Results 121 to 130 of about 12,664 (249)

Development of a Real-Time Traffic Density Detection Website Using YOLOv8-Based Digital Image Processing with OpenCV

Journal of Information Systems and Informatics
This study introduces a real-time traffic density monitoring system utilizing YOLOv8-based digital image processing to improve traffic management efficiency.
Rizki Juliansyah, Muhammad Aqil Musthafa Ar Rachman, Muhammad Al Amin, Aisya Tyanafisya, Nurrizkyta Aulia Hanifah, Endang Purnama Giri, Gema Parasti Mindara   +6 more
doaj   +1 more source

Rice Growth-Stage Recognition Based on Improved YOLOv8 with UAV Imagery [PDF]

Wenxi Cai, Kunbiao Lu, Meijun Fan, Changjiang Liu, Wenjie Huang, Jiaju Chen, Zhaocong Wu, Chudong Xu, Xu Ma, Suiyan Tan   +9 more
openalex   +1 more source

Life history induces markedly divergent insect responses to habitat loss

Journal of Animal Ecology, Volume 95, Issue 1, Page 54-64, January 2026.
This study pioneers the use of deep learning to rapidly assess over 22,000 Amazonian insects, revealing life history‐dependent winners and losers from forest loss. It shows that terrestrial insects decline while aquatic insects thrive, with body size influencing dispersal, offering key insights for biodiversity conservation in tropical fragmented ...
Lucas F. Colares, Carlos A. Peres, Cristian S. Dambros   +2 more
wiley   +1 more source

Automated Detection of Digital Alcohol Marketing Using SCANNER: An Integrated Deep‐Learning Approach

Drug and Alcohol Review, Volume 45, Issue 1, January 2026.
ABSTRACT Introduction Alcohol marketing significantly influences consumption patterns, particularly among youth, heavy drinkers and women. Digital platforms have amplified this impact through targeted, immersive campaigns. However, monitoring such marketing remains a challenge due to its opaque and dynamic nature. This study introduces SCANNER Alcohol,
Florentine Martino, Navoda Liyana Pathirana, Luai Saif, Asim Bhatti, Kathryn Backholer   +4 more
wiley   +1 more source

Detection of Dens Invaginatus on Panoramic Radiographs Using Deep Learning Algorithms

International Journal of Paediatric Dentistry, Volume 36, Issue 1, Page 59-66, January 2026.
ABSTRACT Background Dens invaginatus is a developmental dental anomaly characterized by enamel folding into the dental papilla during odontogenesis. Early detection allows for appropriate management and reduces the risk of complex treatments. Aim This study aimed to evaluate the success and reliability of YOLOv5 and YOLOv8 deep learning models with two
Esra Nur Akgül, Burcu Gucyetmez Topal
wiley   +1 more source

Crossing scales and eras: Correlative multimodal microscopy heritage studies

Journal of Microscopy, Volume 301, Issue 1, Page 40-68, January 2026.
Abstract The comprehensive characterisation of complex, irreplaceable cultural heritage artefacts presents significant challenges for traditional analytical methods, which can fall short in providing multi‐scale, non‐invasive analysis. Correlative Multimodal Microscopy (CoMic), an approach that integrates data from multiple techniques, offers a ...
Charles Wood, George Deakin, Atousa Moayedi, Jovana Radulovic   +3 more
wiley   +1 more source

Development and evaluation of an AI model for dental implant type detection: A comparison of diagnostic accuracy between a deep learning model and dental professionals

Journal of Prosthodontics, Volume 35, Issue 1, Page 81-93, January 2026.
Abstract Purpose To develop a deep‐learning system for identifying five dental implant brands from periapical radiographs and compare its diagnostic accuracy with dental professionals and evaluate successive You Only Look Once (YOLO) architectures (v7–v12) to justify model selection.
Walaa Magdy Ahmed, Amr Ahmed Azhari, Abdulrahman Almufti, Zainab Majed Alsadah, Amr Fawzy Abdelhamid Ahmed, Anas Lahiq, Khaled Ahmed Fawaz   +6 more
wiley   +1 more source

OGS-YOLOv8: Coffee Bean Maturity Detection Algorithm Based on Improved YOLOv8

Applied Sciences
This study presents the OGS-YOLOv8 model for coffee bean maturity identification, designed to enhance accuracy in identifying coffee beans at different maturity stages in complicated contexts, utilizing an upgraded version of YOLOv8. Initially, the ODConv (full-dimensional dynamic convolution) substitutes the convolutional layers in the backbone and ...
Nannan Zhao, Yongsheng Wen
openaire   +1 more source

End‐to‐End Convolutional Neural Networks Training on Stable Diffusion Deepfake Imagery for Precise Early Weed Detection

Weed Research, Volume 66, Issue 1, January/February 2026.
ABSTRACT The integration of optical sensor systems with advancements in artificial intelligence for image processing presents a promising avenue for the broader implementation of site‐specific weed management (SSWM). Convolutional neural networks (CNNs) have significantly advanced the field of weed detection.
Adrià Gómez, Hugo Moreno, Dionisio Andújar   +2 more
wiley   +1 more source

SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes

Object detection as part of computer vision can be crucial for traffic management, emergency response, autonomous vehicles, and smart cities. Despite significant advances in object detection, detecting small objects in images captured by distant cameras remains challenging due to their size, distance from the camera, varied shapes, and cluttered ...
Khalili, Boshra, Smyth, Andrew W.
openaire   +2 more sources