[PDF][PDF] The Challenges and Opportunities in the Implementation of E-Learning for Competence Development of State Civil Apparatus
A Suryanto, M Firdaus, A Aswi… - Information Sciences …, 2023 - digitalcommons.aaru.edu.jo
Despite its common utilization in developed countries, e-Learning is relatively new in
intensive ASN training in Indonesia. The utilization of e-Learning has increased sharply due …
intensive ASN training in Indonesia. The utilization of e-Learning has increased sharply due …
Capturing urban recreational hotspots from GPS data: A new framework in the lens of spatial heterogeneity
Recreational activities are heterogeneously distributed throughout urban space, with far
more low-density areas than high-density ones. Identification of recreational hotspots, or …
more low-density areas than high-density ones. Identification of recreational hotspots, or …
Online monitoring of sensor calibration status to support condition-based maintenance
Condition-Based Maintenance (CBM), based on sensors, can only be reliable if the data
used to extract information are also reliable. Industrial metrology plays a major role in …
used to extract information are also reliable. Industrial metrology plays a major role in …
Optimisation of COVID-19 vaccination process using GIS, machine learning, and the multi-layered transportation model
COVID-19 has affected the lives and well-being of billions of citizens worldwide. While
nondrug interventions have been partially effective in containing the COVID-19 epidemic …
nondrug interventions have been partially effective in containing the COVID-19 epidemic …
Clustering of countries according to the COVID-19 incidence and mortality rates
Background Two years after the beginning of the COVID-19 pandemic on December 29,
2021, there have been 281,808,270 confirmed cases of COVID-19, including 5,411,759 …
2021, there have been 281,808,270 confirmed cases of COVID-19, including 5,411,759 …
Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study
Abstract According to the World Health Organization, millions of infections and a lot of
deaths have been recorded worldwide since the emergence of the coronavirus disease …
deaths have been recorded worldwide since the emergence of the coronavirus disease …
K-DGHC: A hierarchical clustering method based on K-dominance granularity
Existing hierarchical clustering (HC) algorithms generally depend on the Euclidean
characteristic metric (Euclidean distance, Manhattan distance, Chebyshev distance, etc.) on …
characteristic metric (Euclidean distance, Manhattan distance, Chebyshev distance, etc.) on …
COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework
This research develops machine learning models equipped with interpretation modules for
mortality risk prediction and stratification in cohorts of hospitalised coronavirus disease-2019 …
mortality risk prediction and stratification in cohorts of hospitalised coronavirus disease-2019 …
Virtual learning during COVID-19: Exploring challenges and identifying highly vulnerable groups based on location
Amid the outbreak of the COVID-19 pandemic in the year 2020, educational platforms have
been forced to change and adapt from conventional physical learning to virtual learning …
been forced to change and adapt from conventional physical learning to virtual learning …
Municipal pathways in response to COVID-19: a strategic management perspective on local public administration resilience
This paper aims to understand the different resilience pathways local governments may take
during moments of crisis, specifically focusing on the COVID-19 pandemic. Through survey …
during moments of crisis, specifically focusing on the COVID-19 pandemic. Through survey …