Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Библиографические подробности
Главные авторы:	Ahasan, Md. Mubtasim, Fahim, Mohammad, Mazumder, Himadri, Fatema, Nur E, Rahman, Sheikh Mustafizur
Другие авторы:	Noor, Jannatun
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2022
Предметы:	Deep learning Respiratory diseases Cough sound Covid-19 Mel-Spectrogram MFCC CNN Machine learning Neural networks (Computer science) Cognitive learning theory (Deep learning)
Online-ссылка:	http://hdl.handle.net/10361/16780

Схожие документы

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
по: Ahmed, Syed Istiaque, и др.
Опубликовано: (2024)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
по: Arafat, Sheikh Mohammad, и др.
Опубликовано: (2021)

Classification of peripheral blood cell images using deep learning
по: Aadi, Oyshik Ahmed, и др.
Опубликовано: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
по: Saif, Muntasir Mahmud, и др.
Опубликовано: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
по: Hasan, M. M. Kamrul, и др.
Опубликовано: (2022)

Gender classification in Bangla language using deep learning-based voice analysis
по: Hakim, Talukder Juhaer, и др.
Опубликовано: (2024)

Deep learning-based waste classification system for efficient waste management
по: Nakib, Abdullah Al, и др.
Опубликовано: (2022)

Visual object classification from fMRI data
по: Newaz, Syed Mishar, и др.
Опубликовано: (2022)

An efficient deep learning approach to detect skin Cancer
по: Islam, Ashfaqul, и др.
Опубликовано: (2022)

Damaged road detection using Image Processing and Deep Learning
по: Swadesh, Shimran Mahbub, и др.
Опубликовано: (2022)

Predicting crime using deep learning
по: Shihab, Muhammad Nafees, и др.
Опубликовано: (2024)

Corn leaf disease detection using deep convolution neural network
по: Rabbi, Rawhatur, и др.
Опубликовано: (2023)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
по: Datta, Nirjhor, и др.
Опубликовано: (2024)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
по: Rayhan, Mohammad, и др.
Опубликовано: (2020)

Diabetic retinopathy detection and classification by using deep learning
по: Hossain, Shahriar, и др.
Опубликовано: (2022)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
по: Khan, Ibrahim
Опубликовано: (2023)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
по: Athina, Fahima Hasan, и др.
Опубликовано: (2022)

Application of CNN based architectures in detection of distracted drivers
по: Arafin, Irfana, и др.
Опубликовано: (2023)

Traffic sign recognition using deep learning
по: Amir, Afia Binte, и др.
Опубликовано: (2020)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
по: Zishan, Md Abu Obaida, и др.
Опубликовано: (2023)

Cancer classification using deep learning from medical image data
по: Monir, Raiyan Janik, и др.
Опубликовано: (2022)

Deep learning-based real-time pothole detection for avoiding road accident
по: Basher, Rafsan, и др.
Опубликовано: (2022)

An interpretable transformer based approach to classify Malaria from blood cell images
по: Islam, Mehafuza, и др.
Опубликовано: (2023)

Empowering mobile network planning through deep learning: a path to democratization
по: Nabi, Syed Tauhidun
Опубликовано: (2024)

Yoga posture recognition using the deep learning process
по: Islam, Abidul, и др.
Опубликовано: (2023)

Application of deep learning in MRI classification of Schizophrenia
по: Joyee, Ramisa Fariha, и др.
Опубликовано: (2024)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
по: Ghosh, Kawshik Kumar, и др.
Опубликовано: (2023)

Facial expression recognition: convolutional attentional masking network and ensemble approach
по: Kowsar, Ibna, и др.
Опубликовано: (2021)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
по: Bhuiyan, Abir Ahammed, и др.
Опубликовано: (2024)

Document template identification and data extraction using machine learning and deep learning approach
по: Roy, Kaushik, и др.
Опубликовано: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
по: Sakir, Adnan, и др.
Опубликовано: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
по: Badhon, Ariful Islam Mahmud, и др.
Опубликовано: (2022)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
по: Hossain, Prommy Sultana
Опубликовано: (2022)

Deep Learning based Bangla Voice to Braille Character Conversion System
по: Iqbal, Syed Bayes, и др.
Опубликовано: (2022)

Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
по: Joy, Tanvir Ahmed, и др.
Опубликовано: (2021)

Bang-lish sentiment classification using deep learning
по: Saleheen, Abrar, и др.
Опубликовано: (2023)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
по: Tasnim, Sadia, и др.
Опубликовано: (2023)

Sentiment analysis on Bangladesh airlines review data using machine learning
по: Hasib, Khan Md.
Опубликовано: (2022)

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
по: Hassan, Mehadi, и др.
Опубликовано: (2021)

A deep learning approach towards soft biometrics attributes prediction using CNN
по: Kibria, Maharab, и др.
Опубликовано: (2022)