Results 111 to 120 of about 5,839,842 (237)

TriadAuth: Continuous Authentication Through Structured GUI Sequence Modelling With Drift Adaptation and Modality‐Aware Explanations

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Continuous authentication (CA) systems based on behavioural biometrics are increasingly deployed in zero‐trust architectures, yet their performance degrades over time due to natural behavioural drift arising from device changes, fatigue and evolving habits.
Ahmed Alzahrani
wiley   +1 more source

Real-Time Semantic Reconstruction and Semantically Constrained Path Planning for Agricultural Robots in Greenhouses

Agronomy
To address perception and navigation challenges in precision agriculture caused by GPS signal loss and weakly structured environments in greenhouses, this study proposes an integrated framework for real-time semantic reconstruction and path planning ...
Tianrui Quan, Junjie Luo, Shuxin Xie, Xuesong Ren, Yubin Miao   +4 more
doaj   +1 more source

Refined Safety Distance Measurement of Heavy Construction Machinery Near Electricity Operation Based on Feature‐Homogenised Spatial Target Analysis

High Voltage, EarlyView.
ABSTRACT Heavy construction machinery is essential for power infrastructure construction and maintenance, making safety distance measurement crucial for ensuring operational safety. Existing methods, which rely on target space mapping, face challenges such as error accumulation and limited accuracy.
Fuqi Ma, Mingyang Qi, Rong Jia, Bo Wang, Leixiong Wang   +4 more
wiley   +1 more source

Multiscale Adjacency Matrix CNN: Learning on Multispectral LiDAR Point Cloud via Multiscale Local Graph Convolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multispectral LiDAR can rapidly acquire 3D and spectral information of objects, providing richer features for point cloud semantic segmentation. Despite the remarkable performance of existing graph neural networks in point cloud segmentation, extracting ...
Jian Yang, Binhan Luo, Ruilin Gan, Ao Wang, Shuo Shi, Lin Du   +5 more
doaj   +1 more source

Research on Embodied Intelligence Technology for Electric Power Equipment Based on Large‐Scale Pre‐Trained Models

High Voltage, EarlyView.
ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve general problems.
Yuanpeng Tan, Rui Song, Ankai Zhang, Wenhao Mo, Wenjin Ji   +4 more
wiley   +1 more source

3D Semantic Map Reconstruction for Orchard Environments Using Multi-Sensor Fusion

Agriculture
Semantic point cloud maps play a pivotal role in smart agriculture. They provide not only core three-dimensional data for orchard management but also empower robots with environmental perception, enabling safer and more efficient navigation and planning.
Quanchao Wang, Yiheng Chen, Jiaxiang Li, Yongxing Chen, Hongjun Wang   +4 more
doaj   +1 more source

LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture

IEEE Access
Large-scale LiDAR-based point cloud semantic segmentation is a critical challenge for autonomous driving perception. Most state-of-the-art LiDAR semantic segmentation methods rely on complex operators, such as sparse 3D convolutions or KdTree structures,
Chuanyu Luo, Nuo Cheng, Sikun Ma, Han Li, Xiaohan Li, Shengguang Lei, Pu Li   +6 more
doaj   +1 more source

A Wildlife Multi‐Modal Recognition Method Based on Infrared Camera Images Using MWAC

Integrative Zoology, EarlyView.
A multimodal wild wildlife classification model MWAC consists of two parts:(1) Wavelet KAN module (WDS‐KAN) for image feature extraction, and (2) Label Correlated Text Extraction module (LC‐BERT) for text feature extraction. ABSTRACT Nowadays, infrared camera technology has become an important tool for large‐scale monitoring and assessment of wildlife ...
Siming Deng, Guoxiong Zhou, Genhua Liu, Zhishu Xiao, Xiaoqun Huang, Yang Hu, Ling Gui   +6 more
wiley   +1 more source

A validated 3D point‐cloud analysis workflow for the creation of seagrass canopy height models

Methods in Ecology and Evolution, EarlyView.
Abstract Seagrasses support highly productive ecosystems in both temperate and tropical waters and provide essential ecosystem services. Despite their importance, the vertical structure of seagrasses (i.e. the canopy) remains poorly characterised at the microscale, even though it is a strong predictor of ecological processes that influence both ...
Daniele Ventura
wiley   +1 more source

Artificial Intelligence and Digital Impressions: The Positives and the Pitfalls

Australian Dental Journal, EarlyView.
ABSTRACT Digital impressions are now central to contemporary dental workflows, driven by advances in CAD/CAM manufacturing and intraoral scanning technologies. In parallel, rapid progress in artificial intelligence (AI)—particularly deep learning—has led to its widespread integration into digital impression systems.
Andrew Keeling
wiley   +1 more source