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.

Dettagli Bibliografici
Autori principali:	Das, Rantu, Sinha, Yousuf, Sahid, Sohidul Haque, Kar, Dipta Dipayan, Shaheen, Shahidul Haque
Altri autori:	Mukta, Jannatun Noor
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	External diseases Lumpy Skin Disease (LSD) Foot and mouth(FMD) Infectious Bovine Keratoconjunctivitis (IBK) Developing countries Deep learning CattleSavior Cognitive learning theory
Accesso online:	http://hdl.handle.net/10361/23792

Documenti analoghi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Savior /
Pubblicazione: (2009)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
di: Hossain, Ashraful, et al.
Pubblicazione: (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
di: Amin, M.M. Shahriar, et al.
Pubblicazione: (2021)

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

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

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

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

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

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

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

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

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

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

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

Savior of the World

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

Infection and communicable diseases /
di: Brettle, Raymond Patrick
Pubblicazione: (1984)

The Aids booklet /
di: Cox, Frank D.
Pubblicazione: (1999)

Potential treatments for epigenetic dysregulation in neurological diseases
di: Zaman, Rubaiyat
Pubblicazione: (2024)

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