Results 111 to 120 of about 54,995 (246)

Una revisión sistemática de literatura sobre implementaciones de sistemas de control de tráfico

Interfases
La congestión vehicular es una problemática que se manifiesta frecuentemente en ciudades con alta población y puede deberse a diversos factores, como la incorrecta planificación civil o el transporte público deficiente.
Eduardo Rodrigo Wong Leon, Marco Antonio Coral Ygnacio   +1 more
doaj   +1 more source

Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model

Integrative Zoology, EarlyView.
This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li, Chengrui Shang, Xian Hou, Qi Wang, Jiao Wang, Taxing Zhang, Xiangjiang Zhan, Shengkai Pan   +7 more
wiley   +1 more source

Improved YOLOv7 model for insulator defect detection

Electronic Research Archive
Insulators are crucial insulation components and structural supports in power grids, playing a vital role in the transmission lines. Due to temperature fluctuations, internal stress, or damage from hail, insulators are prone to injury.
Zhenyue Wang, Guowu Yuan, Hao Zhou, Yi Ma, Yutang Ma, Dong Chen   +5 more
doaj   +1 more source

A general method for detection and segmentation of terrestrial arthropods in images

Methods in Ecology and Evolution, EarlyView.
Abstract Automated monitoring of insects and other arthropods is vital for ecological research and conservation; yet current image recognition tools often lack generalizability across diverse imaging conditions and struggle with varying specimen sizes. This limits their practical utility and wide adoption by ecologists.
Asger Svenning, Guillaume Mougeot, Jamie Alison, Daphne Chevalier, Nisa Chavez Molina, Song‐Quan Ong, Kim Bjerge, Juli Carrillo, Toke Thomas Høye, Quentin Geissmann   +9 more
wiley   +1 more source

Diagnostic Accuracy of Deep Learning Models in Detecting Peri‐Implant Marginal Bone Loss: A Systematic Review and Meta‐Analysis

Clinical Oral Implants Research, EarlyView.
ABSTRACT Background Peri‐implantitis is a common implant complication requiring early detection to prevent bone loss and implant failure. Deep learning models show promise for enhancing radiographic diagnosis. Objectives This review systematically evaluated the diagnostic performance of deep learning models in detecting peri‐implant marginal bone loss ...
Momen A. Atieh, Maanas Shah, Abeer Hakam, Fawaghi AlAli, Samhar AlSayed, Andrew Tawse‐Smith, Nabeel H. M. Alsabeeha   +6 more
wiley   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The application of an electronic violation detection system has begun to be implemented in many countries using CCTV cameras installed at highway and toll road points.
Erika Udayanti, Etika Kartikadarma, Fahri Firdausillah   +2 more
doaj   +1 more source

A New Experimental Setup to Study the Olfactory Behaviour of Trichogramma Egg Parasitoids

Entomologia Experimentalis et Applicata, EarlyView.
We developed an experimental setup to assess odor‐induced egg‐laying behavior in tiny egg‐parasitoid wasps. This Y‐shaped olfactometer, coupled with an AI‐based image‐recognition model, automatically quantifies egg parasitism by Trichogramma wasps. Olfactory‐driven egg‐laying preferences were analyzed using Bayesian inference.
Cécile Bresch, Louise van Oudenhove
wiley   +1 more source

Development of YOLO-Based Mobile Application for Detection of Defect Types in Robusta Coffee Beans

Journal of Applied Informatics and Computing
Improving the quality of Robusta coffee beans is a crucial challenge in the coffee industry to ensure that consumers receive high-quality products. However, the identification of defects in coffee beans is still largely performed manually, making the ...
Eko Dwi Nugroho, Miranti Verdiana, Muhammad Habib Algifari, Aidil Afriansyah, Hafiz Budi Firmansyah, Alya Khairunnisa Rizkita, Richard Arya Winarta, David Gunawan   +7 more
doaj   +1 more source

Design, Training, and Field Validation of a YOLOv8‐Based Automated Trap for Remote Detection of Codling Moth, Cydia pomonella

Entomologia Experimentalis et Applicata, EarlyView.
We developed and field‐validated a fully automated trap for Cydia pomonella monitoring, combining a camera with a YOLOv8 object‐detection model for remote insect identification. In controlled laboratory validation, the model showed strong performance (precision 0.77, recall 0.83), with moderate reductions under field conditions. Across six experiments,
Veronica Carnio, Michele Preti, Riccardo Favaro, Orneda Lecini, Giovanni Giannotta, Sergio Angeli   +5 more
wiley   +1 more source