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.

מידע ביבליוגרפי
Main Authors:	Niloy, Mahir Ahmed, Bhowmik, Tanmay, Abedin, Jennifer, Ferdous, Syeda Jannatul, Jahan, Ishrat
מחברים אחרים:	Noor, Jannatun
פורמט:	Thesis
שפה:	English
יצא לאור:	Brac University 2024
נושאים:	Livestock disease Disease detection Neural network Ensemble model Gradient boosting classifier Machine learning Neural networks (Computer science). Livestock > Diseases. Deep learning.
גישה מקוונת:	http://hdl.handle.net/10361/24268

פריטים דומים

Use of machine learning and IoT for monitoring and tracking of livestock
מאת: Aunindita, Rudaba Farhin, et al.
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Application of machine learning techniques on the context of livestock analysis
מאת: Islam, Md. Shajedul, et al.
יצא לאור: (2018)

Livestock resources in Bangladesh : present status and future potential /
מאת: Ālama, Jāhāṅgīra
יצא לאור: (1995)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
מאת: Ghosh, Kawshik Kumar, et al.
יצא לאור: (2023)

Agriculture and livestock programme
מאת: Ahmed, Tanvir
יצא לאור: (2016)

X-Ray classification to detect COVID-19 using ensemble model
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יצא לאור: (2019)

Detecting online recruitment fraud by using machine learning
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יצא לאור: (2021)

Association between household livestock ownership and childhood stunting in Bangladesh – A spatial analysis
מאת: Hossain, Md. Belal, et al.
יצא לאור: (2022)

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

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
מאת: Ferdous, Md.Rubaiat, et al.
יצא לאור: (2024)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
מאת: Bhuiyan, Mahdi Hasan, et al.
יצא לאור: (2024)

Early detection of chronic kidney disease using machine learning
מאת: Abrar, Tahmid, et al.
יצא לאור: (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
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יצא לאור: (2021)

Plant leaf disease identification
מאת: Hasan Mahin, Mohammad Rakibul, et al.
יצא לאור: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
מאת: Turjo, Aquib Abtahi, et al.
יצא לאור: (2021)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
מאת: Ifty, Md. Hasin Sarwar, et al.
יצא לאור: (2024)

A deep learning approach for prediction of ADHD using brain structure
מאת: Siam, Shafin Ahad, et al.
יצא לאור: (2024)

Smallholder livestock development project Bangladesh: third misssion report, phase IV
מאת: BRAC
יצא לאור: (2016)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
מאת: Islam, Saqib Al, et al.
יצא לאור: (2020)

Deep learning based early Glaucoma detection
מאת: Islam, Aabrar, et al.
יצא לאור: (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
מאת: Palok, Tanvir Ahmed, et al.
יצא לאור: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
מאת: Datta, Nirjhor, et al.
יצא לאור: (2024)

Center for self riliance : a place for learning and sharing
מאת: Arefin, Md. Abrarul
יצא לאור: (2018)

Plant disease detection using convolutional neural network
מאת: Hossain, Mohammad Shifat, et al.
יצא לאור: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
מאת: Sagor, Mostofa Kamal, et al.
יצא לאור: (2021)

Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
מאת: Rafi, Abdullah Hasan Sajjad, et al.
יצא לאור: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
מאת: Shahriar, Farhan, et al.
יצא לאור: (2021)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
מאת: Neehal, Ahmed Hasin, et al.
יצא לאור: (2020)

Tomato leaf disease detection using convolutional neural network
מאת: Hasan, Md. Riazul, et al.
יצא לאור: (2023)

Thoracic complication detection on chest X-rays using deep learning
מאת: Ratul, Rizwanul Hoque, et al.
יצא לאור: (2021)

An early assessment of CFPR II support packages
מאת: Das, Narayan Chandra, et al.
יצא לאור: (2022)

PlantGuard: intelligent plant disease detection
מאת: Khanom, Nazifa
יצא לאור: (2024)

Heart disease prediction system
מאת: Amit, Tayab Al Azad, et al.
יצא לאור: (2022)

Prediction on large scale data using extreme gradient boosting
מאת: Sawon, Md.Tariq Hasan, et al.
יצא לאור: (2016)

Heart disease prediction using machine learning algorithms
מאת: Ali, Musfiq, et al.
יצא לאור: (2019)

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
מאת: Niloy, Ahashan Habib, et al.
יצא לאור: (2021)

Early detection of parkinson’s disease using image processing and artificial neural network
מאת: Rumman, Mosarrat, et al.
יצא לאור: (2018)