Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Autori principali: | Ghosh, Kawshik Kumar, Islam, MD.Fahim-Ul, Efaz, Abrar Ahsan, Ratul, Md. Wahid Sadiq, Shatil, Md Zaid Hassan Khan |
---|---|
Altri autori: | Chakrabarty, Amitabha |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
Brac University
2023
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/18377 |
Documenti analoghi
-
Application of machine learning techniques on the context of livestock analysis
di: Islam, Md. Shajedul, et al.
Pubblicazione: (2018) -
Blockchain-based edge computing for medical data storage & processing using federated learning
di: Faiyaz, Fazle Rabbi, et al.
Pubblicazione: (2021) -
Use of machine learning and IoT for monitoring and tracking of livestock
di: Aunindita, Rudaba Farhin, et al.
Pubblicazione: (2023) -
LSTM based content prediction for edge caching using federated learning approach
di: Mazumder, Shafkat Ahmed, et al.
Pubblicazione: (2021) -
Exploring machine learning techniques for symptom-based detection of livestock diseases
di: Niloy, Mahir Ahmed, et al.
Pubblicazione: (2024)