Comparative analysis between Inception-v3 and other learning systems using facial expressions detection

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection

Cataloged from PDF version of thesis report.

Bibliographic Details
Main Authors:	Nivrito, AKM, Wahed, Md. Rayed Bin
Other Authors:	Chakrabarty, Dr. Amitabha
Format:	Thesis
Language:	English
Published:	BRAC University 2016
Subjects:	Inception-V3 Facial expressions detection
Online Access:	http://hdl.handle.net/10361/6397

Similar Items

Use of gestures and facial expression in language acquisition
by: Fyrooz Binte Mohsin
Published: (2016)

An efficient facial expression recognition method using mean And standard deviation
by: Laboni, Pragna, et al.
Published: (2017)

MEDNET – an approach to facial micro-emotion recognition using pixel binning and local Binary pattern - convolutional neural network
by: Araf, Tashreef Abdullah
Published: (2024)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
by: Mashraf, Chowdhury Zerif, et al.
Published: (2021)

Study on human emotion based on facial expressions through human machine communication
by: Murshed, Tahmin Aysha, et al.
Published: (2021)

Smoke detection using deep Convolutional neural network
by: Niloy, Wahidul Hasan, et al.
Published: (2021)

Performance analysis of different machine learning approaches for single modal facial expression detection
by: Zinia, Surovi, et al.
Published: (2018)

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

A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
by: Islam, Abrar, et al.
Published: (2024)

Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
by: Hossain, Arafat, et al.
Published: (2023)

Obscure face recognition using deep neural networks
by: Akash, MD Shahadat Hossain, et al.
Published: (2023)

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

Detection of skin diseases using deep learning
by: Shodoy, Masuk Ur Rahman
Published: (2024)

Tomato leaf disease detection using convolutional neural network
by: Hasan, Md. Riazul, et al.
Published: (2023)

A twin prediction method using facial recognition feature
by: Nafees, Masnoon, et al.
Published: (2017)

Facial recognition using dynamic image processing
by: Haque, Md. Asiful, et al.
Published: (2017)

Approaching transfer learning to identify correctly worn facial masks
by: Sadid, Tausif, et al.
Published: (2021)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
by: Shahriar, Farhan, et al.
Published: (2021)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
by: Promita, Samanta Tabassum, et al.
Published: (2022)

Skin disease detection and classification using deep learning
by: Shuvon, Mehedi Hasan, et al.
Published: (2022)

Skin cancer classification for seven types of skin lesions
by: Rahman, Md. Tawsifur, et al.
Published: (2024)

Fire and disaster detection with multimodal quadcopter By machine learning
by: Afrin, Anika, et al.
Published: (2023)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
by: Tasnim, Nishat, et al.
Published: (2019)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
by: Khan, Farhan Sakib, et al.
Published: (2022)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
by: Rahman, Afridi Ibn, et al.
Published: (2022)

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

Brain tumor detection with convolutional neural network
by: Galib, Abrar Tahmid, et al.
Published: (2024)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
by: Nag, Pollock, et al.
Published: (2023)

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

A comparative study of lung cancer prediction using deep learning
by: Mugdho, Aka Mohammad, et al.
Published: (2023)

Facial recognition using empirical mode decomposition, Multi-linear principal component analysis and post-processing using expectation maximization algorithm
by: Chowdhury, Mabrur Mujib
Published: (2014)

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

A comparative study of traffic detection using Google map (GPS) and IoV
by: Alam, Mohd. Touhedul, et al.
Published: (2023)

A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
by: Chowdhury, Asif Hasan, et al.
Published: (2023)

Customer satisfaction to Expressions Limited
by: Mahmud, Md. Riaz
Published: (2020)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
by: Niaz, H.M, et al.
Published: (2024)

Covid-19 infected lung detection using machine learning
by: Islam, Md. Muntaha, et al.
Published: (2022)

Analyzing students’ concentration in online courses through Webcam
by: Asif, Md., et al.
Published: (2024)

Automatic attendance system using facial recognition
by: Sikdar, Tushar, et al.
Published: (2022)

Identifying brain abnormalities using image processing and CNN models
by: Talukder, Ismat Shehrin, et al.
Published: (2021)