Results 11 to 20 of about 1,054,454 (210)

Automatic Medical Report Generation Based on Cross-View Attention and Visual-Semantic Long Short Term Memorys

open access: yesBioengineering, 2023
Automatic medical report generation based on deep learning can improve the efficiency of diagnosis and reduce costs. Although several automatic report generation algorithms have been proposed, there are still two main challenges in generating more ...
Yunchao Gu   +3 more
doaj   +1 more source

Analytical assessment of street-level tree canopy in Austrian cities: Identification of re-naturalisation potentials of the urban fabric

open access: yesNature-Based Solutions, 2023
Climate change-related impacts such as heat stress, extreme weather events, and their consequences are particularly felt within densely built-up urban areas. Urban re-naturalisation is recognised as a promising cost-effective strategy for improving urban
Milena Vuckovic   +2 more
doaj   +1 more source

EM-Gaze: eye context correlation and metric learning for gaze estimation

open access: yesVisual Computing for Industry, Biomedicine, and Art, 2023
In recent years, deep learning techniques have been used to estimate gaze—a significant task in computer vision and human-computer interaction. Previous studies have made significant achievements in predicting 2D or 3D gazes from monocular face images ...
Jinchao Zhou   +5 more
doaj   +1 more source

Soft Exoskeleton Mimics Human Cough for Assisting the Expectoration Capability of SCI Patients

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
This paper describes the design of a bionic soft exoskeleton and demonstrates its feasibility for assisting the expectoration function rehabilitation of patients with spinal cord injury (SCI).
Yan Zhang   +8 more
doaj   +1 more source

Driver cellphone usage detection using wavelet scattering and convolutional neural networks [PDF]

open access: yesAUT Journal of Mathematics and Computing
This paper provides an automated system based on machine learning and computer vision to detect cellphone usage during driving. We used Wavelet Scattering Networks, which is a simple and efficient type of architecture.
Ali Besharati   +2 more
doaj   +1 more source

Timing and correction of stepping movements with a virtual reality avatar [PDF]

open access: yes, 2020
Research into the ability to coordinate one’s movements with external cues has focussed on the use of simple rhythmic, auditory and visual stimuli, or interpersonal coordination with another person.
Ahmed, Imran   +5 more
core   +1 more source

Building Detection From Panchromatic and Multispectral Images With Dual-Stream Asymmetric Fusion Networks

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Building detection from panchromatic (PAN) and multispectral (MS) images is an essential task for many practical applications. In this article, a dual-stream asymmetric fusion network is proposed, named DAFNet.
Ziyue Huang   +6 more
doaj   +1 more source

The photon: A virtual reality [PDF]

open access: yes, 2005
It has been observed that every photon is, in a sense, virtual - being emitted and then sooner or later absorbed. As the motif of a quantum radiation state, the photon shares these characteristics of any virtual state: that it is not directly observable;
Andrews, D. L.
core   +1 more source

Tweek: Merging 2D and 3D Interaction in Immersive Environments [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2003
Developers of virtual environments (VEs) face an oftendifficult problem: users must have some way to interact with the virtual world. The application designers must determine how to map available inputs (button presses, hand gestures, etc.) to actions ...
Patrick L Hartling   +2 more
doaj  

A Cascade Ensemble Learning Model for Human Activity Recognition with Smartphones

open access: yesSensors, 2019
Human activity recognition (HAR) has gained lots of attention in recent years due to its high demand in different domains. In this paper, a novel HAR system based on a cascade ensemble learning (CELearning) model is proposed.
Shoujiang Xu   +3 more
doaj   +1 more source

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