Results 11 to 20 of about 107,551 (188)
Event Detection in Molecular Communication Networks With Anomalous Diffusion [PDF]
IEEE Communications Letters, 2017 A key problem in nanomachine networks is how information from sensors is to be transmitted to a fusion center. In this paper, we propose a molecular communication-based event detection network. In particular, we develop a detection framework that can cope with scenarios where the molecules propagate according to anomalous diffusion instead of the ...
Trang C. Mai +3 more
openaire +3 more sources
Study on Anomalous Evolution Pattern on Temporal Networks [PDF]
Jisuanji kexueThe competitive methods for anomalous subgraphs detection have been successfully applied to tasks like event detection in social networks,traffic congestion detection in road networks,etc.However,few studies have been initiated in the dynamic evolution ...
WU Nannan, GUO Zehao, ZHAO Yiming, YU Wei, SUN Ying, WANG Wenjun
doaj +1 more source
Detection of anomalous high‐frequency events in human intracranial EEG [PDF]
Epilepsia Open, 2019 Abstract Objective High‐frequency oscillations (HFOs) are a promising biomarker for the epileptogenic zone. However, no physiological definition of an HFO has been established, so detection relies on the empirical definition of an HFO derived from visual observation.
Krit Charupanit +3 more
openaire +5 more sources
The Astrophysical Journal Supplement Series, 2023 To overcome the high optical extinction, near-infrared (NIR) observations are needed for probing the microlensing events toward the Galactic center. The 2015–2019 UKIRT microlensing survey toward the Galactic center is the first dedicated precursor NIR ...
Yongxin Wen, Weicheng Zang, Bo Ma
doaj +1 more source
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 +8 more sources
Impulsive Aggression Break, Based on Early Recognition Using Spatiotemporal Features
Big Data and Cognitive Computing, 2023 The study of human behaviors aims to gain a deeper perception of stimuli that control decision making. To describe, explain, predict, and control behavior, human behavior can be classified as either non-aggressive or anomalous behavior.
Manar M. F. Donia +2 more
doaj +1 more source
SCSS: An Intelligent Security System to Guard City Public Safe
IEEE Access, 2023 Traditional security surveillance detection relies on post-event forensics or is hosted on a backend server, making it impossible to identify behaviors filmed in the field online.
Kun Xia +3 more
doaj +1 more source
Distributed Network Anomaly Detection on an Event Processing Framework [PDF]
, 2017 Network Intrusion Detection Systems (NIDS) are an integral part of modern data centres to ensure high availability and compliance with Service Level Agreements (SLAs).
Jouet, Simon +2 more
core +1 more source
DETECTION OF ANOMALOUS EVENTS BASED ON DEEP LEARNING-BILSTM
Iraqi Journal of Information and Communication Technology, 2022 Video anomaly detection in smart cities is a critical errand in computer vision that plays an imperative role in intelligent surveillance and public security but is challenging due to its differing, complex, and rare event in real-time surveillance situations.
Zainab K. Abbas, Ayad A. Al-Ani
openaire +2 more sources
A generalized matrix profile framework with support for contextual series analysis [PDF]
, 2020 The Matrix Profile is a state-of-the-art time series analysis technique that can be used for motif discovery, anomaly detection, segmentation and others, in various domains such as healthcare, robotics, and audio.
De Paepe, Dieter +6 more
core +1 more source