Results 101 to 110 of about 39,255 (224)

Performance Comparison of ResNet50, VGG16, and MobileNetV2 for Brain Tumor Classification on MRI Images

open access: yesSistemasi: Jurnal Sistem Informasi
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

open access: yesJAREE (Journal on Advanced Research in Electrical Engineering)
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

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

open access: yesInternational 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   +5 more
wiley   +1 more source

Artificial Intelligence Powers Protein Functional Annotation

open access: yesAdvanced Science, Volume 13, Issue 26, 8 May 2026.
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

open access: yesResearch in Agricultural Engineering
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

open access: yes2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
6 pages; Published in ...
Erukude, Sai Teja   +2 more
openaire   +2 more sources

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored‐product beetle

open access: yesPest Management Science, Volume 82, Issue 5, Page 4319-4331, May 2026.
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

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

open access: yesJournal of Field Robotics, Volume 43, Issue 3, Page 1719-1738, May 2026.
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

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal
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

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

open access: yesSmall, Volume 22, Issue 26, 8 May 2026.
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

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