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.
Glavni autori: | Ghosh, Kawshik Kumar, Islam, MD.Fahim-Ul, Efaz, Abrar Ahsan, Ratul, Md. Wahid Sadiq, Shatil, Md Zaid Hassan Khan |
---|---|
Daljnji autori: | Chakrabarty, Amitabha |
Format: | Disertacija |
Jezik: | English |
Izdano: |
Brac University
2023
|
Teme: | |
Online pristup: | http://hdl.handle.net/10361/18377 |
Similar Items
-
Application of machine learning techniques on the context of livestock analysis
od: Islam, Md. Shajedul, i dr.
Izdano: (2018) -
Blockchain-based edge computing for medical data storage & processing using federated learning
od: Faiyaz, Fazle Rabbi, i dr.
Izdano: (2021) -
Use of machine learning and IoT for monitoring and tracking of livestock
od: Aunindita, Rudaba Farhin, i dr.
Izdano: (2023) -
LSTM based content prediction for edge caching using federated learning approach
od: Mazumder, Shafkat Ahmed, i dr.
Izdano: (2021) -
Exploring machine learning techniques for symptom-based detection of livestock diseases
od: Niloy, Mahir Ahmed, i dr.
Izdano: (2024)