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.

Xehetasun bibliografikoak
Egile Nagusiak:	Nivrito, AKM, Wahed, Md. Rayed Bin
Beste egile batzuk:	Chakrabarty, Dr. Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2016
Gaiak:	Inception-V3 Facial expressions detection
Sarrera elektronikoa:	http://hdl.handle.net/10361/6397

Antzeko izenburuak

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Customer satisfaction to Expressions Limited
nork: Mahmud, Md. Riaz
Argitaratua: (2020)

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

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

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

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

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