Results 151 to 160 of about 19,033 (238)

AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling

Laryngoscope Investigative Otolaryngology, Volume 11, Issue 3, June 2026.
We developed SUM‐MucusNet, an artificial intelligence system for reliable mucus segmentation in nasal endoscopy, designed to overcome challenges from poor image quality and illumination artifacts. The model represents a modest but statistically supported improvement over the next‐best model, achieving a Dice score of 71%. SUM‐MucusNet enables real‐time
Dipesh Gyawali, Jonathan Bidwell, Elena Karras, Thomas J. Mundy, Kayla E. Baker, Elena D. Bartolone, Dhara Patel, Akio Fujiwara, Edward D. McCoul   +8 more
wiley   +1 more source

Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study. [PDF]

JMIR Med Inform
Liu Y, Song S, Lian S, Zhang X.
europepmc   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, Volume 43, Issue 4, Page 2553-2584, June 2026.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Adaptive elastic convolution-based YOLO for peripheral blood smear cell detection. [PDF]

PLoS One
Issac NM, K R.
europepmc   +1 more source

Drone‐Based Inspection of Wind Turbine Blades: A Comparative Study of Deep Learning Models

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Maintaining wind turbine blades is a challenging task, often marked by high costs, safety risks, time inefficiency, and the possibility of incorrect diagnosis. A promising approach to support preventive maintenance involves the use of drones and deep learning for inspection and early fault detection.
Lakhdar Laib, Thameur Obaidi, Mohamed Elbar, Toufik Tayeb Naas, Ahmed Bensaci, Leliso Hobicho Dabelo   +5 more
wiley   +1 more source

ASCA-YOLO: Adaptive Sparse and Context-Aware YOLO Algorithm for Forest Wildfire Detection. [PDF]

Sensors (Basel)
Hao Y, Wang K, Zhang L, Yuan Z.
europepmc   +1 more source

Comparing Solar Structure Detection Methods in SDO/AIA Observations and the Application to Raw Uncalibrated Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Recent advances in solar physics increasingly rely on automated identification of coronal structures using machine learning. Yet most studies emphasize scientific performance without evaluating feasibility for onboard deployment to prioritize downlink observations.
P. Gonidakis, F. Carella, E. Dineva, H‐J. Jeong, P. Antunes, A. Podobas, S. Raptis, V. Toy‐Edens, M. Jin, S. Poedts, J. Magdalenic, G. Miloshevich   +11 more
wiley   +1 more source

YOLO-AFL: A Novel Lightweight Algorithm for Real-Time Safety Helmet Detection in Factory Workshops. [PDF]

Sensors (Basel)
Wang H, Feng X, Li P, Wang A, Yao M.
europepmc   +1 more source

DESA-YOLO: A Growth-Stage Adaptive Pig Face Recognition Algorithm Based on Multi-Scale Feature Fusion. [PDF]

Animals (Basel)
Li X, Cai J, Liu T, Wang F, Zheng X, Wang M.   +5 more
europepmc   +1 more source

RMP-YOLO: Robust Multi-Scale Pedestrian Detection for Dense Scenarios. [PDF]

Sensors (Basel)
Gui C, Fan Z, Duan T, Wen J.
europepmc   +1 more source