Results 111 to 120 of about 660,556 (339)

Przygotowanie legendy do pracy z dzieckiem polonijnym

open access: yesActa Universitatis Lodziensis: Kształcenie Polonistyczne Cudzoziemców, 2020
Artykuł podejmuje problem obecności legend w procesie nauczania dzieci polonijnych w tzw. szkołach sobotnich. Edukacja polonistyczna dzieci mieszkających poza Polską nie jest łatwa. Zwykle uczęszczają one na lekcje w szkołach sobotnich, które przez kilka
Mateusz Gaze
doaj   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

On the Optimization of Machined VSD Position for Repaired Pipes

open access: yesThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science
To be kept in use, pipelines with Volumetric Surface Defects (VSDs) must be evaluated and, if necessary, repaired. The first step in the repair process is machining the defect area.
Ionuţ LAMBRESCU
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Learning to Personalize in Appearance-Based Gaze Tracking

open access: yes, 2019
Personal variations severely limit the performance of appearance-based gaze tracking. Adapting to these variations using standard neural network model adaptation methods is difficult.
Lindén, Erik   +2 more
core   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Quantitative Reasoning: A Guided Pathway from Two- to Four-Year Colleges

open access: yesNumeracy, 2018
In this editorial, I place the Quantitative Reasoning (QR) movement within the national context of math pathways and the broader Guided Pathways initiative.
Eric Gaze
doaj   +1 more source

Entity Recognition at First Sight: Improving NER with Eye Movement Information

open access: yes, 2019
Previous research shows that eye-tracking data contains information about the lexical and syntactic properties of text, which can be used to improve natural language processing models.
Hollenstein, Nora, Zhang, Ce
core   +1 more source

Vision‐Based Handover and Organization of Robotic Scrub Nurse for Seamless Surgical Flow

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a pose estimation‐based robotic scrub nurse (PERSN) that assists surgical procedures by estimating the surgeon's hand position, orientation, and grasping state, along with the constraint‐based 6D pose of surgical instruments. User evaluations show that PERSN provides greater immediate usability and reduces physical demand compared ...
Seongjoon Kang   +9 more
wiley   +1 more source

RT‐DETR‐DA for Complex Scenes: Distracted Driving Detection With Feature Interaction and Dynamic Perception

open access: yesAdvanced Intelligent Systems, EarlyView.
This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu   +4 more
wiley   +1 more source

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