Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation by Mengdi Wang, Anrong Xue, Huanhuan Xia

“…Abnormal event detection is one of the vital tasks in wireless sensor networks. …”
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Seizures, Psychosis, and Cerebral Vascular Malformation: A Rare Chain of Events by Ismail Hanine, Khadija Benallel, Roukaya Benjelloun, Mohamed Kadiri

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Oprah, Meghan, Harry, Pseudo-Events, and a Quick Fix to Boredom by Łukasz Muniowski

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Event Related Potentials and Serial List Picture Memory in Parkinson’s Patients by M. S. Korsnes, I. Reinvang

“…Two experiments examined short-term memory for order information in six patients diagnosed with Parkinson's disease (PD) and six control subjects while event related potentials (ERPs) were recorded. The subjects were tested for recognition of abstract spatial designs and words after a 5 s retention interval. …”
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Atmospheric Contributors to Heavy Rainfall Events in the Arkansas-Red River Basin by Taylor A. McCorkle, Skylar S. Williams, Timothy A. Pfeiffer, Jeffrey B. Basara

“…Individual events were then compared with other cases throughout the basin. …”
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Event-Based Clustering Architecture for Power Efficiency in Wireless Sensor Networks by Kai-Ting Yang, Wei Kuang Lai, Shu-Min Li, Yuh-Chung Lin

“…Data transmissions only occur when abnormal events are detected. An abnormality will be reported to the data center only if the majority of cluster members sense the same event. …”
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Diagnosis and Treatment of Rheumatic Adverse Events Related to Immune Checkpoint Inhibitors by Yan Xiao, Lin Zeng, Qinglin Shen, Zhiyong Zhou, Zhifang Mao, Qin Wang, Xiquan Zhang, Yingliang Li, Weirong Yao

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Method for Information Security Events Detection in a Cloud Signature Systems by V. A. Gerasimov, O. V. Boyprav

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The introduction of the international normalized ratio as a breakthrough event in the history of thrombosis by Armando Tripodi

“… Very few among the youngest readers of this Journal would think about the introduction of the international normalized ratio (INR) as a breakthrough event in the history of thrombosis... …”
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Risk Prediction of Sports Events Based on Gray Neural Network Model by Zhihui Wang

“…First, the article introduces a literature review of sports event risk warning, combined with the sports event risk warning index system; summarizes the main advantages of using neural network and fuzzy theory; and establishes a sports event risk warning model relied on neural network. …”
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Calculated Event Rates for Axion Detection via Atomic and Nuclear Processes by John D. Vergados, Paraskevi C. Divari, Hiroyasu Ejiri

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A szélsőséges időjárási jelenségek hatásai (Effects of the Extreme Weather Events) by Tamás Molnár, Katalin M. Barna

“…The increase of extreme weather events and its effects associated with the global warming have also growing impact on agricultural production. …”
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Thermodynamics of the FRW Universe at the Event Horizon in Palatini f(R) Gravity by A. S. Sefiedgar, M. Mirzazadeh

“…In an accelerated expanding universe, one can expect the existence of an event horizon. It may be interesting to study the thermodynamics of the Friedmann-Robertson-Walker (FRW) universe at the event horizon. …”
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Attack detection method based on spatiotemporal event correlation in intranet environment by Wei SUN, Peng ZHANG, Yongquan HE, Lichao XING

Subjects: “…spatiotemporal event…”
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Study of Life Events and Quality of Life in Patients of Major Depressive Disorder by Alkesh Patil, Aparna Sengupta, Ashwini Mule, Sagar Karia

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Review of some Scientific Events Held at MGIMO in March-May 2011 by M. V. Kharkevich, I. A. Istomin

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Research on appliance event detection method based on intelligent perception technology by Ziyuan YANG, Xiaobin XU, Xin LI, Yimeng ZHAO

“…The rapid development of Internet of things and intelligent technologies provides the system support for intelligent load perception technology of power usage,as well as provides analytical data for power user behavior.In order to realize the accurate identification of equipment start or stop events,a technical proposal which combined the high frequency and high precision power data with the dynamic time consolidation (DTW) algorithm was proposed,and an experimental testing platform based on the independent hardware was built.The experimental results show that the power incident identification algorithm has a high identification accuracy and recall rate,which can be applied in more scenarios to realize the full perception of power load.…”
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Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

Subjects: “…Event detection…”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…In this regard, sleep spindles and K-complexes are two major waveform patterns of interest to specialists, who visually inspect the recordings to identify these events. The literature typically follows a traditional approach that examines the time-varying signal to identify features representing the events of interest. …”
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Complexity-Based Discrepancy Measures Applied to Detection of Apnea-Hypopnea Events by R. E. Rolón, I. E. Gareis, L. E. Di Persia, R. D. Spies, H. L. Rufiner

“…The main objective of this work is to explore a method that uses such measures for constructing discriminative subdictionaries for detecting apnea-hypopnea events using pulse oximetry signals. Besides traditional discrepancy measures, we study a simple one called Difference of Conditional Activation Frequency (DCAF). …”
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