Results 101 to 110 of about 17,375 (236)

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

Web service with machine learning model for airspace monitoring

Вестник Дагестанского государственного технического университета: Технические науки
Objective. The goal is to develop a web service for detecting aerial objects that detects a flying object, highlights it in an image and classifies it as a threat, since modern aerial object detection systems do not always cope with the task of detecting
A. D. Popov
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

Automated Indonesian Plate Recognition: YOLOv8 Detection and TensorFlow-CNN Character Classification

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The precise identification and reading of Indonesian vehicle number plates are important in many areas, including the enforcement of law, collection of charges, management of parking areas, and safety measures. This study integrates the implementation of
Windu Gata, Dwiza Riana, Muhammad Haris, Maria Irmina Prasetiyowati, Dika Putri Metalica   +4 more
doaj   +1 more source

An Angler‐Friendly AI Pipeline for Self‐Reporting and Automatic Catch Analysis in Recreational Fisheries

Fish and Fisheries, EarlyView.
ABSTRACT Monitoring recreational fisheries is difficult: anglers are widely dispersed, gear and practices vary, and many species are involved, which leads to fragmented and scarce data. To address these issues, we developed an Artificial Intelligence (AI) pipeline that turns angler‐reported photos into standardised records of catch composition and ...
Marco Signaroli, Bernat Morro, Eugenio Cutolo, Ignacio A. Catalán, Inmaculada Riera, Antoni Mira, Clara Mecinas, Antoni M. Grau, Yolanda Gonzalez‐Cid, Josep Alós   +9 more
wiley   +1 more source

DEAL-YOLO: Drone-based Efficient Animal Localization using YOLO

Accepted as a Poster at the ML4RS Workshop at ICLR ...
Naidu, Aditya Prashant, Gosalia, Hem, Gakhar, Ishaan, Rathore, Shaurya Singh, Didwania, Krish, Verma, Ujjwal   +5 more
openaire   +2 more sources

OralSegNet: An Approach to Early Detection of Oral Disease Using Transfer Learning

Oral Diseases, EarlyView.
ABSTRACT Objective Deep learning‐based segmentation system is proposed that exploits three variants of YOLOv11 architecture, namely YOLOv11n‐seg, YOLOv11s‐seg, and YOLOv11m‐seg for automated detection and localization of the oral disease conditions from photographic intraoral images.
Pranta Barua, Md Rakibul Islam, Mahmud Uz Zaman, Adel Alenazi, Fawaz Alqahtani, Huda Abutayyem, Maher Al Shayeb, Ruba Odeh, Nesrine A. Elsahn, Mohammad Khursheed Alam   +9 more
wiley   +1 more source

YOLO-Former: YOLO Shakes Hand With ViT

The proposed YOLO-Former method seamlessly integrates the ideas of transformer and YOLOv4 to create a highly accurate and efficient object detection system. The method leverages the fast inference speed of YOLOv4 and incorporates the advantages of the transformer architecture through the integration of convolutional attention and transformer modules ...
Khoramdel, Javad, Moori, Ahmad, Borhani, Yasamin, Ghanbarzadeh, Armin, Najafi, Esmaeil   +4 more
openaire   +1 more source

Assessment of Apple Blotch (Diplocarpon coronariae) Symptom Progression on Malus × domestica Leaves

Plant Breeding, EarlyView.
ABSTRACT Apple blotch is a fungal disease of increasing importance in European apple cultivation. Infection by Diplocarpon coronariae leads to premature leaf abscission in summer, weakening tree vigour and exacerbating harvest losses. Developing resistant cultivars represents a promising preventive strategy.
Sophie Richter, Monika Höfer, Henryk Flachowsky, Anne Bohr, Sascha Buchleither, Thomas Wöhner   +5 more
wiley   +1 more source