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Multi-access edge computing: A survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Other)
Multi-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems. Located in close proximity ...
Automation of systematic literature reviews: A systematic literature review
(
Elsevier
, 2021 , Article Review)
Context: Systematic Literature Review (SLR) studies aim to identify relevant primary papers, extract the required data, analyze, and synthesize results to gain further and broader insight into the investigated domain. ...
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Wireless network communication has developed rapidly in recent years, especially in the field of Internet of vehicles (IoV). However, due to the limitations of traditional network architecture, resource scheduling in ...
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
(
Elsevier
, 2022 , Article Review)
With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ...
A smartphone-interfaced, low-cost colorimetry biosensor for selective detection of bronchiectasis via an artificial neural network
(
Royal Society of Chemistry
, 2022 , Article)
Exhaled breath (EB) contains several macromolecules that can be exploited as biomarkers to provide clinical information about various diseases. Hydrogen peroxide (H2O2) is a biomarker because it indicates bronchiectasis ...
Predicting Plasma Vitamin C Using Machine Learning
(
Taylor and Francis Ltd.
, 2022 , Article)
Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict ...
Obstacles and features of health information systems: A systematic literature review
(
Elsevier
, 2021 , Article Review)
Background: Currently many healthcare systems are supported by an increasing set of Health Information Sys-tems (HISs), which assist the activities for multiple stakeholders. The literature on HISs is, however, fragmented ...
Precision nutrition: A systematic literature review
(
Elsevier
, 2021 , Article Review)
Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ...
Budgeted online selection of candidate iot clients to participate in federated learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ...
StabTrust-A Stable and Centralized Trust-Based Clustering Mechanism for IoT Enabled Vehicular Ad-Hoc Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Vehicular Ad-hoc Network (VANET) is a modern era of dynamic information distribution among societies. VANET provides an extensive diversity of applications in various domains, such as Intelligent Transport System (ITS) and ...