Results 101 to 110 of about 12,214 (239)

A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems

IEEE Access
In the field of traffic surveillance systems, where effective traffic management and safety are the primary concerns, vehicle detection and tracking play an important role.
Nouf Abdullah Almujally, Asifa Mehmood Qureshi, Abdulwahab Alazeb, Hameedur Rahman, Touseef Sadiq, Mohammed Alonazi, Asaad Algarni, Ahmad Jalal   +7 more
doaj   +1 more source

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong, Fan Lei, Dongliang Huang, Yuye Gong, Jide Wei, Wenjing She   +5 more
wiley   +1 more source

Coal and gangue recognition research based on improved YOLOv5

, 2022
The existing deep learning-based coal and gangue recognition methods are prone to false detection and missed detection when applied to underground complex environments. The recognition precision of small target coal and gangue is low.
ZHANG Shiru, ZHANG Ao, JI Liang, HUANG Zongliu, ZHANG Yuanhao   +4 more
core   +1 more source

DepthPark: Smart, Cost‐Effective Vision‐Based Indoor Parking Management System Using Single Monocular Depth Estimation

Applied AI Letters, Volume 7, Issue 2, June 2026.
DepthPark is a cost‐effective indoor parking management system that uses monocular cameras, two fixed cameras, and one mobile camera per parking lane, together with deep learning. By combining license plate recognition, parking‐slot classification, and single‐frame depth estimation, the system enables real‐time occupancy monitoring and parking ...
Lakshay Naresh Ramchandani, Abdsamad Benkrid   +1 more
wiley   +1 more source

Helmet detection using YOLOv5

, 2023
Helmet detection is an essential task in computer vision and artificial intelligence, aimed at automatically identifying and localizing helmets in images or videos.
Pralhad Gore, Vivekanand
core  

Deep Learning-Based Real Time Human Detection System Using LiDAR Data for Smart Healthcare Monitoring

Current Directions in Biomedical Engineering
Continuous patient monitoring is a critical component in healthcare systems to ensure patient safety and well-being. Traditionally, this monitoring requires significant oversight by healthcare professionals, making it resourceintensive.
Kalashtari Niloofar, Huhs Niklas, Kraitl Jens, Hornberger Christoph, Simanski Olaf   +4 more
doaj   +1 more source

R‐YOLOv5s: Improved YOLOv5s for Object Detection in Low‐Light Environments

International Journal of Intelligent Systems
In response to the challenge of low detection accuracy exhibited by mainstream object detection models in low‐light environments, this paper proposes a novel detection model named R‐YOLOv5s. The model incorporates several key enhancements to address this issue.
Yimeng Xia, Yuanmei Wang, Hao Luo, Shengzhe Liu, Tao Li   +4 more
openaire   +1 more source

LCDLNet: Attention Mechanism‐Based Deep Learning Framework for Lung Cancer Diagnosis from Computed Tomography (CT) Images

Engineering Reports, Volume 8, Issue 6, June 2026.
LCDLNet, a deep learning architecture, achieved 99.81% accuracy and an AUC of 0.998 for lung cancer diagnosis. This model effectively integrates multiscale features from a Custom CNN, DenseNet121, and a Transformer, leveraging Squeeze‐and‐Excitation (SE) blocks and Spatial Attention to capture complex local and global context, ensuring robust ...
Farjana Akter Chumki, Tahasin Ahmed Fahim, Sabrina Alam   +2 more
wiley   +1 more source

Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory

, 2023
Due to their rapid development and wide application in modern agriculture, robots, mobile terminals, and intelligent devices have become vital technologies and fundamental research topics for the development of intelligent and precision agriculture ...
Mingfu Zhao, Meng Jia, Xuebin Qi, Xinfa Wang, Zhenwei Wu, Tao Xu, Canlin Pan   +6 more
core   +1 more source

GT-YOLO: Nearshore Infrared Ship Detection Based on Infrared Images

Journal of Marine Science and Engineering
Traditional visible light target detection is usually applied in scenes with good visibility, while the advantage of infrared target detection is that it can detect targets at nighttime and in harsh weather, thus being able to be applied to ship ...
Yong Wang, Bairong Wang, Lile Huo, Yunsheng Fan   +3 more
doaj   +1 more source