Results 241 to 250 of about 957,508 (304)

Seeing Through the Face: Robust Facial Diagnosis Enhanced by Landmark Detection and Pose Normalization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie   +12 more
wiley   +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

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

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

open access: yesAdvanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka   +2 more
wiley   +1 more source

Peer Teaching and Learner Responsibility [PDF]

open access: yes, 2012
Hector Luk   +3 more
core   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger   +3 more
wiley   +1 more source

Microrobotic Catheterization of the Ophthalmic Artery for Targeted Treatment of Retinoblastoma

open access: yesAdvanced Intelligent Systems, EarlyView.
A microrobotic platform is presented that allows teleoperated and autonomous navigation of flow‐driven magnetic microcatheters, MagFlow, into the ophthalmic artery for superselective intra‐arterial infusion of chemotherapy to treat retinoblastoma. Extensive benchtop validations with patient‐derived biomimetic phantoms under optical and fluoroscopic ...
Artur Banach   +5 more
wiley   +1 more source
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Peer Teaching

PADUA, 2023
Zusammenfassung: Peer Teaching ist ein pädagogisches Konzept, bei dem Lernende die Rolle als Lehrende einnehmen und ihr Wissen mit ihren Mitlernenden teilen. Dies fördert ein tieferes Verständnis, nachhaltiges Lernen und bessere Kommunikationsfähigkeiten.
Claudia Schlegel, Mirdita Useini
openaire   +1 more source

Near‐peer teaching in simulation

The Clinical Teacher, 2023
Abstract Background Development, implementation and evaluation of a simulation curriculum is time and resource intensive. Limited faculty time and training are cited as primary barriers to adopting simulation into medical education.
Laura Malmut, Alvin Ng
openaire   +2 more sources

How to be involved in peer teaching

BMJ, 2020
In peer teaching, learners are taught by those similar in age or at a similar educational stage. Many peer teaching programmes in medical school involve junior students being taught by senior students.1 Some evidence suggests that the closer learners are in training stage to their teacher, the better the learning outcomes.2 This might be because peers ...
Rebecca, Choong, Fiona, Macauslan
openaire   +2 more sources

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