A protocol for developing a classification system of mosquitoes using transfer learning
Mosquito identification and classification are the most important steps in a surveillance program of mosquito-borne diseases. With conventional approach of data collection, the process of sorting and classification are laborious and time-consuming. The advancement of computer vision with transfer le...
Published in: | MethodsX |
---|---|
Main Authors: | Isawasan P., Abdullah Z.I., Ong S.-Q., Salleh K.A. |
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2023
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145983945&doi=10.1016%2fj.mex.2022.101947&partnerID=40&md5=002560b3a006bac96f45882798b615bf |
Similar Items
-
Study on the Correlation of Trainable Parameters and Hyperparameters with the Performance of Deep Learning Models
by: Ong S.-Q.; Isawasan P.; Nair G.; Salleh K.A.; Yusof U.K.
Published: (2023) -
SAM (Saponin anti mosquitoes)-biolarvicide activity of rambutan (nepheliumlappaceum) towards mosquito larvae
by: Jamal H.; Farzana Y.; Najnin A.; Rashid M.A.; Karim A.J.; Deepthi S.; Nazmul M.H.M.
Published: (2019) -
A systematic review and meta-analysis of the effects of temperature on the development and survival of the Aedes mosquito
by: Nik Abdull Halim N.M.H., et al.
Published: (2022) -
Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data
by: Ong S.Q.; Isawasan P.; Ngesom A.M.M.; Shahar H.; Lasim A.M.; Nair G.
Published: (2023) -
Viability of unmanned aerial vehicles in identifying potential breeding sites for mosquito: A scoping review
by: Mahfodz Z.; Dom N.C.; Abdullah S.; Precha N.
Published: (2024)