Electrical Engineering: Recent submissions
Now showing items 661-680 of 2821
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Joint learning and optimization for Federated Learning in NOMA-based networks
( Elsevier , 2023 , Article)Over the past decade, the usage of machine learning (ML) techniques have increased substantially in different applications. Federated Learning (FL) refers to collaborative techniques that avoid the exchange of raw data ... -
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance
( IEEE , 2023 , Article)Advances in communication technologies and computational capabilities of Internet of Things (IoT) devices enable a range of complex applications that require ever increasing processing of sensors' data. An illustrative ... -
Revisiting crowd counting: State-of-the-art, trends, and future perspectives
( Elsevier , 2023 , Article Review)Crowd counting is an effective tool for situational awareness in public places. Automated crowd counting using images and videos is an interesting yet challenging problem that has gained significant attention in computer ... -
Drones-aided Asset Maintenance in Hospitals
( IEEE , 2022 , Conference)The rapid outbreak of COVID-19 pandemic invoked scientists and researchers to prepare the world for future disasters. During the pandemic, global authorities on healthcare urged the importance of disinfection of objects ... -
Convolutional Neural Networks for patient-specific ECG classification
( IEEE , 2015 , Conference)We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and ... -
I/Q imbalance and loop-back self interference effects in full-duplex OFDM DF relays
( IEEE , 2015 , Conference)We analyze the outage probability of dual-hop full-duplex decode-and-forward relaying for an orthogonal frequency division multiplexing system in the presence of I/Q imbalance. We derive accurate analytical approximations ... -
On I/Q imbalance effects in full-duplex OFDM decode-and-forward relays
( IEEE , 2014 , Conference)We analyze the outage probability of dual-hop full-duplex decode-and-forward relaying for an orthogonal frequency division multiplexing system in the presence of I/Q imbalance. We derive accurate analytical approximations ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
( IEEE , 2021 , Conference)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
( IEEE , 2022 , Conference)Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ... -
Advanced packet scheduling for efficient video support with limited channel feedback on MIMO LTE downlink
( IEEE , 2011 , Conference)Next-generation mobile networks will provide users with high data rates, increased mobility and various services. The initial step made in LTE and LTE-A is adopting the OFDM(A) air interface and utilization of dynamic ... -
Federated Learning for UAV Swarms under Class Imbalance and Power Consumption Constraints
( IEEE , 2021 , Conference)The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, ... -
Effect of high-velocity scenarios on the performance of MIMO LTE packet scheduling
( IEEE , 2011 , Conference)In this paper we analyze the performance of advanced OFDM packet scheduling techniques based on 3GPP UTRAN Long Term Evolution (LTE) framework for high velocity scenarios. Based on our previous investigations in system ... -
Enhanced Alamouti decoding scheme for DVB-T2 systems in SFN channels
( IEEE , 2011 , Conference)The standard Alamouti space-frequency block code (SFBC) suffers from performance degradation when used over highly frequency-selective channels because the channel frequency response is not necessarily flat over the Alamouti ... -
Estimation of highly selective channels for downlink LTE system by a robust neural network
( IEEE , 2010 , Conference)In this paper we propose a robust channel estimator for Long Term Evolution (LTE) downlink highly selective using neural network. This method uses the information provided by the reference signals to estimate the total ... -
Cloud-Ready Biometric System for Mobile Security Access
( Springer , 2012 , Conference)In this contribution, we introduce an application that allows a mobile phone to be used as a biometric-capture device for secure access to the cloud. In this application, the biometric capture and recognition are performed ... -
Cloud-based mobile system for biometrics authentication
( IEEE , 2013 , Conference)This paper introduces a new framework to perform handwritten password authentication as an Internet service based on the cloud computing technology. Using the proposed cloud-based authentication platform, we would be able ... -
An energy saving mechanism based on vacation queuing theory in data center networks
( Springer , 2018 , Conference)To satisfy the growing need for computing resources, data centers consume a huge amount of power which raises serious concerns regarding the scale of the energy consumption and wastage. One of the important reasons for ... -
Sensor network architecture for deployment over low voltage powerlines
( IEEE , 2010 , Conference)This paper presents the design and implementation of an efficient sensor network (SN) over standard powerlines. As an application of the proposed SN, a home security and surveillance system was designed and implemented. ... -
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
( IEEE , 2021 , Conference)Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ... -
A Unified Framework for Differentiated Services in Intelligent Healthcare Systems
( IEEE , 2022 , Article)The Coronavirus disease 2019 (COVID-19) outbreak continues to significantly expose the vulnerabilities of healthcare systems around the world. These unprecedented circumstances create an opportunity for improving healthcare ...
