Real-Time Navigation Roads: Lightweight and Efficient Convolutional Neural Network (LE-CNN) for Arabic Traffic Sign Recognition in Intelligent Transportation …
Smart cities are now embracing the new frontier of urban living, with advanced technology
being used to enhance the quality of life for residents. Many of these cities have developed …
being used to enhance the quality of life for residents. Many of these cities have developed …
Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers
S Mingwin, Y Shisu, Y Wanwag, S Huing - arXiv preprint arXiv:2404.19066, 2024 - arxiv.org
This research introduces an innovative method for Traffic Sign Recognition (TSR) by
leveraging deep learning techniques, with a particular emphasis on Vision Transformers …
leveraging deep learning techniques, with a particular emphasis on Vision Transformers …
Enhancing Forest Fire Detection: Utilizing VGG16 for High-Accuracy Image Classification and Machine Learning Integration
M Tan, H Bakır - 2024 8th International Artificial Intelligence and …, 2024 - ieeexplore.ieee.org
Forest fires cause significant problems for nature, communities. They damage forests,
animals' homes, and places where people live. The bad effects of forest fires go beyond just …
animals' homes, and places where people live. The bad effects of forest fires go beyond just …
Development of the Decentralized Biometric Identity Verification System Using Blockchain Technology and Computer Vision
G Uteyev, RF Gibadullin - 2024 International Russian Smart …, 2024 - ieeexplore.ieee.org
This article investigates the creation of a decentralized system for biometric-based identity
verification, integrating blockchain technology and computer vision. The goal is to provide a …
verification, integrating blockchain technology and computer vision. The goal is to provide a …
A Hybrid Model Combining Depthwise Separable Convolutions and Vision Transformers for Traffic Sign Classification Under Challenging Weather Conditions.
This research presents a novel deep-learning framework designed for traffic sign image
classification under adverse conditions, including rain, shadows, haze, codec errors, and …
classification under adverse conditions, including rain, shadows, haze, codec errors, and …
ВИЯВЛЕННЯ ОБ'ЄКТІВ НА ОСНОВІ ГЛИБОКОГО НАВЧАННЯ ДЛЯ АВТОНОМНОГО КЕРУВАННЯ: ЗАСТОСУВАННЯ ТА ВІДКРИТІ ПРОБЛЕМИ
С АВРАМЕНКО, Ж Тімур - … Computer Science, Software …, 2024 - journals.politehnica.dp.ua
Анотація Виявлення об'єктів є критично важливим компонентом систем автономного
водіння, що дозволяє точно ідентифікувати та локалізувати транспортні засоби …
водіння, що дозволяє точно ідентифікувати та локалізувати транспортні засоби …
[PDF][PDF] Stanislav AVRAMENKO
T ZHELDAK - journals.politehnica.dp.ua
Stanislav AVRAMENKO Національний технічний університет «Дніпровська політехніка»
INFORMATION TECHNOLOGY: COMPUTER SCIENCE, SOFTWARE ENGINEERING AND …
INFORMATION TECHNOLOGY: COMPUTER SCIENCE, SOFTWARE ENGINEERING AND …
[引用][C] Derin öğrenme yöntemleriyle trafik işaretlerinin gerçek zamanlı sınıflandırılması
K Usanmaz - 2024 - Başkent Üniversitesi Fen Bilimler …