Results 91 to 100 of about 28,970 (210)

Face Race Classification using ResNet-152 and DenseNet- 121

Jurnal Elkomika
ABSTRAK Penelitian ini bertujuan untuk membandingkan hasil kinerja arsitektur ResNet-152 dan DenseNet-121 dalam mengklasifikasikan wajah berdasarkan ras. Ras yang diklasifikasikan terdiri dari 4 kelas: Putih, Hitam, India, dan Asia.
JASMAN PARDEDE, SYAFIQ SALIM KLEB
doaj   +1 more source

Advancing Marine Bioacoustics With Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese, Fabio Frazao, Michael Dowd, Ruth Joy   +3 more
wiley   +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

Dense Convolutional Binary-Tree Networks for Lung Nodule Classification

IEEE Access, 2018
This paper investigates the problem of benign or malignant diagnosis of pulmonary nodule with original thoracic computed tomography images, and presents a novel end-to-end deep learning architecture named dense convolutional binary-tree network ...
Yijing Liu, Pengyi Hao, Peng Zhang, Xinnan Xu, Jian Wu, Wei Chen   +5 more
doaj   +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

Spectral Norm Regularization for Improving the Generalizability of Deep Learning

, 2017
We investigate the generalizability of deep learning based on the sensitivity to input perturbation. We hypothesize that the high sensitivity to the perturbation of data degrades the performance on it.
Yoshida, Yuichi, Miyato, Takeru
core  

The Impact of Training Dental Students to Use an Artificial Intelligence–Based Platform for Pulp Exposure Prediction Prior to Deep Caries Excavation: A Proof‐of‐Concept Randomised Controlled Trial

International Endodontic Journal, Volume 59, Issue 6, Page 1248-1256, June 2026.
ABSTRACT Aim This study evaluated the effect of a short, personalised training session on student performance in using an artificial intelligence (AI)‐based platform for pulp exposure prediction before caries excavation and determined the required sample size for a further randomised controlled trial (RCT).
Shaqayeq Ramezanzade, Tudor Laurentiu Dascalu, Azam Bakhshandeh, Sergio E. Uribe, Bulat Ibragimov, Lars Bjørndal   +5 more
wiley   +1 more source

Transformer‐Based Deep Learning Model for Predicting Recurrence in High‐Grade Glioma

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Introduction The first year after treatment for high‐grade glioma (HGG) is recognized as the peak interval for recurrence. Accurate prediction of recurrence during this period is critical for timely management and early intervention. This study aimed to develop a fusion model that integrates MRI‐derived features with clinical variables ...
Xin Wang, Mingjun Ding, Dan Zong, Pudong Qian, Xia He   +4 more
wiley   +1 more source

ICAG‐Net: An Interactive CNN–Transformer Architecture With Attention‐Guided Gated Fusion for Crop Disease Detection

Engineering Reports, Volume 8, Issue 5, May 2026.
This study presents an AI‐driven approach to smart agriculture focused on early detection of crop diseases, especially fungal infections, to enhance food security. An ensemble model combining a Custom CNN for local feature extraction and a pretrained vision transformer (ViT) for global context analysis is proposed.
Kapil Arvind Chavan, Uttam U. Deshpande, Sudhindra B. Deshpande, Sowmyashree H. Srinivasaiah, Mukesh Kumar, Sukhdev B. Waghmode   +5 more
wiley   +1 more source

Investigating a three-dimensional convolution recognition model for acoustic emission signal analysis during uniaxial compression failure of coal

Geomatics, Natural Hazards & Risk
Acoustic emission predicts coal sample failure, vital for early warnings and monitoring. The study emphasizes using acoustic emission to predict coal sample failure patterns and establish a discriminative model for monitoring. It employs a lightweight 3D
Tao Wang, Zishuo Liu, Liyuan Liu
doaj   +1 more source