CattleSavior: towards implementing an advanced external disease detection system through deep learning

CattleSavior: towards implementing an advanced external disease detection system through deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Xehetasun bibliografikoak
Egile Nagusiak:	Das, Rantu, Sinha, Yousuf, Sahid, Sohidul Haque, Kar, Dipta Dipayan, Shaheen, Shahidul Haque
Beste egile batzuk:	Mukta, Jannatun Noor
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	External diseases Lumpy Skin Disease (LSD) Foot and mouth(FMD) Infectious Bovine Keratoconjunctivitis (IBK) Developing countries Deep learning CattleSavior Cognitive learning theory
Sarrera elektronikoa:	http://hdl.handle.net/10361/23792

Antzeko izenburuak

Investigation on the strategy and impact of artificial insemination programme and performance of Crossbred Cattle in Bangladesh
nork: Majid, M.A., et al.
Argitaratua: (2019)

Survey and analysis on oral microbial profile of Dhaka city dwellers and their association with different diseases in the community
nork: Anamika, Mahmuda Khatun, et al.
Argitaratua: (2024)

Bacteriology of diabetic foot ulcers and their antibiotic resistance ability
nork: Baral, Poulomi, et al.
Argitaratua: (2023)

Frequency and associated risk factors of diabetic foot infection: a review on the management and prevention
nork: Rahman, Madiha
Argitaratua: (2023)

Heart disease prediction using machine learning algorithms
nork: Ali, Musfiq, et al.
Argitaratua: (2019)

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

Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
nork: Haque, Adiba, et al.
Argitaratua: (2022)

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
nork: Nazmee, Namirah, et al.
Argitaratua: (2024)

Machine learning approach for ECG analysis and predicting different heart diseases
nork: Tithi, Sushmita Roy, et al.
Argitaratua: (2019)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
nork: Shawan, Naveed Rahman, et al.
Argitaratua: (2019)

Comparison of machine learning techniques to predict cardiovascular disease
nork: Jaber, Mir Mohammad, et al.
Argitaratua: (2019)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
nork: Jahan, Asif
Argitaratua: (2024)

Exploring machine learning techniques for symptom-based detection of livestock diseases
nork: Niloy, Mahir Ahmed, et al.
Argitaratua: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
nork: Zubair, Ahmad, et al.
Argitaratua: (2024)

An efficient deep learning approach to detect citrus leaves disease
nork: Emon, Shaharear Hossain, et al.
Argitaratua: (2024)

Binding of desloratadine and atenolol with bovine serum albumin and their in-vitro interactions
nork: Shihab-us-Sakib, Khondoker, et al.
Argitaratua: (2016)

Plant leaf disease identification
nork: Hasan Mahin, Mohammad Rakibul, et al.
Argitaratua: (2024)

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

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
nork: Kobra, Khadija-Tul, et al.
Argitaratua: (2022)

Diabetic retinopathy detection using machine learning
nork: Maliha, Maisha, et al.
Argitaratua: (2018)

Savior /
Argitaratua: (2009)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
nork: Hossain, Ashraful, et al.
Argitaratua: (2024)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
nork: Amin, M.M. Shahriar, et al.
Argitaratua: (2021)

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

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
nork: Oishi, Fayza Rezwana, et al.
Argitaratua: (2020)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
nork: Ahasan, Md. Mubtasim, et al.
Argitaratua: (2022)

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
nork: Rafi, Ahmad Abdur, et al.
Argitaratua: (2023)

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

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

Prediction of coronary heart diseases using supervised machine learning algorithms
nork: Salam, Nazia Binte, et al.
Argitaratua: (2023)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
nork: Sani, Mehedi Hasan, et al.
Argitaratua: (2022)

Investigating the link between Cardiovascular diseases and neurodegenerative disorders
nork: Dey, Manashi
Argitaratua: (2024)

Deep learning based early Glaucoma detection
nork: Islam, Aabrar, et al.
Argitaratua: (2024)

Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
nork: Nabil, Sheikh MD. Nafis Noor, et al.
Argitaratua: (2024)

Savior of the World

Efficacy of Rivastigmine in Alzheimer’s disease- A structured seview
nork: Alim, Abdul
Argitaratua: (2023)

Infection and communicable diseases /
nork: Brettle, Raymond Patrick
Argitaratua: (1984)

The Aids booklet /
nork: Cox, Frank D.
Argitaratua: (1999)

Potential treatments for epigenetic dysregulation in neurological diseases
nork: Zaman, Rubaiyat
Argitaratua: (2024)

Smart detection and classification of fungal disease in rice plants using image processing techniques
nork: Rashed, Akib, et al.
Argitaratua: (2024)