Results 41 to 50 of about 12,701 (190)

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

Enhanced Deep Learning Approaches for Diagnosing Drilling Machine Failures Using Gramian Angular Field and Markov Transition Field Encoding

Journal of Applied Science and Engineering
In the era of Industry 4.0, applying deep learning models for analyzing sensor data in machinery is a fundamental step toward developing predictive maintenance strategies.
Aroui Tarek, Dorbez Fradj
doaj   +1 more source

Demand Estimation with Text and Image Data

The RAND Journal of Economics, EarlyView.
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani, Ilya Morozov, Stephan Seiler   +2 more
wiley   +1 more source

Deep residual network for three-dimensional (3-D) objects classification using phase-only digital holographic information

Journal of Intelligent Systems
The binary classification of three-dimensional (3-D) objects for phase-only digital holographic information is performed using the various deep learning network models such as ResNet50, ResNet101, ResNet152, ResNet18, ResNet34, EfficientNetB0 ...
Uma Mahesh Rajanahalli Nataraj, Chandrashekar Puttaswamy   +1 more
doaj   +1 more source

Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test

Fayixue Zazhi, 2022
ObjectiveTo select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognition to ...
ZHU Yong-zheng, ZHANG Ji, CHENG Qi, YU Hui-xiao, DENG Kai-fei, ZHANG Jian-hua, QIN Zhi-qiang, ZHAO Jian, SUN Jun-hong, HUANG Ping   +9 more
doaj   +1 more source

Training and validation of an automated algorithm to differentiate no and minimal diabetic retinopathy from more severe stages in wide‐field images

Acta Ophthalmologica, EarlyView.
Abstract Purpose Diabetic retinopathy (DR) is a leading cause of blindness in the working‐age population. Screening is essential to identify and treat sight‐threatening stages prior to irreversible visual loss. This study aimed to train and validate an automated algorithm to identify no or minimal DR, potentially saving resources for specialist ...
Lars Morten Skollerud, Jakob Kristian Andersen, Sebastian Dinesen, Thiusius Rajeeth Savarimuthu, Jakob Grauslund   +4 more
wiley   +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

Performance Comparison of VGG16, MobileNetV2, and InceptionV3 Convolutional Neural Networks in Classifying Facial Dermatological Conditions

Jambura Journal of Mathematics
This study investigates the performance of three convolutional neural network (CNN) architectures (VGG16, MobileNetV2 and InceptionV3) in classifying two common facial dermatological conditions: acne and dark spots.
Fadilah Karamun Nisaa Nadiyah, Nayla Nur Alifah, Sri Nurdiati, Elis Khatizah, Mohamad Khoirun Najib   +4 more
doaj   +1 more source

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

Deep-learning based detection of COVID-19 using lung ultrasound imagery.

PLoS ONE, 2021
BackgroundThe COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, especially in underdeveloped countries. There is a clear need to develop novel computer-assisted diagnosis tools to provide rapid and cost-effective screening
Julia Diaz-Escobar, Nelson E Ordóñez-Guillén, Salvador Villarreal-Reyes, Alejandro Galaviz-Mosqueda, Vitaly Kober, Raúl Rivera-Rodriguez, Jose E Lozano Rizk   +6 more
doaj   +1 more source