Approaching transfer learning to identify correctly worn facial masks

Approaching transfer learning to identify correctly worn facial masks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografski detalji
Glavni autori:	Sadid, Tausif, Hossain, Md Sadik, Sengupta, Sudip Kumar, Khondaker, Serazam Munira
Daljnji autori:	Chakrabarty, Amitabha
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	COVID-19 Machine Learning Deep Neural Network Climate Change Image Data Face Masks ResNet50 Inception v3 MobileNet v2 Softmax SVM
Online pristup:	http://hdl.handle.net/10361/15205

Similar Items

Masked face identification using face recognition
od: Hossen, Tareq, i dr.
Izdano: (2024)

Citrus leaf disease detection by image processing
od: Chowdhury, Mahir Faisal, i dr.
Izdano: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
od: Shahriar, Farhan, i dr.
Izdano: (2021)

Skin disease detection and classification using deep learning
od: Shuvon, Mehedi Hasan, i dr.
Izdano: (2022)

A deep face-mask detection model using DenseNet169 and image processing techniques
od: Bhowmik, Durjoy, i dr.
Izdano: (2022)

Violent activity detection through surveillance camera using deep learning
od: Miah, Parvez, i dr.
Izdano: (2023)

A comparative study of lung cancer prediction using deep learning
od: Mugdho, Aka Mohammad, i dr.
Izdano: (2023)

The atlas of climate change : mapping the world's greatest challenge /
od: Dow, Kirstin
Izdano: (2011)

Mask Mandates Save Lives /
od: Hansen, Niels-Jakob
Izdano: (2021)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
od: Khan, Farhan Sakib, i dr.
Izdano: (2022)

Fixing climate : the story of climate science - and how to stop global warming /
od: Kunzig, Robert
Izdano: (2009)

Procedure of investment project proposal in climate change company: an investment feasibility study model
od: Hasan, Rifat Sharah
Izdano: (2018)

Fighting climate change: industrialised countries should financially assist
od: The Daily Star
Izdano: (2014)

Effective utilization of climate change trust fund in adaptation programs in Bangladesh: a focus on stakeholder participation
od: Kabir, Syed Enamul
Izdano: (2014)

Climate change and urban resilience: a study on the city of Dhaka
od: Sultana, Najia
Izdano: (2018)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
od: Niaz, H.M, i dr.
Izdano: (2024)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
od: Mashraf, Chowdhury Zerif, i dr.
Izdano: (2021)

Analyzing students’ concentration in online courses through Webcam
od: Asif, Md., i dr.
Izdano: (2024)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
od: Promita, Samanta Tabassum, i dr.
Izdano: (2022)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
od: Rahman, Afridi Ibn, i dr.
Izdano: (2022)

Situation analysis on climate change : ecosystems for life: a Bangladesh-India initiative
od: Shreelakshmi, K
Izdano: (2012)

In quest of a shared planet : negotiating climate from the Global South /
od: Khan, Naveeda Ahmed, 1969-
Izdano: (2023)

The economics and politics of climate change /
Izdano: (2011)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
od: Awwal, Alvina, i dr.
Izdano: (2021)

Climate change and poverty :
od: Fitzpatrick, Tony

IPCC workshop on socio-economic scenarios : workshop report /
Izdano: (2012)

Bangladesh development series, paper no. 28 : The cost of adapting to extreme weather events in a changing climate
Izdano: (2011)

IGES discussion papers on climate change (FY1998) : for the design of effective framework of Kyoto mechanisms
Izdano: (1999)

Climate change mitigation : urban context /
od: Sohag, Kamrul Hasan
Izdano: (2014)

An efficient approach for recyclable waste detection and classification using image processing techniques
od: Chowdhury, Prabal Kumar, i dr.
Izdano: (2024)

Adapting to a changing environment
od: McClanahan, T. R.

Identifying brain abnormalities using image processing and CNN models
od: Talukder, Ismat Shehrin, i dr.
Izdano: (2021)

Climate and food security : papers persented at the International Symposium on Climate Variability and Food Security in Developing Countries, 5-9 February 1987 New Delhi, India /
Izdano: (1989)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
od: Athina, Fahima Hasan, i dr.
Izdano: (2022)

Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
od: Al-imran, i dr.
Izdano: (2019)

Climate change in Asia and the Pacific : how can countries adapt? /
Izdano: (2012)

Impact of climate change on socio-economic conditions of Bangladesh /
Izdano: (2013)

Vulnerability and adaptation to climate change for Bangladesh /
Izdano: (1999)

Climate justice : a man-made problem with a feminist solution /
od: Robinson, Mary, 1944-
Izdano: (2019)

Bone age comparison using convolutional neural network
od: Nawaz, Fariha, i dr.
Izdano: (2019)