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Deep Federated Learning for IoT-based Decentralized Healthcare Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Recent trends in the healthcare industry, such as the use of wearable IoT for continuous health monitoring, are setting new requirements for healthcare systems that boost data analysis. These systems should support ...
A Testbed for Implementing Lightweight Physical Layer Security in an IoT-based Health Monitoring System
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Telemedicine is a technique that allows patients to have health-related consultations without the need to be physically present in the hospital through phone and video calling technologies. In recent years, researchers ...
Blockchain and Learning-Based Computation Offloading in Space-Assisted Power IoT
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Power systems impose stringent security and delay requirements on computation offloading, which cannot be satisfied by existing PIoT. In this paper, we address this challenge by combining blockchain and machine learning. ...
Res6Edge: An Edge-AI Enabled Resource Sharing Scheme for C-V2X Communications towards 60
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The paper proposes a sixth-generation (6G)-enabled cellular vehicle-to-anything (C-V2X)-based scheme, ResóEdge, that supports high-data ingestion rate through artificial intelligence (AI) models at edge nodes, or Edge-AI. ...
Power Enhancement by Transmitting AC-DC Power Simultaneously-An Experimental Implementation
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Power transfer enhancement has become an issue because of thermal and stability limitations associated with AC transmission. This paper presents a model at which transmission lines are loaded near to their maximum ampacity ...
Mesh Network-Based Device-To-Device Negotiation System for Energy Management
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Electric utilities encounter high-load demand during peak times leading to high losses in the power system. Recent research has targeted the improvement of efficient energy consumption at the demanding areas. Therefore, ...
ADS-B Attack Classification using Machine Learning Techniques
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Automatic Dependent Surveillance Broadcast (ADS-B) is one of the most prominent protocols in Air Traffic Control (ATC). Its key advantages derive from using GPS as a location provider, resulting in better location accuracy ...
MARL: Multimodal Attentional Representation Learning for Disease Prediction
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Existing learning models often utilise CT-scan images to predict lung diseases. These models are posed by high uncertainties that affect lung segmentation and visual feature learning. We introduce MARL, a novel Multimodal ...
On the applicability of 2D local binary patterns for identifying electrical appliances in non-intrusive load monitoring
(
Springer
, 2021 , Conference Paper)
In recent years, the automatic identification of electrical devices through their power consumption signals finds a variety of applications in smart home monitoring and non-intrusive load monitoring (NILM). This work ...
Appliance-Level Monitoring with Micro-Moment Smart Plugs
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry ...