Results 31 to 40 of about 759 (182)

Intelligent Material Framework for Data Mining and Performance Prediction of Invar Alloy

Rare Metals, Volume 45, Issue 6, June 2026.
ABSTRACT Invar alloys exhibit a low coefficient of thermal expansion (CTE) over a wide temperature range and are regarded as critical materials for precision engineering and aerospace applications. In this work, an integrated OLR‐IMF (an intelligent material framework based on optical character recognition [OCR], large language models [LLMs], and ...
Tongbo Jiang, Chunlei Shang, Hong‐Hui Wu, Mingshuo Nie, Dexin Zhu, Fan Yang, Haoliang Wang, Shuize Wang, Junheng Gao, Haitao Zhao, Chaolei Zhang, Xinping Mao   +11 more
wiley   +1 more source

Predicting Healthcare Service Utilization Using Supervised Machine Learning Methods: Model Comparison and Feature Selection

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Machine learning (ML) techniques offer a powerful way to examine the variables and the influence of community‐based health insurance (CBHI) usage on healthcare service utilization, providing insightful information for health policy. Researchers cannot objectively evaluate the performance of the ML model without suitable statistical measurements, which ...
Ahmet Toy, Endris Assen Ebrahim, Abdelah Alifnur Mohammed, Richard Murray   +3 more
wiley   +1 more source

Data‐Driven Model for Predicting Compressor and Industrial Equipment Failures

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
This study presents a data‐driven deep‐learning framework for predictive maintenance in industrial equipment. The framework integrates two complementary architectures: an unsupervised autoencoder‐based anomaly‐detection model for unlabeled industrial data and a supervised autoencoder–feedforward deep neural network (AE‐FFDNN) model for fault ...
Ahmad Shokouh Saljooghi, Amid Khatibi Bardsiri, Seyyed Hamid Ghafouri, Gurvinder S. Virk   +3 more
wiley   +1 more source

Lo sviluppo del programma Galileo: sue traversie, lezioni e considerazioni

GEOmedia, 2017
This article sketches the European trail from conception to development of the Galileo system, highlighting the major steps, and trying to derive the lesson learned from the various experiences.
Mario Caporale
doaj   +2 more sources

eCall Implementation Options in the Slovak Republic [PDF]

, 2013
Práca sa zaoberá problematikou zavádzania systému eCall do prostredia Slovenskej republiky. Systém eCall je prvkom skvalitňujúcim ponehodovú starostlivosť o posádku vo vozidle. Práca analyzuje vývoj dopravnej nehodovosti v Slovenskej republike, doterajší
Binder, Lukáš
core   +1 more source

An AIoT‐Based Edge Face Recognition System for Smart Door Access Control on Raspberry Pi

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Smart door access control has become an essential component of modern AIoT‐enabled smart home systems. A total of 8 participants were involved in the data collection process. Although numerous Raspberry Pi–based face recognition systems have been reported, most existing studies mainly focus on prototype implementation without providing comprehensive ...
Hung Dao Viet, Phat Nguyen Huu, Pramita Mishra   +2 more
wiley   +1 more source

“Initial Services”, la nuova fase del programma Galileo

GEOmedia, 2017
With the Declaration of Initial Services, officially launched by the European Commission in Brussels on Thursday 15 December 2016, Galileo started to offering services to public authorities, businesses and citizens, free services of primary importance as
Marco Lisi
doaj   +2 more sources

LDSNet: Local and Multiscale Feature Learning for Eye Region Semantic Segmentation

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Eye region segmentation is crucial for applications like eye tracking, virtual reality, and augmented reality. However, existing methods still face significant challenges, including occlusion, illumination variations, and limited capacity for capturing fine details. To address these issues, we propose Local Detail Segmentation Network (LDSNet), a novel
Shuangyuan Li, Liuhuan Wang, Jiaming Liang, Pramita Mishra   +3 more
wiley   +1 more source

eCall test bench for eCall terminal communications

, 2005
Euroopan komission, teollisuuden ja muiden toimijoiden muodostaman eSafety Forumin aloitteesta edistettävä yleiseurooppalainen eCall on saanut laajaa kannatusta sekä EU:n jäsenvaltioilta että autonvalmistajilta.
Siponen, Aki, Hautala, Raine, Eloranta, Tuomo, Laakko, Timo; id_orcid   +3 more
core   +1 more source

Multiview Consistent 3D Reconstruction of Concrete Defects via Automated Segmentation‐Guided 2D Gaussian Splatting

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Automated inspection of concrete infrastructure increasingly relies on computer vision. For inspection and condition assessment, the 3D geometry of defects is more informative than 2D masks alone. This study proposes a segmentation‐guided 2D Gaussian Splatting (2DGS) framework that reconstructs a defect‐labeled 3D model from an image sequence. In field
Dayou Duan, Zuocai Wang, Liang He, Hoon Sohn   +3 more
wiley   +1 more source