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Wireless sensor networks [PDF]
IEEE Wireless Communications, 2004 Havinga, Paul J.M. +2 more
core +8 more sources
Outlier Detection Techniques For Wireless Sensor Networks: A Survey [PDF]
, 2008 In the field of wireless sensor networks, measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network.
Havinga, P.J.M. +2 more
core +18 more sources
IEEE Access, 2021 Malicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a Compressed Sensing for Malicious node Compensation theorem (abbreviated ...
Prateek +4 more
doaj +1 more source
Outlier detection algorithm based on k-nearest neighbors-local outlier factor
Journal of Algorithms & Computational Technology, 2022 The main task of outlier detection is to detect data objects which have a different mechanism from the conventional data set. The existing outlier detection methods are mainly divided into two directions: local outliers and global outliers. Aiming at the
He Xu, Lin Zhang, Peng Li, Feng Zhu
doaj +1 more source
Scientific Reports, 2022 Localization in underwater wireless sensor network (UWSN) faces an imminent threat when the triangulating anchor node starts to malfunction. Traditional geometric approaches are insufficient to cope with the survivability of UWSN topology.
Prateek +4 more
doaj +1 more source
Networking issues in wireless sensor networks [PDF]
Journal of Parallel and Distributed Computing, 2004 The emergence of sensor networks as one of the dominant technology trends in the coming decades (Technol. Rev. (February 2003)) has posed numerous unique challenges to researchers. These networks are likely to be composed of hundreds, and potentially thousands of tiny sensor nodes, functioning autonomously, and in many cases, without access to ...
Ganesan, Deepak +5 more
openaire +2 more sources
An Entity Relation Extraction Method Based on Dynamic Context and Multi-Feature Fusion
Applied Sciences, 2022 Dynamic context selector, a kind of mask idea, will divide the matrix into some regions, selecting the information of region as the input of model dynamically.
Xiaolin Ma +3 more
doaj +1 more source
A Keyword Detection and Context Filtering Method for Document Level Relation Extraction
Applied Sciences, 2022 Relation extraction (RE) is the core link of downstream tasks, such as information retrieval, question answering systems, and knowledge graphs. Most of the current mainstream RE technologies focus on the sentence-level corpus, which has great limitations
Hailan Kuang +3 more
doaj +1 more source
Heart Rate Measurement Based on 3D Central Difference Convolution with Attention Mechanism
Sensors, 2022 Remote photoplethysmography (rPPG) is a video-based non-contact heart rate measurement technology. It is a fact that most existing rPPG methods fail to deal with the spatiotemporal features of the video, which is significant for the extraction of the ...
Xinhua Liu +3 more
doaj +1 more source
Efficient Spatiotemporal Attention Network for Remote Heart Rate Variability Analysis
Sensors, 2022 Studies have shown that ordinary color cameras can detect the subtle color changes of the skin caused by the heartbeat cycle. Therefore, cameras can be used to remotely monitor the pulse in a non-contact manner.
Hailan Kuang +3 more
doaj +1 more source