Results 101 to 110 of about 39,255 (224)
Brain tumor classification using MRI images is a significant challenge in medical diagnosis, requiring models with high accuracy and efficient training.
Muhammad Bayu Kurniawan, Ema Utami
doaj +1 more source
Classification of Diabetic Retinopathy Using ResNet50
Deep learning has been proposed as an automated solution for classifying the severity levels of Diabetic Retinopathy (DR). In this study, we utilized ResNet50 architecture to classify DR using the APTOS2019 dataset. As an initial step, we initialized the model with pre-trained weights from ResNet50 on ImageNet and implemented augmentation and ...
La Ode Ansyarullah S. Sagala +1 more
openaire +1 more source
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 +5 more
wiley +1 more source
Artificial Intelligence Powers Protein Functional Annotation
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang +4 more
wiley +1 more source
Towards interpretability: Assessment of residual networks for tomato leaf disease classification
The tomato occupies a prominent place in the Philippines' agricultural economy. However, tomato leaf diseases are challenges in tomato crop production leading to economic losses.
Raphael Berdin, Rob Christian Caduyac
doaj +1 more source
Wavelet-based GAN Fingerprint Detection using ResNet50
6 pages; Published in ...
Erukude, Sai Teja +2 more
openaire +2 more sources
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei +9 more
wiley +1 more source
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen +2 more
wiley +1 more source
Classification of Animal Behaviour Using Deep Learning Models
Damage to crops by animal intrusion is one of the biggest threats to crop yield. People who stay near forest areas face a major issue with animals. The most significant task in deep learning is animal behaviour classification. This article focuses on the
M. Sowmya +2 more
doaj +1 more source
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun +4 more
wiley +1 more source

