Exploring machine learning techniques for symptom-based detection of livestock diseases

Exploring machine learning techniques for symptom-based detection of livestock diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Podrobná bibliografie
Hlavní autoři:	Niloy, Mahir Ahmed, Bhowmik, Tanmay, Abedin, Jennifer, Ferdous, Syeda Jannatul, Jahan, Ishrat
Další autoři:	Noor, Jannatun
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2024
Témata:	Livestock disease Disease detection Neural network Ensemble model Gradient boosting classifier Machine learning Neural networks (Computer science). Livestock > Diseases. Deep learning.
On-line přístup:	http://hdl.handle.net/10361/24268

Podobné jednotky

Use of machine learning and IoT for monitoring and tracking of livestock
Autor: Aunindita, Rudaba Farhin, a další
Vydáno: (2023)

Application of machine learning techniques on the context of livestock analysis
Autor: Islam, Md. Shajedul, a další
Vydáno: (2018)

Livestock resources in Bangladesh : present status and future potential /
Autor: Ālama, Jāhāṅgīra
Vydáno: (1995)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
Autor: Ghosh, Kawshik Kumar, a další
Vydáno: (2023)

Agriculture and livestock programme
Autor: Ahmed, Tanvir
Vydáno: (2016)

X-Ray classification to detect COVID-19 using ensemble model
Autor: Solaiman, Ishmam Ahmed, a další
Vydáno: (2021)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
Autor: Shawan, Naveed Rahman, a další
Vydáno: (2019)

Detecting online recruitment fraud by using machine learning
Autor: Ghosh, Gitanjali, a další
Vydáno: (2021)

Association between household livestock ownership and childhood stunting in Bangladesh – A spatial analysis
Autor: Hossain, Md. Belal, a další
Vydáno: (2022)

The activities of accounts and finance department of the dairy and livestock program of SOJAG
Autor: Matin, Yusuf Ibn
Vydáno: (2019)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
Autor: Ferdous, Md.Rubaiat, a další
Vydáno: (2024)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
Autor: Bhuiyan, Mahdi Hasan, a další
Vydáno: (2024)

Early detection of chronic kidney disease using machine learning
Autor: Abrar, Tahmid, a další
Vydáno: (2019)

Maximum livestock production from minimum land : proceedings of the fourth seminar held from 2nd to 5th of February 1981 at the Bangladesh Agricultural University, Mymensingh Bangladesh /

Efficient image processing and machine learning approach for predicting retinal diseases
Autor: Hasib, Mehadi Hasan, a další
Vydáno: (2021)

Plant leaf disease identification
Autor: Hasan Mahin, Mohammad Rakibul, a další
Vydáno: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
Autor: Turjo, Aquib Abtahi, a další
Vydáno: (2021)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
Autor: Ifty, Md. Hasin Sarwar, a další
Vydáno: (2024)

A deep learning approach for prediction of ADHD using brain structure
Autor: Siam, Shafin Ahad, a další
Vydáno: (2024)

Smallholder livestock development project Bangladesh: third misssion report, phase IV
Autor: BRAC
Vydáno: (2016)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
Autor: Islam, Saqib Al, a další
Vydáno: (2020)

Deep learning based early Glaucoma detection
Autor: Islam, Aabrar, a další
Vydáno: (2024)

Maximum livestock production from minimum land : proceedings of the third seminar, held from 13th to 18th February 1982 at Bangladesh Agricultural Research Institute, Joydebpur /

Medical image reader powered by artificial intelligence
Autor: Palok, Tanvir Ahmed, a další
Vydáno: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
Autor: Datta, Nirjhor, a další
Vydáno: (2024)

Center for self riliance : a place for learning and sharing
Autor: Arefin, Md. Abrarul
Vydáno: (2018)

Plant disease detection using convolutional neural network
Autor: Hossain, Mohammad Shifat, a další
Vydáno: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
Autor: Sagor, Mostofa Kamal, a další
Vydáno: (2021)

Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
Autor: Rafi, Abdullah Hasan Sajjad, a další
Vydáno: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
Autor: Shahriar, Farhan, a další
Vydáno: (2021)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
Autor: Neehal, Ahmed Hasin, a další
Vydáno: (2020)

Tomato leaf disease detection using convolutional neural network
Autor: Hasan, Md. Riazul, a další
Vydáno: (2023)

Thoracic complication detection on chest X-rays using deep learning
Autor: Ratul, Rizwanul Hoque, a další
Vydáno: (2021)

An early assessment of CFPR II support packages
Autor: Das, Narayan Chandra, a další
Vydáno: (2022)

PlantGuard: intelligent plant disease detection
Autor: Khanom, Nazifa
Vydáno: (2024)

Heart disease prediction system
Autor: Amit, Tayab Al Azad, a další
Vydáno: (2022)

Prediction on large scale data using extreme gradient boosting
Autor: Sawon, Md.Tariq Hasan, a další
Vydáno: (2016)

Heart disease prediction using machine learning algorithms
Autor: Ali, Musfiq, a další
Vydáno: (2019)

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
Autor: Niloy, Ahashan Habib, a další
Vydáno: (2021)

Early detection of parkinson’s disease using image processing and artificial neural network
Autor: Rumman, Mosarrat, a další
Vydáno: (2018)