Results 111 to 120 of about 4,974,855 (283)

Ultrasensitive Ultrasoft Buckled Crack‐Based Sensor for Respiration Measurement and Enhanced Human–Machine Interface

open access: yesAdvanced Intelligent Systems, EarlyView.
The Buckled, Ultrasoft, Crack‐based, Large strain, EpiDermal (BUCKLED) sensor is a flexible, ultrasensitive wearable strain sensor designed to precisely measure subtle skin deformations. By utilizing a buckled structure to enhance compliance integrating crack‐based sensing mechanisms, it improves accuracy in applications like respiratory monitoring ...
Jingoo Lee   +9 more
wiley   +1 more source

A mobile app as support for pelvic floor muscle training started prior to radical prostatectomy

open access: yesBJUI Compass, Volume 4, Issue 1, Page 114-122, January 2023., 2023
Abstract Objective To evaluate the usefulness of a mobile app to support pelvic floor muscle training (PFMT) started prior to radical prostatectomy (RP). Materials and methods A prospective cohort study conducted in Sweden from June 2018 to February 2021 including men for whom RP was planned within 12 months.
Zinah Al‐Zaidi   +3 more
wiley   +1 more source

New Advances in Audio Signal Processing

open access: yesApplied Sciences
The growth in computing capabilities has significantly transformed the realm of data analysis and processing, most notably through the widespread adoption of artificial intelligence (AI) and deep learning technologies [...]
Giovanni Costantini   +2 more
doaj   +1 more source

Zero-Shot Audio Classification Based on Class Label Embeddings [PDF]

open access: yesarXiv, 2019
This paper proposes a zero-shot learning approach for audio classification based on the textual information about class labels without any audio samples from target classes. We propose an audio classification system built on the bilinear model, which takes audio feature embeddings and semantic class label embeddings as input, and measures the ...
arxiv  

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou   +4 more
wiley   +1 more source

Ability as legitimation of tracking: Teachers' representations of students in vocational and academic tracks

open access: yesBritish Educational Research Journal, Volume 48, Issue 6, Page 1049-1064, December 2022., 2022
Abstract The division of educational systems into different tracks—academic and vocational—represents one of the key elements in explaining social stratification and inequalities. Previous research identifies teachers' expectations as a critical factor to understand the relationship between tracking and social inequality.
Aina Tarabini   +2 more
wiley   +1 more source

Putting climate change at the heart of education: Is England's strategy a placebo for policy?

open access: yesBritish Educational Research Journal, Volume 48, Issue 6, Page 1083-1101, December 2022., 2022
Abstract In this paper we present an analysis of the sustainability and climate change strategy for education and children's services systems in England, produced by the Department for Education. Using critical discourse analysis, we juxtapose qualitative data collected from >200 youth teachers and teacher educators in the context of co‐creating a ...
Lynda Dunlop, Elizabeth A. C. Rushton
wiley   +1 more source

MACE: Leveraging Audio for Evaluating Audio Captioning Systems [PDF]

open access: yesarXiv
The Automated Audio Captioning (AAC) task aims to describe an audio signal using natural language. To evaluate machine-generated captions, the metrics should take into account audio events, acoustic scenes, paralinguistics, signal characteristics, and other audio information. Traditional AAC evaluation relies on natural language generation metrics like
arxiv  

Time Domain Neural Audio Style Transfer [PDF]

open access: yesarXiv, 2017
A recently published method for audio style transfer has shown how to extend the process of image style transfer to audio. This method synthesizes audio "content" and "style" independently using the magnitudes of a short time Fourier transform, shallow convolutional networks with randomly initialized filters, and iterative phase reconstruction with ...
arxiv  

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