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Now showing items 2231-2240 of 3148
Combating jamming attacks in multi-channel IoT networks using game theory
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the ...
Attention-Based Model for Accurate Stance Detection
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ...
Histogram-based thresholding in discrete wavelet transform for partial discharge signal denoising
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
White noise is a major interference source that affects the partial discharge (PD) signal detection and recognition. Wavelet shrinkage denoising methods can efficiently reject the white noise embedded in the PD signal ...
Progressive recovery for cloud-based infrastructure services
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Cloud-based services allow users to outsource their application and infrastructure needs over external datacenter/ networking facilities. However, as these offerings gain traction, there is a pressing need to address ...
Flexible advance reservation models for virtual network scheduling
(
IEEE Computer Society
, 2015 , Conference Paper)
Advance reservation services allows users to pre-reserve network resources at future instants in time. These offerings are already being used by a wide range of applications in scientific/grid computing, datacenter backup, ...
Accurate partial discharge classification from acoustic emission signals
(2013 , Conference Paper)
Accurate partial discharge (PD) classification provides significant information to asses power transformers' insulation condition. The work presented in this paper aims to improve classification from acoustic emission ...
Progressive recovery of virtual infrastructure services in optical cloud networks after large disasters
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper studies progressive recovery in optical cloud substrates supporting virtualized infrastructure services. Several resource placement/scheduling schemes are presented to improve post-fault recovery and also evaluated ...
A hybridized genetic algorithm for cost estimation in bridge maintenance systems
(2010 , Conference Paper)
A hybridized genetic algorithm is proposed to determine a repair schedule for a network of bridges. The schedule aims for the lowest overall cost while maintaining each bridge at satisfactory quality conditions. Appreciation, ...
Air quality monitoring and prediction system using machine-to-machine platform
(2012 , Conference Paper)
This paper presents an ambient air quality monitoring and prediction system. The system consists of several distributed monitoring stations that communicate wirelessly to a backend server using machine-to-machine communication ...
Classification ensemble to improve medical named entity recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ...