Results 61 to 70 of about 3,994 (183)

Semi‐Automatic Assessment of Crohn's Disease Activity by Combined Analysis of Bowel Lesions and Creeping Fat

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 302-314, July 2026.
ABSTRACT Purpose To develop and evaluate Crohn‐BOOST, an open‐source tool enabling semi‐automatic segmentation of intestinal lesions and creeping fat on magnetic resonance enterography (MR Enterography), and to assess whether quantitative metrics derived from these segmentations relate to radiological disease activity scored with simplified MaRIA ...
Antoine Kneib, Astrée Lemore, Gabriela Hossu, Laurent Peyrin‐Biroulet, Valérie Laurent, Freddy Odille   +5 more
wiley   +1 more source

Parallel Improved RANSAC Based on CUDA

工程科学与技术, 2010
:In order to overcome several disadvantages of traditional RANSAC,a parallel improved RANSAC based on CUDA was presented. With guaranteeing the same confidence of the solution as traditional RANSAC，the proposed method parallelly dosed sampling， computed ...
Miao Qing, Fu Zhong Liang, Zhao Xiang Hui, Xu Ke Jia   +3 more
doaj  

Retrieving Hourly Aerosol Absorption From Space Using Physical Informed Deep Learning

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract Retrieving aerosol absorption properties, such as single scattering albedo (SSA) and absorption aerosol optical depth (AAOD) from single‐view satellite observations remains a significant challenge. This study introduces the Physics‐Informed Neural Network for Aerosols (PINA) framework to retrieve hourly aerosol absorption properties from ...
Tao Xia, Wenfang Liang, Fangwen Bao, Xiaochuan Zhang   +3 more
wiley   +1 more source

RANSAC based robust localization algorithm for visual sensor network

Tongxin xuebao, 2013
Due to node failures or environmental changes,observed data on the target will be error in visual sensor network,so the least squares based multi-vision localization algorithm won’t be accurate.A centralized RANSAC based robust localization method was ...
Bo ZHANG, Hai-yong LUO, Ji-wei LIU, Fang ZHAO   +3 more
doaj   +2 more sources

Application of Artificial Intelligence in Food Science and Nutrition: Challenges and Future Perspectives

eFood, Volume 7, Issue 3, June 2026.
AI application can be very helpful in addressing different issues and shaping novel techniques in food production, food safety and quality, and food intake. AI application in food science, such as the food industry and processing, food safety and packaging, and nutrition.
Yaseen Galali, Pary Hadi, Arkan Mohammed Hassan, Holem Hashm Balaky, Tavga Sulaiman Rashid, Bashdar Abuzed Sadee, Tanya Salam Salih, Hamed Hassanzadeh   +7 more
wiley   +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

A Linear Fitting Algorithm Based on Modified Random Sample Consensus

Applied Sciences
When performing linear fitting on datasets containing outliers, common algorithms may face problems like inadequate fitting accuracy. We propose a linear fitting algorithm based on Locality-Sensitive Hashing (LSH) and Random Sample Consensus (RANSAC ...
Yujin Min, Yun Tang, Hao Chen, Faquan Zhang   +3 more
doaj   +1 more source

A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 784-797, June 2026.
ABSTRACT In this paper, to deal with the dynamic SLAM problem, we investigate feature tracking and IMU preintegration in visual‐inertial odometry (VIO) and design a robust SLAM framework that explicitly considers robot self‐dynamics. We propose a self‐dynamics and IMU‐aided feature tracker to predict initial optical flow and an iterative refinement ...
Junyin Qiu, Hong Liu, Tianwei Zhang
wiley   +1 more source

CameraVQ: Vector‐Quantized Representations for Monocular Camera Calibration

Computer Animation and Virtual Worlds, Volume 37, Issue 3, May/June 2026.
iven an image, a frozen DINOv3 extracts features for a classifier to predict a distributions over an intrinsic codebook. The highest‐probability code is decoded into the camera matrix K by a frozen decoder. ABSTRACT We present a monocular camera calibration method, dubbed CameraVQ.
DaEun Cheong, JungHyun Han
wiley   +1 more source

Motion of moving camera from point matches: comparison of two robust estimation methods

IET Computer Vision, 2014
A robust estimation method, Balanced Least Absolute Value Estimator (BLAVE), is introduced and compared with the traditional RANdom SAmple Consensus (RANSAC) method. The comparison is performed empirically by applying both estimators on the camera motion
Milan Horemuz, Yueming Zhao
doaj   +1 more source