural network-based tool for accurately counting the larvae of Culex annulirostris mosquitoes
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Royal Society Open Science
|
October 3, 2024
FlightTrackAI: a robust convolutional neural network-based tool for tracking the flight behaviour of <i>Aedes aegypti</i> mosquitoes
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Parasites & Vectors
|
October 1, 2023
EggCountAI: a convolutional neural network-based software for counting of Aedes aegypti mosquito eggs
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Advanced Biology
|
August 28, 2025
Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Primary Dental Journal
|
May 25, 2019
Tier 2: A Warm welcome or a Cold Reality?
Sami Stagnell, Mohamed Asim Bhatti, Tarik Shembesh, et al.
Computers in Biology and Medicine
|
February 23, 2024
Flight traits of dengue-infected Aedes aegypti mosquitoes
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Drug and Alcohol Review
|
December 26, 2025
Automated Detection of Digital Alcohol Marketing Using SCANNER: An Integrated Deep-Learning Approach
Florentine Martino, Navoda Liyana Pathirana, Luai Saif, et al.
Parasites & Vectors
|
November 20, 2016
Assessment of ICount software, a precise and fast egg counting tool for the mosquito vector Aedes aegypti
Julie Gaburro, Jean-Bernard Duchemin, Prasad N Paradkar, et al.
Scientific Reports
|
July 6, 2018
Electrophysiological evidence of RML12 mosquito cell line towards neuronal differentiation by 20-hydroxyecdysdone
Julie Gaburro, Jean-Bernard Duchemin, Prasad N Paradkar, et al.
Appetite
|
June 21, 2024
Understanding parents' perceptions of children's exposure to unhealthy food marketing in digital and retail environments
Christine Driessen, Rebecca Bennett, Adrian J Cameron, et al.
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Search research articles
Search
Showing results (11-20 of 32) with videos related to
Sort By:
Page
of 4
Acta Tropica
|
November 14, 2024
LarvaeCountAI: a robust convolutional neural network-based tool for accurately counting the larvae of Culex annulirostris mosquitoes
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Royal Society Open Science
|
October 3, 2024
FlightTrackAI: a robust convolutional neural network-based tool for tracking the flight behaviour of <i>Aedes aegypti</i> mosquitoes
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Parasites & Vectors
|
October 1, 2023
EggCountAI: a convolutional neural network-based software for counting of Aedes aegypti mosquito eggs
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Advanced Biology
|
August 28, 2025
Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Primary Dental Journal
|
May 25, 2019
Tier 2: A Warm welcome or a Cold Reality?
Sami Stagnell, Mohamed Asim Bhatti, Tarik Shembesh, et al.
Computers in Biology and Medicine
|
February 23, 2024
Flight traits of dengue-infected Aedes aegypti mosquitoes
Nouman Javed, Adam J López-Denman, Prasad N Paradkar, et al.
Drug and Alcohol Review
|
December 26, 2025
Automated Detection of Digital Alcohol Marketing Using SCANNER: An Integrated Deep-Learning Approach
Florentine Martino, Navoda Liyana Pathirana, Luai Saif, et al.
Parasites & Vectors
|
November 20, 2016
Assessment of ICount software, a precise and fast egg counting tool for the mosquito vector Aedes aegypti
Julie Gaburro, Jean-Bernard Duchemin, Prasad N Paradkar, et al.
Scientific Reports
|
July 6, 2018
Electrophysiological evidence of RML12 mosquito cell line towards neuronal differentiation by 20-hydroxyecdysdone
Julie Gaburro, Jean-Bernard Duchemin, Prasad N Paradkar, et al.
Appetite
|
June 21, 2024
Understanding parents' perceptions of children's exposure to unhealthy food marketing in digital and retail environments
Christine Driessen, Rebecca Bennett, Adrian J Cameron, et al.
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of 4