Results 91 to 100 of about 4,847 (258)

Distributed training of CosPlace for large-scale visual place recognition

Frontiers in Robotics and AI
Visual place recognition (VPR) is a popular computer vision task aimed at recognizing the geographic location of a visual query, usually within a tolerance of a few meters.
Riccardo Zaccone, Gabriele Berton, Carlo Masone   +2 more
doaj   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Discovering the unseen: A performance comparison of taxonomic classification methods for unknown DNA barcodes

Methods in Ecology and Evolution, EarlyView.
Abstract DNA barcoding and metabarcoding have emerged as cost‐efficient, standardized methods for characterizing local biodiversity. Based on the sequencing of a small targeted gene fragment, it is theoretically possible to identify a wide diversity of taxa by comparing them with reference sequence databases.
Johanna Orsholm, Alessandro Zito, Panu Somervuo, Jesse P. Harrison, Markus Koskela, Otso Ovaskainen, Mariana P. Braga, Nicolas Chazot, Tomas Roslin, Brendan Furneaux   +9 more
wiley   +1 more source

RecBERT: Semantic recommendation engine with large language model enhanced query segmentation for k-nearest neighbors ranking retrieval

Intelligent and Converged Networks
The increasing amount of user traffic on Internet discussion forums has led to a huge amount of unstructured natural language data in the form of user comments. Most modern recommendation systems rely on manual tagging, relying on administrators to label
Richard Wu
doaj   +1 more source

Residual permutation tests for feature importance in machine learning

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley   +1 more source

An architecture for tactical intention recognition of aerial targets based on unsupervised momentum contrast and transformer

Journal of Big Data
Tactical intention recognition of aerial targets is critical for battlefield decision-making, yet existing supervised deep learning approaches face fundamental challenges due to the extreme scarcity of labeled training data in military domains, where ...
Yafei Song, Lemin Li, Wen Quan, Peng Ni, Wen Sun, Ke Wang, TianPeng Li   +6 more
doaj   +1 more source

ViR²: Beam-guided semantic and syntactic example selection for prompting Vietnamese Text-to-SQL

Vietnam Journal of Science, Technology and Engineering
Text-to-Structured Query Language (SQL) enables natural language interfaces to databases, yet its performance in low-resource languages such as Vietnamese is limited due to scarce annotated data and translation noise. Existing few-shot prompting methods
Dinh Minh Hoa, Tran Thien Khai
doaj   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

Virtual cell construction for artificial intelligence‐driven drug discovery

British Journal of Pharmacology, EarlyView.
Cells are the fundamental units through which genetic variation and pharmacological perturbations influence disease processes and therapeutic responses. However, cellular responses to intervention are strongly shaped by biological context, creating a central challenge for drug discovery: predicting how specific perturbations reshape cellular systems ...
Yuran Jia, Xiao Xing, Haoyang Han, Yuansong Zhao, Shiyao Zhou, Jingjing Chen   +5 more
wiley   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source