Results 81 to 90 of about 982 (204)

Voter Authentication Using Enhanced ResNet50 for Facial Recognition

Signals
Electoral fraud, particularly multiple voting, undermines the integrity of democratic processes. To address this challenge, this study introduces an innovative facial recognition system that integrates an enhanced 50-layer Residual Network (ResNet50 ...
Aminou Halidou, Daniel Georges Olle Olle, Arnaud Nguembang Fadja, Daramy Vandi Von Kallon, Tchana Ngninkeu Gil Thibault   +4 more
doaj   +1 more source

An Attention-Enhanced Lightweight CNN Framework with MTCNN Detection and TripletEmbedding Recognition for Occlusion-Robust Automated Attendance from Surveillance Video

Manual and card/barcode-based attendance recording remains slow, error-prone, and vulnerable to proxy marking, motivating fully automated, camera-based alternatives for schools and organizations.
Keerthana B., Lohith C.
core   +1 more source

Визначення напрямку оберту голови людини за зображенням у 3D

, 2022
У ході дослідження показана ефективність використання методу дистиляції знань, який застосовано до задачі знаходження напрямку облич на зображенні.
Сайтарли Олексій Юрійович
core  

Robust Face Recognition Using Deep Learning and Ensemble Classification

IEEE Access
Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments.
Pavani Chitrapu, Mahesh Kumar Morampudi, Hemantha Kumar Kalluri   +2 more
doaj   +1 more source

A Deep Learning Approach for Early Detection of Facial Palsy in Video Using Convolutional Neural Networks: A Computational Study

Computers
Facial palsy causes the face to droop due to sudden weakness in the muscles on one side of the face. Computer-added assistance systems for the automatic recognition of palsy faces present a promising solution to recognizing the paralysis of faces at an ...
Anuja Arora, Jasir Mohammad Zaeem, Vibhor Garg, Ambikesh Jayal, Zahid Akhtar   +4 more
doaj   +1 more source

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.

, 2019
Objective: We implement 2 different multitask learning (MTL) techniques, hard parameter sharing and cross-stitch, to train a word-level convolutional neural network (CNN) specifically designed for automatic extraction of cancer data from unstructured ...
Yoon, Hong Jun, Christian, J Blair, Gao, Shang, Mumphrey, Brent, Qiu, John X, Penberthy, Lynne, Coyle, Linda, Alawad, Mohammed, Wu, Xiao-Cheng, Tourassi, Georgia   +9 more
core   +1 more source

Precise PIV Measurement in Low SNR Environments Using a Multi-Task Convolutional Neural Network

Journal of Marine Science and Engineering
Particle Image Velocimetry (PIV) is essential in experimental fluid mechanics, providing nonintrusive flow field measurements. Among the recent advances in PIV algorithms, deep-learning-based optical flow estimation is distinguished by its high spatial ...
Yichao Wang, Chenxi You, Di Peng, Pengyu Lv, Hongyuan Li   +4 more
doaj   +1 more source

AGE, ETHNICITY AND EMOTION RECOGNITION USING MTCNN

International Journal of Engineering Applied Sciences and Technology, 2020
Anuj Mishra, Amit Kumar Pandey, Ahmad Affan, Akarsh Kumar, Dr. Swati Singh   +4 more
openaire   +1 more source

Sistema de reconocimiento facial en video basado en Deep Learning utilizando MTCNN y VGG-16 con Transfer Learning para identificación de personajes

ReCIBE
El reconocimiento automático de rostros ha evolucionado significativamente con el uso de técnicas de aprendizaje profundo, permitiendo sistemas más robustos ante variaciones de iluminación, pose y expresión. En este trabajo se presenta la implementación
Rodrigo Hernandez Moncayo, Alejandra Guadalupe Bravo García, Andric Javier Rodríguez Gutiérrez, Antonio Ocampo Muñoz, Asdrúbal López Chau   +4 more
doaj  

POWER OF ALIGNMENT: EXPLORING THE EFFECT OF FACE ALIGNMENT ON ASD DIAGNOSIS USING FACIAL IMAGES

International Islamic University Malaysia Engineering Journal
Autism Spectrum Disorder (ASD) is a developmental disorder that impacts social communication and conduct. ASD lacks standard treatment protocols or medication, thus early identification and proper intervention are the most effective procedures to treat ...
Muhammad Mahbubur Rashid, Mohammad Shafiul Alam   +1 more
doaj   +1 more source