Results 91 to 100 of about 39,255 (224)

Artificial Intelligence in Periodontology: A Systematic Review

Journal of Periodontal Research, EarlyView.
AI shows promise across periodontology, with deep learning achieving strong performance for image‐based diagnosis of periodontitis. However, limited data diversity, inconsistent metrics, and scarce external validation raise concerns about generalizability and clinical applicability.
Antonin Tichy, Nils Werner, Helena Dujic, Charlotte Wetzel, Vinay Pitchika, Caspar Victor Bumm, Matthias Folwaczny, Falk Schwendicke   +7 more
wiley   +1 more source

A Comparison Analysis Between ResNET50 and XCeption for Handwritten Hangeul Character using Transfer Learning

JOIN: Jurnal Online Informatika
The enthusiasm for Korean pop culture in Indonesia has contributed to a growing interest in learning the Korean language, including its writing system, Hangeul, which currently ranks as the 6th most studied language. Hangeul has a unique structure, where
Dede Kurniadi, Nabila Putri Nurhaliza, Benedicto B. Balilo Jr, Hilmi Aulawi, Asri Mulyani   +4 more
doaj   +1 more source

Image Caption Generator Using Densenet201 and Resnet50

International Journal of Future Computer and Communication
Image Caption generation is an important research area in computer vision and natural language processing. This paper compares two popular Convolutional Neural Network (CNN) architectures, DenseNet201 and ResNet50, for feature extraction in the title generation task.
openaire   +1 more source

Osteoporosis Prediction Using VGG16 and ResNet50

International Journal of Innovative Science and Research Technology (IJISRT)
Low bone mass and structural degradation are the hallmarks of osteoporosis, a disorder that increases the risk of fractures, especially in the elderly. For prompt intervention and fracture prevention, early identification is essential. However, osteoporosis is frequently not detected until advanced stages by existing diagnostic techniques.
Ashadu Jaman Shawon, Ibrahim Ibne Mostafa Gazi, Humaira Rashid Hiya, Ajoy Roy   +3 more
openaire   +1 more source

Sector Classification of Unerupted Maxillary Canines: A Deep Learning‐Based Automated Framework Using Panoramic Radiographs

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Objectives To develop a deep learning‐based framework to automate sector classification of unerupted maxillary canines (UMCs), assessing its accuracy and reliability compared to human ones. Material and Methods One thousand five hundred twenty‐eight UMCs from digital panoramic radiographs (PRs) were selected using data from the Dental ...
Marzio Galdi, Davide Cannatà, Flavia Celentano, Luigia Rizzo, Domenico Rossi, Tecla Bocchino, Genoveffa Tortora, Stefano Martina   +7 more
wiley   +1 more source

Recognition of the emotional state based on a convolutional neural network

Научно-технический вестник информационных технологий, механики и оптики
The paper proposes a new solution for recognizing the emotional state of a person (joy, surprise, sadness, anger, disgust, fear, and neutral state) by facial expression.
G. M. Soma, A. M. Kadnova
doaj   +1 more source

Affordable Phenomics special topic—Foreword for The Plant Phenome Journal

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract The Affordable Phenomics special topic in The Plant Phenome Journal showcased recent advances that expand the accessibility, cost‐effectiveness, and scalability of plant phenotyping technologies. This collection of 15 articles presented innovative approaches, ranging from low‐cost sensors and open‐source analytical pipelines to artificial ...
Valerio Hoyos‐Villegas, Michael A. Gore   +1 more
wiley   +1 more source

Implementation and Comparative Analysis of CNN and Transfer Learning Models (EfficientNetB0, MobileNetV2, and ResNet50) for Rice Leaf Disease Detection Based on Digital Images

Journal of Applied Informatics and Computing
Rice leaf diseases significantly reduce agricultural productivity, making early and accurate detection essential, particularly in rice-producing regions such as Indonesia.
Tri Wahyu Utami, Mega Novita, Khoiriya Latifa   +2 more
doaj   +1 more source

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

Applied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain, Hrittik Mural, Monowar Wadud Hridoy   +2 more
wiley   +1 more source

Diversity Snapshots: Intermodal Analysis of Firm Diversity Discourse

Intelligent Systems in Accounting, Finance and Management, Volume 33, Issue 2, June 2026.
ABSTRACT Pictures are a powerful medium to communicate complex and emotive messages. In particular, the human face expresses corporate culture including diversity and equal opportunity. However, despite the recent visual turn in accounting and finance, quantitative research on diversity in photos is scant because automated solutions for identifying and
Jacqueline Gagnon, Alisher Mansurov
wiley   +1 more source