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Now showing items 51-60 of 100
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 ...
Hyper-Flatnet: A novel network architecture for data centers
(
IEEE
, 2015 , Conference Paper)
Massive data centers form the core infrastructure support for the ever increasing cloud based services. Hence, the performance of data centers will have important influence on the scalability of these services. In particular, ...
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 ...
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, ...
A survey on data center network topologies
(
Springer
, 2018 , Conference Paper)
Data centers are the infrastructures that support the cloud computing services. So, their topologies have an important role on controlling the performance of these services. Designing an efficient topology with a high ...
ScalNet: A novel network architecture for data centers
(
IEEE
, 2015 , Conference Paper)
This paper presents the design, implementation and evaluation of ScalNet, novel network architecture for data centers. ScalNet is a cost-effective, high- performance and scalable interconnect with almost flat architecture. ...
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 ...
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
(
IEEE
, 2022 , Conference Paper)
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 ...
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 ...