Trust-Based Detection Strategy Against Replication Attacks in IoT

2021 ◽  
pp. 646-656
Author(s):  
Bacem Mbarek ◽  
Mouzhi Ge ◽  
Tomáš Pitner
Keyword(s):  
Detection Strategy

PTSD Symptom Validity: Update and Replication of Pilot Psychometric Data for Malingering Detection Strategy Indices

2012 ◽  
Author(s):  
Christopher Weaver ◽  
Avanti Jangalapalli ◽  
Kimberly Yano ◽  
Charles Ramskov ◽  
Paul Marcille
Keyword(s):  
Ptsd Symptom ◽  
Symptom Validity ◽  
Detection Strategy ◽  
Psychometric Data ◽  
Malingering Detection

A simple and sensitive direct mRNA multiplexed detection strategy for amoA-targeted monitoring of ammonia-oxidizing activity in water environment

2021 ◽  
Vol 162 ◽  
pp. 105794
Author(s):  
Lan Wang ◽  
Jun Wang ◽  
Qing Chen ◽  
Jian Yang ◽  
Liangwei Deng ◽  
...  
Keyword(s):  
Water Environment ◽  
Multiplexed Detection ◽  
Detection Strategy

A new disjunctive literal insertion fault detection strategy in boolean specifications

2021 ◽  
Vol 33 (5) ◽  
Author(s):  
T. K. Paul ◽  
M. J. M. Chowdhury ◽  
M. F. Lau
Keyword(s):  
Fault Detection ◽  
Detection Strategy

scholarly journals Echo chamber detection and analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giacomo Villa ◽  
Gabriella Pasi ◽  
Marco Viviani
Keyword(s):  
Social Media ◽  
Community Detection ◽  
Virtual Communities ◽  
Selective Exposure ◽  
Social Needs ◽  
News Sources ◽  
Detection Strategy ◽  
Echo Chambers ◽  
Echo Chamber ◽  
Content Aware

AbstractSocial media allow to fulfill perceived social needs such as connecting with friends or other individuals with similar interests into virtual communities; they have also become essential as news sources, microblogging platforms, in particular, in a variety of contexts including that of health. However, due to the homophily property and selective exposure to information, social media have the tendency to create distinct groups of individuals whose ideas are highly polarized around certain topics. In these groups, a.k.a. echo chambers, people only "hear their own voice,” and divergent visions are no longer taken into account. This article focuses on the study of the echo chamber phenomenon in the context of the COVID-19 pandemic, by considering both the relationships connecting individuals and semantic aspects related to the content they share over Twitter. To this aim, we propose an approach based on the application of a community detection strategy to distinct topology- and content-aware representations of the COVID-19 conversation graph. Then, we assess and analyze the controversy and homogeneity among the different polarized groups obtained. The evaluations of the approach are carried out on a dataset of tweets related to COVID-19 collected between January and March 2020.

An Innovative Anomaly Driving Detection Strategy for Adaptive FCW of CNN Approach

2021 ◽  
Author(s):  
Raja Mariatul Qibtiah ◽  
Zalhan Mohd Zin ◽  
Mohd Fadzil Abu Hassan ◽  
Siti Salwa Md Noor
Keyword(s):  
Detection Strategy

The sag detection strategy for seamless transfer APF-UPS system

2012 ◽  
Author(s):  
Kook-Nam Sung ◽  
Woo-Cheol Lee ◽  
Taeck-Ki Lee
Keyword(s):  
Detection Strategy ◽  
Seamless Transfer

A novel detection strategy for odorant molecules based on controlled bioengineering of rat olfactory receptor I7

2007 ◽  
Vol 22 (7) ◽  
pp. 1550-1555 ◽  
Author(s):  
Yanxia Hou ◽  
Nicole Jaffrezic-Renault ◽  
Claude Martelet ◽  
Aidong Zhang ◽  
Jasmina Minic-Vidic ◽  
...  
Keyword(s):  
Olfactory Receptor ◽  
Detection Strategy

scholarly journals A sandwich-like strategy for the label-free detection of oligonucleotides by surface plasmon fluorescence spectroscopy (SPFS)

The Analyst ◽  
2016 ◽  
Vol 141 (20) ◽  
pp. 5784-5791 ◽  
Author(s):  
Qiang Su ◽  
Gilbert Nöll
Keyword(s):  
Fluorescence Spectroscopy ◽  
Surface Plasmon ◽  
Molecular Beacons ◽  
Label Free ◽  
Background Fluorescence ◽  
Detection Strategy ◽  
Cutting Surface ◽  
Label Free Detection ◽  
Lower Background

Cutting surface-bound optical molecular beacons results in a sandwich-like detection strategy with lower background fluorescence.

Two-Step Electricity Theft Detection Strategy Considering Economic Return Based on Convolutional Autoencoder and Improved Regression Algorithm

2021 ◽  
pp. 1-1
Author(s):  
Xueyuan Cui ◽  
Shengyuan Liu ◽  
Z.Z. Lin ◽  
Jien Ma ◽  
Fushuan Wen ◽  
...  
Keyword(s):  
Economic Return ◽  
Electricity Theft ◽  
Detection Strategy ◽  
Convolutional Autoencoder
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