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Deep learning and low rank dictionary model for mHealth data classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ...
On the joint scheduling and intra-cell interference coordination in multi-relay LTE uplink
(
IEEE
, 2012 , Conference Paper)
The relay-assisted Long Term Evaluation (LTE) cellular system is one of the most promising technologies to enhance the throughput and coverage of the access network. Injection of relays in a cell opens many issues of ...
The inapproximability of illuminating polygons by α-floodlights
(
Queen's University, Ontario, Canada
, 2015 , Conference Paper)
We consider variants of the art gallery problem where guard visibility is limited to a certain angular aperture-. We show that the problem is NP-hard even when guards can be located in the interior of the polygon. We then ...
Ambient Intelligence - Software and Applications: 6th International Symposium on Ambient Intelligence (ISAmI 2015)
(
Springer Verlag
, 2015 , Conference Paper)
[No abstract available]
Channel secondary random process for robust secret key generation
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
The broadcast nature of wireless communications imposes the risk of information leakage to adversarial users or unauthorized receivers. Therefore, information security between intended users remains a challenging issue. ...
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...
Hierarchical Federated Learning for Collaborative IDS in IoT Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
As the Internet-of-Things devices are being very widely adopted in all fields, such as smart houses, healthcare, and transportation, extremely huge amounts of data are being gathered, shared, and processed. This fact raises ...
EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this paper, we conduct a biological data collection and analysis study for patients undergoing routine planned intravenous antibiotic treatment. The acquired data (i.e., Electroencephalogram (EEG), temperature and blood ...
ONSRA: An Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The rapid production of mobile and wearable devices along with the wireless applications boom is continuing to evolve everyday. This motivates network operators to integrate and exploit wireless spectrum across multiple ...
Estimating the number of sources: An efficient maximization approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Estimating the number of sources received by an antenna array have been well known and investigated since the starting of array signal processing. Accurate estimation of such parameter is critical in many applications that ...