| Advances in understanding vector behavioural traits after infection N Javed, A Bhatti, PN Paradkar Pathogens 10 (11), 1376, 2021 | 19 | 2021 |
| Flight behaviour monitoring and quantification of aedes aegypti using convolution neural network N Javed, PN Paradkar, A Bhatti PloS one 18 (7), e0284819, 2023 | 7 | 2023 |
| EggCountAI: a convolutional neural network-based software for counting of Aedes aegypti mosquito eggs N Javed, AJ López-Denman, PN Paradkar, A Bhatti Parasites & Vectors 16 (1), 341, 2023 | 6 | 2023 |
| Advances in understanding vector behavioural traits after infection. Pathogens 10: 1376 N Javed, A Bhatti, PN Paradkar | 5 | 2021 |
| Flight traits of dengue-infected Aedes aegypti mosquitoes N Javed, AJ López-Denman, PN Paradkar, A Bhatti Computers in biology and medicine 171, 108178, 2024 | 4 | 2024 |
| Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach D Sharifrazi, N Javed, R Alizadehsani, PN Paradkar, UR Acharya, A Bhatti Biomedical Signal Processing and Control 96, 106594, 2024 | | 2024 |
| LarvaeCountAI: a robust convolutional neural network-based tool for accurately counting the larvae of Culex annulirostris mosquitoes N Javed, AJ López-Denman, PN Paradkar, A Bhatti | | 2024 |
| FlightTrackAI: a convolutional neural network-based software for tracking the flight behaviour of Aedes aegypti mosquitoes N Javed, AJ López-Denman, PN Paradkar, A Bhatti | | 2024 |
| Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis D Sharifrazi, N Javed, R Alizadehsani, PN Paradkar, UR Acharya, A Bhatti arXiv preprint arXiv:2312.08654, 2023 | | 2023 |
| Flight Behavioural Quantification of Mosquitoes using Mask RCNN N Javed, PN Paradkar, A Bhatti | | 2022 |
