Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach

M Bie, Y Liu, G Li, J Hong, J Li - Expert Systems with Applications, 2023 - Elsevier
A vehicle detection algorithm is of great significance for automatic driving technology.
Current vehicle detection algorithms suffer from the complex structure, high configuration of …

Deepfake detection through deep learning

D Pan, L Sun, R Wang, X Zhang… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
Deepfakes allow for the automatic generation and creation of (fake) video content, eg
through generative adversarial networks. Deepfake technology is a controversial technology …

Skin lesions classification using deep learning based on dilated convolution

MAR Ratul, MH Mozaffari, WS Lee, E Parimbelli - BioRxiv, 2019 - biorxiv.org
The prediction of skin lesions is a challenging task even for experienced dermatologists due
to a little contrast between surrounding skin and lesions, the visual resemblance between …

Efficient and low-cost skin cancer detection system implementation with a comparative study between traditional and CNN-based models

LI Mampitiya, N Rathnayake… - … of Computational and …, 2023 - ojs.bonviewpress.com
Medical image classification is an essential task in the field of combining medical
applications with Artificial Intelligence. This study is carried out to introduce an accurate …

Applying a Convolutional Neural Network to Screen for Specific Learning Disorder.

NS Mor, K Dardeck - Learning Disabilities: A Contemporary Journal, 2021 - ERIC
Early detection is key to intervening with students diagnosed with a specific learning
disorder (SLD), which includes problems with spelling, grammar, punctuation, and clarity …

An imaging system based on deep learning for monitoring the feeding behavior of dairy cows

CY Kuan, YC Tsai, JT Hsu, ST Ding… - 2019 ASABE Annual …, 2019 - elibrary.asabe.org
Observation of animal behavior in dairy farms is necessary for precision livestock farming as
well as to prevent ailments that may affect the herd. Heat stress in dairy farms has been …

Intelligent vehicle collision-avoidance system with deep learning

YK Lai, CY Ho, YH Huang, CW Huang… - 2018 IEEE Asia …, 2018 - ieeexplore.ieee.org
In this paper, we demonstrate and evaluate a method to perform real-time object detection
with unmanned vehicle using the state of the art, MobileNets, with object detection algorithm …

Glokom Hastalığının Evrişimli Sinir Ağı Mimarileri ile Tespiti

M Uçar - Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve …, 2021 - dergipark.org.tr
Glokom, genellikle göz içi basıncının yükselmesi nedeniyle optik sinire zarar veren bir
hastalıktır ve dünya genelinde geri döndürülemez körlüğün yaygın bir sebebidir. Ancak …

Skeleton-based human action recognition with graph neural networks

US Vaitesswar - 2022 - dr.ntu.edu.sg
Skeleton-based action recognition is a long-standing task in computer vision which aims to
distinguish different human actions by identifying their unique characteristic patterns in the …

A survey on the techniques applied to the recognition and conversion of Indian sign language

KK Rao Mangalore, N Pradeep, B Rajpal… - Journal of applied …, 2021 - journal-aprie.com
The move to standardize Indian Sign Language has created an opportunity for researchers
to focus on solving local problems, to increase its reach. In this paper, a survey and …