Results 81 to 90 of about 30,930 (225)
Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu +5 more
wiley +1 more source
ABSTRACT Time‐correlated single‐photon counting (TCSPC) lidar enables high‐resolution 3D imaging at kilometer range. While previous works have covered long range TCSPC 3D imaging from either stationary or airborne platforms, this is, to the best of our knowledge, the first attempt that use a moving ground vehicle. Fusing measurements taken at different
Hannes Ovrén +2 more
wiley +1 more source
RANSAC based robust localization algorithm for visual sensor network
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 +3 more
doaj +2 more sources
Improved RANSAC features image-matching method based on SURF
For the speed of traditional SIFT algorithm in the feature extraction and matching is slow, the article proposes an improved RANSAC features image matching method based on speeded up robust features (SURF).
Jinliang Liu, FanLiang Bu, FanLiang Bu
doaj +1 more source
Developing a Robust Multiround HCR‐FISH Method Modified for Caenorhabditis elegans
In this study, a multiround HCR‐FISH protocol modified for whole‐mounted C. elegans samples was developed using a technique that attaches hydrogel‐embedded samples to coverglass. This achieved a sample retention rate exceeding 99% and high signal fidelity, enabling multiplex gene profiling in the same individual after whole‐brain functional imaging ...
Xiaoxiong Yang +4 more
wiley +1 more source
A Novel Peak‐Shape Aware Approach for Mass Alignment in Mass Spectrometry
ABSTRACT Rationale In mass spectrometry measurements, mass shifts may be inadvertently introduced due to instrumental drift and calibration inaccuracies, potentially compromising the accuracy of subsequent data analysis. This work presents a novel, label‐free algorithm to improve relative mass alignment between mass spectra.
Thomas Vanhemel +5 more
wiley +1 more source
ABSTRACT Additive manufacturing is transforming how microfluidic devices are prototyped and fabricated. Among various 3D printing methods, stereolithography (SLA) has become a dominant technique for microfluidics due to its high resolution and design flexibility, with widespread use in lab‐on‐a‐chip applications.
Guillermo Ramirez‐Alvarado +3 more
wiley +1 more source
A Linear Fitting Algorithm Based on Modified Random Sample Consensus
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 +3 more
doaj +1 more source
Many generic position-estimation algorithms are vulnerable to ambiguity introduced by nonunique landmarks. Also, the available high-dimensional image data is not fully used when these techniques are extended to vision-based localization.
MacDonald, B.A., Yuen, D.C.K.
core
This study integrates machine learning (ML) and high‐fidelity experiments to model how raster angle influences the mechanical properties of fused filament fabricated conductive TPU composites. Using Poly6 and SVR models, the approach accurately predicts stiffness, strength, and ductility.
Imran Khan, Ans Al Rashid, Muammer Koç
wiley +1 more source

