5 papers
The Role of Natural Language Understanding in Multimodal Video-Based Dengue Diagnosis
Danial Sharifrazi, Saadat Behzadi, Julakha Jahan Jui +5
Detecting infection-related behavioral changes in mosquitoes from video data is challenging because mosquitoes are small, move rapidly and irregularly, and are affected by environm…
A Hybrid Framework of Vision Transformer and Gated Recurrent Unit for Detection of Mosquito Diseases
Danial Sharifrazi, Saadat Behzadi, Nouman Javed +3
Identifying dengue virus-infected mosquitoes from control mosquitoes is a major challenge in analyzing mosquito locomotion behavior due to the small size and complexity of the vide…
SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification
Danial Sharifrazi, Nouman Javed, Mojtaba Mohammadi +5
Mosquitos are the main transmissive agents of arboviral diseases. Manual classification of their neuronal spike patterns is very labor-intensive and expensive. Most available deep…
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review
Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari +5
Human brain neuron activities are incredibly significant nowadays. Neuronal behavior is assessed by analyzing signal data such as electroencephalography (EEG), which can offer scie…
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis
Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani +3
Mosquito-borne diseases present considerable risks to the health of both animals and humans. Aedes aegypti mosquitoes are the primary vectors for numerous medically important virus…