Results 161 to 170 of about 57,218 (285)

A point cloud dataset and deep learning method for semantic segmentation of underground garages

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Reconstructing as‐built building information modeling from point clouds in underground garages holds great potential for enhancing facility management. However, this task is particularly challenging due to the complex and diverse architectural and mechanical, electrical, and plumbing (MEP) components present in such environments.
Hongzhe Yue   +5 more
wiley   +1 more source

Deep‐learning models of the ascending proprioceptive pathway are subject to illusions

open access: yesExperimental Physiology, EarlyView.
Abstract Proprioception is essential for perception and action. Like any other sense, proprioception is also subject to illusions. In this study, we model classic proprioceptive illusions in which tendon vibrations lead to biases in estimating the state of the body.
Adriana Perez Rotondo   +5 more
wiley   +1 more source

Vision Transformer‐Enhanced Multi‐Descriptor Approach for Robust Age‐Invariant Face Recognition

open access: yesApplied AI Letters, Volume 6, Issue 3, October 2025.
ABSTRACT This study presents a robust age‐invariant face recognition framework, addressing challenges posed by age‐related facial variations. Evaluated on the FGNet and Morph II datasets, the system integrates Viola‐Jones for face detection, SIFT and LBP for feature extraction, and Vision Transformers (ViTs) for global feature representation.
Justice Kwame Appati   +3 more
wiley   +1 more source

Deep Learning Algorithms for Autonomous Vehicle Communications: Technical Insights and Open Challenges

open access: yesConcurrency and Computation: Practice and Experience, Volume 37, Issue 21-22, 25 September 2025.
ABSTRACT Autonomous vehicles (AVs) are one of the building blocks of modern intelligent transportation systems and have the potential to change some aspects related to mobility, safety, and operational efficiency. In this paper, we analyze recent progress in AV algorithms and simulation frameworks, emphasizing their roles in decision‐making processes ...
Majd Alkorabi   +2 more
wiley   +1 more source

Tutorial sobre Fuzzy-c-Means e Fuzzy Learning Vector Quantization: Abordagens Híbridas para Tarefas de Agrupamento e Classificação

open access: gold, 2012
Sarajane Marques Peres   +4 more
openalex   +2 more sources

Developing an Accounting Virtual Assistant Through Supervised Fine‐Tuning (SFT) of a Small Language Model (SLM)

open access: yesIntelligent Systems in Accounting, Finance and Management, Volume 32, Issue 3, September 2025.
ABSTRACT The development of an in‐house accounting bot—an artificial intelligence (AI) assistant capable of generating internally structured bookkeeping double‐entry posting schemes—is explored in this paper. The processes of curating a suitable dataset, selecting, and fine‐tuning a seven‐billion‐parameter language model, categorized as a small ...
Mario Zupan
wiley   +1 more source

Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks [PDF]

open access: green, 2019
Sascha Saralajew   +3 more
openalex   +1 more source

A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 15, Issue 3, September 2025.
ABSTRACT Machine learning (ML) has rapidly scaled in capacity and complexity, yet blind spots persist beneath its high performance façade. In order to shed more light on this argument, this paper presents a curated catalogue of 175 unconventional concepts, each capturing a paradox, tension, or overlooked risk in modern ML practice.
M. Z. Naser
wiley   +1 more source

Prediction of Speech Impairment in Patients Treated for Oral or Oropharyngeal Cancer Using Automatic Speech Analysis

open access: yesInternational Journal of Language &Communication Disorders, Volume 60, Issue 5, September/October 2025.
ABSTRACT Background Perceptual evaluation of speech disorders produces scores that poorly predict the consequences of speech impairment on the communication abilities of patients treated for oral/oropharyngeal cancer. This may be mitigated by automatic speech analysis.
Mathieu Balaguer   +3 more
wiley   +1 more source

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