Original Research Article Design and implementation of an interactive virtual laboratory in distance education in Argentine universities

L Meng, Y Guo - Journal of Autonomous Intelligence, 2024 - jai.front-sci.com
The adoption of distance education (DE) in Argentine universities has long been in practice
and was accelerated by the COVID-19 pandemic. The effectiveness of online learning (OL) …

Design and evaluation of multimodal learning resources in blended teaching of college English

J Zhang, L Ma - Environment and Social Psychology, 2024 - ojs.as-pub.com
Higher Education (HE) is transforming towards embracing global pedagogical standards,
particularly emphasizing student-centered learning models. In conjunction with these …

Fundamental Components and Principles of Supervised Machine Learning Pipelines with Numerical and Categorical Data

SI Kampezidou, AT Ray, AP Bhat, OJP Fischer… - 2023 - preprints.org
This paper offers a comprehensive examination of the process involved in developing and
automating supervised end-to-end machine learning workflows for forecasting and …

[PDF][PDF] AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain. Processes 2023, 11, 757

S Padhy, M Alowaidi, S Dash, M Alshehri, PP Malla… - 2023 - academia.edu
Every aspect of the 21st century has undergone a revolution because of the Internet of
Things (IoT) and smart computing technologies. These technologies are applied in many …

An Energy-Aware Task Scheduling Method using the Meta-Heuristic Algorithm in IoT Environments

F Bahranipour, SE Mood, A Souri… - Intelligent Computing on …, 2024 - taylorfrancis.com
In recent years, with advances in technology, the emergence of the IoT has brought about
major changes in the area of networked information technology [1]. The devices of the …

Mitigating Uncertainty of Resource Allocation in Heterogeneous Computing Environment

A Feoktistov, A Tchernykh, V Dmitriev - Редакционная коллегия, 2022 - elibrary.ru
In the paper, we propose an approach to mitigating uncertainty in the correspondence of
computational tasks and resources of a heterogeneous environment. The aforementioned …

Allocation of virtual machine in a cloud environment based on machine learning

H Frikha, A Meddeb-Makhoulf, F Zarai - 2023 - researchsquare.com
Nowadays, the technics of health applications that use the cloud are being developed.
However, the existing methods are static and cannot approve dynamic changes in the …

Cyber-Physical System in AI-Enabled Smart Healthcare System

J Srivastava, S Routray - Secure and Smart Cyber-Physical Systems - taylorfrancis.com
Smart Healthcare System (SHS) utilizes the IoMT (Internet of Medical Things) framework that
enables automation in the healthcare sector using Artificial Intelligence (AI) which collects …

Implementaciones actuales del modelo confianza cero para entornos en la nube: una revisión sistemática

JC Oliva, BHE Luna… - … , Revista electrónica de …, 2023 - recibe.cucei.udg.mx
La expansión de la computación en la nube en las organizaciones modernas enfrenta
nuevos desafíos de seguridad de la información, en consecuencia, surge el paradigma de …

[PDF][PDF] Inverting innovation: jurisdiction-specific digital health dashboards for decision-making to enable

TR Katapally, ST Ibrahim - researchgate.net
Background: The timely accessibility of big data that are readily usable by decision-makers
can transform decision-making processes across health systems. Objective: This study …