Results 71 to 80 of about 15,951 (227)

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

International Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais, Richard Gault, Jamie Toole, Aysar Khudair, Omer Butt, Ikhlas El‐Karim   +5 more
wiley   +1 more source

Aplikasi Deteksi Otomatis Hukum Tajwid Utama pada Ayat Al-Qur’an menggunakan YOLOv8

Edumatic
Tajwid learning faces challenges in visually recognizing recitation rules from Arabic script, thus requiring an interactive and accurate digital medium.
Arfiansah Arfiansah, Mohammad Nasucha
doaj   +1 more source

YOLOV8-MR: An Improved Lightweight YOLOv8 Algorithm for Tomato Fruit Detection

IEEE Access
As one of the widely planted fruit and vegetable crops, real-time monitoring of the tomato growth process is crucial for enhancing production and maintaining quality. To fulfill the requirement for real-time detection, we introduce an enhanced tomato target detection approach utilizing the YOLOv8n model, offering essential technical assistance for both
Xu Li, Changhan Cai, Yue Yang 0015, Bo Song   +3 more
openaire   +3 more sources

Spectral Transforms as a Tool to Optimize Digital Phenotyping in Biological Images

Journal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Modern livestock breeding has mastered genotyping. Genome‐wide association studies, genomic selection, and SNP arrays enable genetic merit prediction at lower cost. However, phenotyping remains the bottleneck, as manual measurement is slow, expensive, subjective, and unable to capture spatial or temporal trait organization. Digital phenotyping
Joseane Padilha, Jose Victor Vieira Isola, Elsio Antonio Pereira de Figueiredo   +2 more
wiley   +1 more source

Optimasi Deteksi Objek pada Video dengan Kompresi Region of Interest menggunakan Model YOLOv8

Edumatic
The demand for real-time object detection systems, such as those used in video surveillance and autonomous vehicles, drives the need for efficient data storage and transmission without compromising accuracy.
Azhryl Assagaf, Muis Muhtadi
doaj   +1 more source

Advancing collagen‐related pathology assessment through second‐harmonic generation imaging

Journal of Microscopy, EarlyView.
Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues, Manikanth Karnati, Gagan Raju, Edwin Pious, Ankur Gogoi, Guan‐Yu Zhuo, Nirmal Mazumder, Fu‐Jen Kao   +7 more
wiley   +1 more source

Infrared Object Detection Method Based on DBD-YOLOv8

, 2023
An innovative and improved method for infrared object detection, namely DBD-YOLOv8 (DCN-BiRA-DyHeads-YOLOv8), is presented. The inherent limitations of the YOLOv8 model in scenarios with a low signal-to-noise ratio and complex tasks are addressed, with a
Baihe Lang, Zhengxun Song, Lingyun Shen
core   +1 more source

Research on deep learning-based affiliated obstacle identification of overhead transmission line

Diance yu yibiao
The overhead line patrol robot plays an important role in improving the line maintenance efficiency and ensuring the safe and stable operation of power system.
CHI Xingjiang, PAN Jinhu, GENG Junwei
doaj   +1 more source

Bioimage management and analysis in Galaxy: Tools, workflows, training, and community practices

Journal of Microscopy, EarlyView.
ABSTRACT Image analysis in the life sciences is constrained by fragmented software ecosystems, heterogeneous data formats, and limited reproducibility. These barriers hinder the reuse of image analysis methods and the sustainability of tools. In this article, we describe how the Galaxy platform enables FAIR (Findable, Accessible, Interoperable, and ...
Leonid Kostrykin, Riccardo Massei, Diana Chiang, Thomas Wollmann, Jean‐Marie Burel, David Lopez Tabernero, Yi Sun, Qi Gao, Maarten W. Paul, Pavankumar Videm, Cameron Watson, Daniel Franco‐Barranco, Anup Kumar, Nadia Goué, Reyhaneh Tavakoli Koopaei, Vladimír Ulman, Khaled Jum'ah, Krzysztof Poterlowicz, Martin Etzrodt, Arrate Muñoz‐Barrutia, Sylvia E. Le Dévédec, Josh Moore, Jeremy Goecks, Bjoern Gruening, Karl Rohr, Beatriz Serrano‐Solano   +25 more
wiley   +1 more source

Bangladeshi crops leaf disease detection using YOLOv8

The agricultural sector in Bangladesh is a cornerstone of the nation’s economy, with key crops such as rice, corn, wheat, potato, and tomato playing vital roles.
Hossen, Md. Jakir, Mazumder, Shazzad Hossain, Al Mamun, Abdullah, Jahan, Busrat, Hossain Mazumder, Shazzad, Al Mamun, Abdullah Sarwar, Abid, Md Shahriar Zaman, Zaman Abid, Md. Shahriar, Hossen, Md Jakir   +8 more
core   +1 more source