Semantic communications for future internet: Fundamentals, applications, and challenges
With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …
networks will shift from a traditional architecture that focuses solely on a high transmission …
Exploring the computational cost of machine learning at the edge for human-centric Internet of Things
O Gómez-Carmona, D Casado-Mansilla… - Future Generation …, 2020 - Elsevier
In response to users' demand for privacy, trust and control over their data, executing
machine learning tasks at the edge of the system has the potential to make the Internet of …
machine learning tasks at the edge of the system has the potential to make the Internet of …
Evaluation of cloud vendors from probabilistic linguistic information with unknown/partial weight values
S Ramadass, R Krishankumar, KS Ravichandran… - Applied Soft …, 2020 - Elsevier
As IT industries grow at a faster pace, cloud technology becomes inevitable. Attracted by the
scope, many cloud vendors (CVs) arise. A rational/systematic selection is an urge to tackle …
scope, many cloud vendors (CVs) arise. A rational/systematic selection is an urge to tackle …
Internet of things (iot) connectivity in 6g: An interplay of time, space, intelligence, and value
Internet of Things (IoT) connectivity has a prominent presence in the 5G wireless
communication systems. As these systems are being deployed, there is a surge of research …
communication systems. As these systems are being deployed, there is a surge of research …
Edge optimized and personalized lifelogging framework using ensembled metaheuristic algorithms
The fostered use of smart wearables for lifelogging daily activities has fuelled massive data
generation. Lack of personalization, massive network traffic, increased latency, and high …
generation. Lack of personalization, massive network traffic, increased latency, and high …
A primer for tinyml predictive maintenance: Input and model optimisation
In this paper, we investigate techniques used to optimise tinyML based Predictive
Maintenance (PdM). We first describe PdM and tinyML and how they can provide an …
Maintenance (PdM). We first describe PdM and tinyML and how they can provide an …
A discreet wearable long-range emergency system based on embedded machine learning
C Orfanidis, RBH Hassen, A Kwiek… - … and other Affiliated …, 2021 - ieeexplore.ieee.org
Low-Power Wide Area Networks have contributed in several parts of the Internet of Things
ecosystem during the last years by enabling long range, robust and low power …
ecosystem during the last years by enabling long range, robust and low power …
A Machine Learning Approach for Physical Activity Recognition in Cystic Fibrosis
MS Bianchim, MA McNarry, AR Barker… - … in Physical Education …, 2024 - Taylor & Francis
This study aimed to develop and validate machine learning models to predict intensities in
children and adolescents with cystic fibrosis (CF) across different accelerometry brands and …
children and adolescents with cystic fibrosis (CF) across different accelerometry brands and …
Joint apnea and body position analysis for home sleep studies using a wireless audio and motion sensor
This study aims to evaluate the accuracy of a wireless tracheal audio sensor including the
sleep body position measurement, as a possible tool to screen for obstructive sleep apnea …
sleep body position measurement, as a possible tool to screen for obstructive sleep apnea …
[PDF][PDF] Joint Apnea and Body Position Analysis for Home Sleep Studies Using a Wireless Audio and Motion Sensor
This study aims to evaluate the accuracy of a wireless tracheal audio sensor including the
sleep body position measurement, as a possible tool to screen for obstructive sleep apnea …
sleep body position measurement, as a possible tool to screen for obstructive sleep apnea …