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.

Bibliografiset tiedot
Päätekijät:	Das, Rantu, Sinha, Yousuf, Sahid, Sohidul Haque, Kar, Dipta Dipayan, Shaheen, Shahidul Haque
Muut tekijät:	Mukta, Jannatun Noor
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	External diseases Lumpy Skin Disease (LSD) Foot and mouth(FMD) Infectious Bovine Keratoconjunctivitis (IBK) Developing countries Deep learning CattleSavior Cognitive learning theory
Linkit:	http://hdl.handle.net/10361/23792

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Savior /
Julkaistu: (2009)

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

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

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

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

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

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

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

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

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

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

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

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

Savior of the World

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

Infection and communicable diseases /
Tekijä: Brettle, Raymond Patrick
Julkaistu: (1984)

The Aids booklet /
Tekijä: Cox, Frank D.
Julkaistu: (1999)

Potential treatments for epigenetic dysregulation in neurological diseases
Tekijä: Zaman, Rubaiyat
Julkaistu: (2024)

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