LAUSR

Deep learning system to screen coronavirus disease 2019 pneumonia

Sign Up to like & get
recommendations!
1 Published in 2020 at "Applied Intelligence"

DOI: 10.1007/s10489-020-01714-3

Abstract: Radiographic patterns on CT chest scans have shown higher sensitivity and specificity compared to RT-PCR detection of COVID-19 which, according to the WHO has a relatively low positive detection rate in the early stages. We… read more here.

Keywords: system screen; screen coronavirus; learning system; deep learning ... See more keywords

A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis

Sign Up to like & get
recommendations!
0 Published in 2021 at "Applied Intelligence"

DOI: 10.1007/s10489-020-02051-1

Abstract: The purpose of this study was to establish and validate a new deep learning system that generates quantitative computed tomography (CT) reports for the diagnosis of pulmonary tuberculosis (PTB) in clinic. 501 CT imaging datasets… read more here.

Keywords: pulmonary tuberculosis; ptb; learning system; deep learning ... See more keywords

Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh

Sign Up to like & get
recommendations!
0 Published in 2021 at "Education and Information Technologies"

DOI: 10.1007/s10639-021-10707-9

Abstract: Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting… read more here.

Keywords: use; learning system; use learning; behavioral intention ... See more keywords

A machine learning enabled affective E-learning system model

Sign Up to like & get
recommendations!
2 Published in 2022 at "Education and Information Technologies"

DOI: 10.1007/s10639-022-11010-x

Abstract: The purpose of this study is to propose an e-learning system model for learning content personalisation based on students’ emotions. The proposed system collects learners’ brainwaves using a portable Electroencephalogram and processes them via a… read more here.

Keywords: system; machine learning; learning system; system model ... See more keywords

Compression strength prediction of Xylosma racemosum using a transfer learning system based on near-infrared spectral data

Sign Up to like & get
recommendations!
0 Published in 2019 at "Journal of Forestry Research"

DOI: 10.1007/s11676-019-01052-2

Abstract: A transfer learning system was designed to predict Xylosma racemosum compression strength. Near-infrared (NIR) spectral data for Acer mono and its compression strength values were used to resolve the weak generalization problem caused by using… read more here.

Keywords: transfer learning; spectral data; learning system; racemosum ... See more keywords

Development, implementation, and effects of an integrated web-based teaching model in a nursing ethics course.

Sign Up to like & get
recommendations!
0 Published in 2017 at "Nurse education today"

DOI: 10.1016/j.nedt.2017.04.011

Abstract: BACKGROUND Ethical competence, which is reflected in the ability to detect ethical challenges in clinical situations and engage in deliberate thinking on ethical actions, is one of the core competencies of nursing practice. PURPOSE The… read more here.

Keywords: learning system; group; nursing; course ... See more keywords

Quaternion broad learning system: A novel multi-dimensional filter for estimation and elimination tremor in teleoperation

Sign Up to like & get
recommendations!
0 Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.10.059

Abstract: Abstract In this paper, a novel quaternion broad learning system is proposed in this paper for tremor estimation and elimination in teleoperation. In the new proposed QBLS, the architecture can be divided into three layers,… read more here.

Keywords: quaternion; broad learning; layer; learning system ... See more keywords

Broad learning system for semi-supervised learning

Sign Up to like & get
recommendations!
0 Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.02.059

Abstract: Abstract As an emerging technique for supervised learning, broad learning system (BLS) has been proved to have many advantages such as fast learning speed, good generalization, etc. However, it is difficult for BLS to perform… read more here.

Keywords: learning system; bls; semi supervised; supervised learning ... See more keywords

A deep learning system for detecting diabetic retinopathy across the disease spectrum

Sign Up to like & get
recommendations!
1 Published in 2021 at "Nature Communications"

DOI: 10.1038/s41467-021-23458-5

Abstract: Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the screening process, we develop a deep learning system, named DeepDR, that can detect early-to-late stages of diabetic retinopathy. DeepDR is… read more here.

Keywords: retinopathy; diabetic retinopathy; learning system; deep learning ... See more keywords

Broad Learning System for Nonparametric Modeling of Clay Parameters

Sign Up to like & get
recommendations!
0 Published in 2020 at "ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering"

DOI: 10.1061/ajrua6.0001066

Abstract: AbstractDue to the complex and uncertain nature of geomaterial properties, establishing representative parametric models between clay parameters is a challenging task. Nonparametric machine learnin... read more here.

Keywords: broad learning; nonparametric modeling; learning system; clay parameters ... See more keywords

Hyperspectral image classification based on local binary pattern and broad learning system

Sign Up to like & get
recommendations!
0 Published in 2020 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2020.1798553

Abstract: ABSTRACT In the hyperspectral classification, the combination of spectral information and spatial information has received more attention. Especially in the deep learning methods, massive spatial-spectral features which are helpful for improving the classification performance can… read more here.

Keywords: broad learning; classification; information; learning system ... See more keywords