Results 121 to 130 of about 19,743 (267)

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

UrbanClipAtlas: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos

Computer Graphics Forum, EarlyView.
Abstract Extracting actionable insights from long‐duration urban videos is often labor‐intensive: analysts must manually sift through raw footage to pinpoint target events or uncover broader behavioral trends. In this work, we present UrbanClipAtlas, a visual analytics system for exploring long urban videos recorded at street intersections ...
Joel Perca, Luis Sante, Juanpablo Heredia, Joao Rulff, Claudio Silva, Jorge Poco   +5 more
wiley   +1 more source

Fog-Adaptive-YOLO: A lightweight model for insulator defect detection. [PDF]

PLoS One
Jin X, Zhao Y, Shen W, Guo Z, Gao J, Yuan B, Zhu X.   +6 more
europepmc   +1 more source

Artificial intelligence for detection and segmentation of accessory root canals in endodontic imaging: A systematic review

European Journal of Oral Sciences, EarlyView.
Abstract Accessory root canal anatomy, including second mesiobuccal (MB2) and middle mesial canals (MMC), is difficult to identify and may compromise endodontic outcomes when missed, supporting artificial intelligence (AI)‐based diagnostic tools. This systematic review (CRD420261415943) included studies evaluating AI models for accessory canal or root ...
Hugo Henrique dos Santos Dantas Guimarães, Karla Nogueira Matos   +1 more
wiley   +1 more source

Edge-Enhance YOLO for Steel Surface Defect Detection. [PDF]

J Imaging
Li R, Lin M.
europepmc   +1 more source

Mamba‐Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata

International Endodontic Journal, EarlyView.
ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee, Yudam Park, Sunil Kim, Ikbeom Jang   +3 more
wiley   +1 more source

GS-YOLO: A lightweight high-accuracy model for small target detection in drone aerial images. [PDF]

PLoS One
Jin X, Zhu X, Kang D, Shen W, Zhao Y, Li X, Yuan B, Zhao Y.   +7 more
europepmc   +1 more source

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta‐Analysis

International Endodontic Journal, EarlyView.
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad, Raidan Ba‐Hattab, Sadeq Ali Al‐Maweri, Faleh Tamimi   +3 more
wiley   +1 more source

Real-Time Markerless Tooth Detection Towards Dynamic Robot-Assisted Dental Implant Navigation. [PDF]

Dent J (Basel)
Bulbucan V, Pisla D, Tucan P, Dinu C, Vaida C, Mocan R, Baciut M, Stoia S, Hedesiu M, Zima I, Pisla D, Team Project Group.   +11 more
europepmc   +1 more source

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