Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning
Sign Up to like & getrecommendations! Published in 2021 at "Information Systems Frontiers"
DOI: 10.1007/s10796-020-10097-2
Abstract: E-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight the tremendous importance of the appropriate development of e-learning systems and its adoption and processes in… read more here.
Keywords: learning; learning systems; organizational learning; review ... See more keywords
The Use of Active Methodologies for Teaching–Learning Systems in Telecommunications
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-020-07594-7
Abstract: This article discusses the adoption of the Problem Based Learning (PBL) and Project Based Learning (P2BL) approaches in the teaching/learning process of telecommunications. A computational environment was defined to combine these two approaches which focused… read more here.
Keywords: active methodologies; methodologies teaching; teaching learning; learning systems ... See more keywords
Survey of quality models of e-learning systems
Sign Up to like & getrecommendations! Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.07.058
Abstract: Abstract The main aim of the survey was to present current state of quality models of e-learning systems. Development of the quality models of e-learning systems was explored where some future directions were suggested. The… read more here.
Keywords: quality models; learning systems; models learning; survey quality ... See more keywords
A comprehensive literature review on the medical learning systems in the developing countries
Sign Up to like & getrecommendations! Published in 2021 at "Kybernetes"
DOI: 10.1108/k-09-2020-0604
Abstract: PurposeMany people have been dying as a result of medical errors. Offering clinical learning can lead to better medical care. Clinics have conventionally incorporated direct modality to teach personnel. However, they are now starting to… read more here.
Keywords: systems developing; medical learning; paper; learning systems ... See more keywords
Turning Federated Learning Systems Into Covert Channels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3229124
Abstract: Federated learning (FL) goes beyond traditional, centralized machine learning by distributing model training among a large collection of edge clients. These clients cooperatively train a global, e.g., cloud-hosted, model without disclosing their local, private training… read more here.
Keywords: systems covert; learning systems; federated learning; turning federated ... See more keywords
Sensing-Based Analytics in Education: The Rise of Multimodal Data Enabled Learning Systems
Sign Up to like & getrecommendations! Published in 2021 at "IT Professional"
DOI: 10.1109/mitp.2021.3089659
Abstract: The proliferation of sensing technology and the produced sensing-based analytics (SBA) has driven several fields in the development of tools and methods that have transformed their industries. The utilization of SBA fulfills the vision of… read more here.
Keywords: based analytics; learning systems; analytics education; sensing based ... See more keywords
Accelerating Deep Learning Systems via Critical Set Identification and Model Compression
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2020.2970917
Abstract: Modern distributed engines are increasingly deployed to accelerate large-scaled deep learning (DL) training jobs. While the parallelism of distributed workers/nodes promises the scalability, the computation and communication overheads of the underlying iterative solving algorithms, e.g.,… read more here.
Keywords: learning systems; critical set; model; model compression ... See more keywords
On Development of Reliable Machine Learning Systems Based on Machine Error Tolerance of Input Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3194811
Abstract: With the rapid development of machine learning technologies, more and more practical applications arise. Representative machine learning techniques that receive much attention include object detection and image classification, which can be applied to many applications,… read more here.
Keywords: machine; input images; learning systems; machine learning ... See more keywords
A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3209175
Abstract: Deep neural network has shown a powerful performance in the medical image analysis of a variety of diseases. However, a number of studies over the past few years have demonstrated that these deep learning systems… read more here.
Keywords: learning systems; deep learning; attack; attention ... See more keywords
Memristive Fuzzy Deep Learning Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.2995966
Abstract: As a novel nanoscale device, the memristor has elicited widespread interest in implementing compact and efficient neurocomputing systems in the hardware. In this article, fuzzy deep learning systems using fuzzy memristive modeling methods are presented.… read more here.
Keywords: deep learning; recognition; learning systems; memristive fuzzy ... See more keywords
Automatic Learning Rate Adaption for Memristive Deep Learning Systems.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3244006
Abstract: As a possible device to further enhance the performance of the hybrid complementary metal oxide semiconductor (CMOS) technology in the hardware, the memristor has attracted widespread attention in implementing efficient and compact deep learning (DL)… read more here.
Keywords: learning rate; automatic learning; learning systems; rate ... See more keywords