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.

Xehetasun bibliografikoak
Egile Nagusiak:	Ahasan, Md. Mubtasim, Fahim, Mohammad, Mazumder, Himadri, Fatema, Nur E, Rahman, Sheikh Mustafizur
Beste egile batzuk:	Noor, Jannatun
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	Deep learning Respiratory diseases Cough sound Covid-19 Mel-Spectrogram MFCC CNN Machine learning Neural networks (Computer science) Cognitive learning theory (Deep learning)
Sarrera elektronikoa:	http://hdl.handle.net/10361/16780

Antzeko izenburuak

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
nork: Ahmed, Syed Istiaque, et al.
Argitaratua: (2024)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
nork: Arafat, Sheikh Mohammad, et al.
Argitaratua: (2021)

Classification of peripheral blood cell images using deep learning
nork: Aadi, Oyshik Ahmed, et al.
Argitaratua: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
nork: Saif, Muntasir Mahmud, et al.
Argitaratua: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
nork: Hasan, M. M. Kamrul, et al.
Argitaratua: (2022)

Gender classification in Bangla language using deep learning-based voice analysis
nork: Hakim, Talukder Juhaer, et al.
Argitaratua: (2024)

Deep learning-based waste classification system for efficient waste management
nork: Nakib, Abdullah Al, et al.
Argitaratua: (2022)

Visual object classification from fMRI data
nork: Newaz, Syed Mishar, et al.
Argitaratua: (2022)

An efficient deep learning approach to detect skin Cancer
nork: Islam, Ashfaqul, et al.
Argitaratua: (2022)

Damaged road detection using Image Processing and Deep Learning
nork: Swadesh, Shimran Mahbub, et al.
Argitaratua: (2022)

Predicting crime using deep learning
nork: Shihab, Muhammad Nafees, et al.
Argitaratua: (2024)

Corn leaf disease detection using deep convolution neural network
nork: Rabbi, Rawhatur, et al.
Argitaratua: (2023)

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

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
nork: Rayhan, Mohammad, et al.
Argitaratua: (2020)

Diabetic retinopathy detection and classification by using deep learning
nork: Hossain, Shahriar, et al.
Argitaratua: (2022)

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

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
nork: Athina, Fahima Hasan, et al.
Argitaratua: (2022)

Application of CNN based architectures in detection of distracted drivers
nork: Arafin, Irfana, et al.
Argitaratua: (2023)

Traffic sign recognition using deep learning
nork: Amir, Afia Binte, et al.
Argitaratua: (2020)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
nork: Zishan, Md Abu Obaida, et al.
Argitaratua: (2023)

Cancer classification using deep learning from medical image data
nork: Monir, Raiyan Janik, et al.
Argitaratua: (2022)

Deep learning-based real-time pothole detection for avoiding road accident
nork: Basher, Rafsan, et al.
Argitaratua: (2022)

An interpretable transformer based approach to classify Malaria from blood cell images
nork: Islam, Mehafuza, et al.
Argitaratua: (2023)

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

Yoga posture recognition using the deep learning process
nork: Islam, Abidul, et al.
Argitaratua: (2023)

Application of deep learning in MRI classification of Schizophrenia
nork: Joyee, Ramisa Fariha, et al.
Argitaratua: (2024)

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

Facial expression recognition: convolutional attentional masking network and ensemble approach
nork: Kowsar, Ibna, et al.
Argitaratua: (2021)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
nork: Bhuiyan, Abir Ahammed, et al.
Argitaratua: (2024)

Document template identification and data extraction using machine learning and deep learning approach
nork: Roy, Kaushik, et al.
Argitaratua: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
nork: Sakir, Adnan, et al.
Argitaratua: (2023)

Prostate cancer detection using deep learning neural network with transfer learning approach
nork: Badhon, Ariful Islam Mahmud, et al.
Argitaratua: (2022)

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

Deep Learning based Bangla Voice to Braille Character Conversion System
nork: Iqbal, Syed Bayes, et al.
Argitaratua: (2022)

Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
nork: Joy, Tanvir Ahmed, et al.
Argitaratua: (2021)

Bang-lish sentiment classification using deep learning
nork: Saleheen, Abrar, et al.
Argitaratua: (2023)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
nork: Tasnim, Sadia, et al.
Argitaratua: (2023)

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

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
nork: Hassan, Mehadi, et al.
Argitaratua: (2021)

A deep learning approach towards soft biometrics attributes prediction using CNN
nork: Kibria, Maharab, et al.
Argitaratua: (2022)