College of Engineering: Recent submissions
Now showing items 2181-2200 of 8384
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CODE: Computation Offloading in D2D-Edge System for Video Streaming
( IEEE , 2022 , Article)Video traffic over the Internet is increasing rapidly, reaching up to 82% of the total Internet traffic by 2022. This enormous growth of video traffic which also include immersive video content (augmented reality ... -
Convolutional Neural Networks for patient-specific ECG classification
( IEEE , 2015 , Conference Paper)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 ... -
Drones-aided Asset Maintenance in Hospitals
( IEEE , 2022 , Conference Paper)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 ... -
Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography
( Springer , 2022 , Article)Myocardial infarction (MI) is a life-threatening disorder that occurs due to a prolonged limitation of blood supply to the heart muscles, and which requires an immediate diagnosis to prevent death. To detect MI, cardiologists ... -
Sparsity-cognizant multiple-access schemes for large wireless networks with node buffers
( IEEE , 2015 , Conference Paper)This paper proposes efficient multiple-access schemes for large wireless networks based on the transmitters' buffer state information and their transceivers' duplex transmission capability. First, we investigate the case ... -
On the delay/throughput-security tradeoff in wiretap TDMA networks with buffered nodes
( IEEE , 2019 , Article)In this paper, we investigate the tradeoff between security and throughput and between security and queuing delay in wiretap time-division multiple access (TDMA) networks. We derive a simple relationship, characterized by ... -
A sparsity-aware cooperative protocol for cognitive radio networks with energy-harvesting primary user
( IEEE , 2015 , Conference Paper)We consider a cognitive setting composed of multiple primary frequency bands each of which consists of a limited-battery energy-harvesting primary user and a secondary user. The primary user is equipped with a limited-capacity ... -
Cooperative access schemes for efficient SWIPT transmissions in cognitive radio networks
( IEEE , 2015 , Conference Paper)We investigate joint information and energy cooperative schemes in a slotted-time cognitive radio network with a primary transmitter-receiver pair and a set of secondary transmitter-receiver pairs. The primary transmitter ... -
On quantized compressed sensing with saturated measurements via greedy pursuit
( IEEE , 2015 , Conference Paper)We consider the problem of signal recovery under a sparsity prior, from multi-bit quantized compressed measurements. Recently, it has been shown that allowing a small fraction of the quantized measurements to saturate, ... -
Sparsity-Aware multiple relay selection in large dual-hop decode-And-forward broadband relay networks
( IEEE , 2016 , Conference Paper)In this paper, three novel techniques are proposed and investigated for multiple relay selection in dual hop OFDM networks. These techniques are based on the exploitation of sparse signal recovery theory and on carefully-designed ... -
Energy-efficient based on cluster selection and trust management in cooperative spectrum sensing
( IEEE , 2016 , Conference Paper)Cooperative spectrum sensing (CSS) has been proposed as a solution for radio spectrum resources scarcity problem. Clustering technique is introduced to increase the performance of CSS and overcome the shadowing and fading ... -
A regularization approach to MSE analysis of OFDM under phase noise
( Elsevier , 2018 , Article)Orthogonal frequency division multiplexing (OFDM) is widely used in broadband wireless communications systems because of its high resilience to frequency-selective fading and its low implementation complexity. Phase noise ... -
Sensor network architecture for deployment over low voltage powerlines
( IEEE , 2010 , Conference Paper)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. ... -
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 ... -
Joint secured and robust technique for OFDM systems
( IEEE , 2013 , Conference Paper)This work presents a novel technique for joint secured and robust transmission of orthogonal frequency division multiplexing (OFDM) based communication systems. The proposed system is implemented by developing a new OFDM ... -
WFlatnet: Introducing wireless in flatnet data center network
( IEEE , 2015 , Conference Paper)The basic challenge of data centers is how to interconnect a huge number of servers while guaranteeing the performance of the network. Flatnet is a promising data center architecture that has proved its efficiency to connect ... -
A survey of wireless data center networks
( IEEE , 2015 , Conference Paper)Data centers are becoming more and more popular for a wide variety of applications. However, the efficiency of data centers are restricted by many issues like cabling and maintenance problems in addition to performance ... -
An energy saving mechanism based on vacation queuing theory in data center networks
( Springer , 2018 , Conference Paper)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 ... -
Cooperative Machine Learning Techniques for Cloud Intrusion Detection
( IEEE , 2021 , Conference Paper)Cloud computing is attracting a lot of attention in the past few years. Although, even with its wide acceptance, cloud security is still one of the most essential concerns of cloud computing. Many systems have been proposed ... -
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
( IEEE , 2021 , Conference Paper)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 ...