Results 111 to 120 of about 5,540,377 (242)

A Depth-Based Weighted Point Cloud Registration for Indoor Scene

open access: yesSensors, 2018
Point cloud registration plays a key role in three-dimensional scene reconstruction, and determines the effect of reconstruction. The iterative closest point algorithm is widely used for point cloud registration.
Shuntao Liu   +5 more
doaj   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source

Pose measurement without marked points based on prediction of overlapping area with hybrid features

open access: yesJournal of Measurement Science and Instrumentation, 2023
The point cloud registration technique and 3D point cloud measurement technology without artificial marks are used to demonstrate a pose measurement solution in this study.
FU Luhua   +4 more
doaj  

A Point Cloud Registration Algorithm for Free-form Surface

open access: yesChemical Engineering Transactions, 2016
To improve the searching efficiency of the precise position of workpiece with free-form surface, a new two- step point cloud registration method is proposed. It seeks to improve the preliminary registration algorithm and the iterative closest point (ICP)
C.F. Sha   +4 more
doaj   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction [PDF]

open access: yes, 2010
The construction industry lacks solutions for accurately, comprehensively and efficiently tracking the three-dimensional (3D) status of buildings under construction.
Bosché, Frédéric, Frédéric Bosché
core   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li   +6 more
wiley   +1 more source

Discover 3D Point Cloud Processing with Python [PDF]

open access: yes, 2020
Tutorial to simply set up your python environment, start processing and visualize 3D point cloud data.
Poux, Florent
core  

Cooptimized Sensing and Sole Mechanics Enable Embodied‐Intelligence Design of User‐Specific Smart Footwear

open access: yesAdvanced Intelligent Systems, EarlyView.
An embodied codesign framework for smart footwear is presented, jointly tuning lattice mechanics and sensing for personalized plantar pressure monitoring. By integrating pneumatic sensing within 3D‐printed lattice soles, the system achieves accurate real‐time centre‐of‐pressure tracking with reduced sensor count and energy demand, demonstrating how ...
Fengyu Zhong   +3 more
wiley   +1 more source

Research on a point cloud registration method based on the combination of hash functions and the grey wolf optimizer

open access: yesScientific Reports
Point cloud registration is the process of determining the optimal rigid body transformation matrix based on the corresponding point pairs between the source point cloud and the target point cloud to align the point clouds.
Changliang Zhang   +3 more
doaj   +1 more source

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