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Detecting activities through variance and slope

Detecting changes in slope with an L0 penalty

Detecting changes in slope with an L0 penalty

... the variance of the residuals. Within a segment, the variance of the second differences of the data is easily shown to be 6 times the variance of the ...

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Assessing areas of slope instability through a spatial decision support system.

Assessing areas of slope instability through a spatial decision support system.

... the variance within the class, while maximizing each class’s deviation from the means of the other groups, leads to maximizing of the variance between classes (De Smith et ...

12

Detecting changes in slope with an L0 penalty

Detecting changes in slope with an L0 penalty

... in slope differs considerably from changepoint to changepoint, with the change in slope being small in many cases (see the example data sets in the bottom row of Figure ...detection through ...

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Toward Detecting Malicious Activities in Online Social Network through User Behavior

Toward Detecting Malicious Activities in Online Social Network through User Behavior

... Transforming a directed graph into an undirected one oversimplifies the graph structure and achieves limited accuracy. there are two ways to transform a directed graph to an undirected one. One way is to keep an ...

5

Detecting and Responding to Suspicious Activities

Detecting and Responding to Suspicious Activities

... One of the downsides is it’s not real time. It’s after the transaction has occurred, after potentially a criminal has obtained money. Banks have evolved from that. They started using mobile devices to actually either ...

13

Detecting bots based on keylogging activities

Detecting bots based on keylogging activities

... The fifth and the final experiment (E5) involves applying the monitoring program to another application (mIRC client [17]) to verify that mIRC client behaves differently from the bot. Each experiment is performed five ...

7

Detecting Fraudulent Activities to Bump Rankings of

Detecting Fraudulent Activities to Bump Rankings of

... ranking, rating and review behaviors through statistical hypotheses tests. In addition, we propose an optimization based aggregation method to integrate all the evidences for fraud detection. Finally, we evaluate ...

5

Detecting, Tracking, And Recognizing Activities In Aerial Video

Detecting, Tracking, And Recognizing Activities In Aerial Video

... Simply detecting objects in every frame does not provide sufficient understanding of the nature of their existence in the ...travelled through the scene over time and which areas they have ...

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Detecting Informed Trading Activities in the Options Markets

Detecting Informed Trading Activities in the Options Markets

... Most of these companies belong to the list of banks which were bailed out and, in which, the American Treasury Department invested approximately $ 200 billion through its Capital Purchase Program in an effort to ...

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INTEGRATION OF MULTI-SENSORS DATA IN DETECTING SLOPE MOVEMENT BASED ON THRESHOLD VALUES

INTEGRATION OF MULTI-SENSORS DATA IN DETECTING SLOPE MOVEMENT BASED ON THRESHOLD VALUES

... Tenaga Nasional Berhad (TNB) has owned 95% of power lines in Peninsula Malaysia. The power chains lie from North to South through various landuse and topography. Concern on the stability of transmission tower ...

5

Detecting collusive spamming activities in community question answering

Detecting collusive spamming activities in community question answering

... Figure 1: Collusive Spamming Activities on CQA Platforms. After accepting those promotion campaign crowd-sourcing tasks, the crowd workers then accomplish those campaigns through posting malicious questions ...

10

Detecting Spamming Activities by Network Monitoring with Bloom Filters

Detecting Spamming Activities by Network Monitoring with Bloom Filters

... Fig. 2. The Received path in the mail header. regularly scanning the mail servers to see whether they are accidentally configured to be open relays or not. 2) The spammer cracks user accounts beforehand, e.g., by ...

6

Analyzing and Detecting Malicious Activities in Emerging Communication Platforms

Analyzing and Detecting Malicious Activities in Emerging Communication Platforms

... experiment. Through manually analyzing these apps, we find four possible reasons that induce those false negatives: (i) Adware: we find DroidMiner missed identifying 11 instances of adware (seven belong to ...

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Posterior Tibial Slope and Metaphysio-Diaphyseal angle as a
marker in detecting osteoarthritis in Indian population

Posterior Tibial Slope and Metaphysio-Diaphyseal angle as a marker in detecting osteoarthritis in Indian population

... These structural differences between the two menisci explains the lesser mobility and the greater vulnerability of the medial meniscus. (see Fig. 3). There are only a few muscle fibres attached to the menisci. A few ...

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Detecting Mass Protest through Social Media

Detecting Mass Protest through Social Media

... On the other hand, the absolute quantity of tweets in central Kiev, where the mass protests were predomi- nantly occurring, is actually negatively associated with the occurrence of mass protest. This is highly ...

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Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter

Detecting the Usage of Vulgar Words in Cyberbully Activities from Twitter

... life activities instantly anytime and ...done through social media include updating the status or posting a public message, and photos are also commenting on other timelines ...online activities ...

6

Detecting Online Spams through Supervised Learning Techniques

Detecting Online Spams through Supervised Learning Techniques

... cryptographic activities to be perform on all ...of detecting compromised accounts is done and in this study approach, it takes both extroversive and introversive behavior in to the ...for detecting ...

6

Detecting Privacy Leaks Through Existing Android Frameworks

Detecting Privacy Leaks Through Existing Android Frameworks

... Dynamic analysis. The way of implementation for all the surveyed proposals in both categories is different. For dynamic analysis, the frameworks can be implemented on the application level or framework and Linux kernel ...

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Detecting Anxiety through Reddit

Detecting Anxiety through Reddit

... into detecting mental illnesses through social media have predominately focused on detect- ing depression through Twitter corpora (De Choudhury et ...disorders through personal narratives ...

8

A nonparametric approach to detecting changes in variance in locally stationary time series

A nonparametric approach to detecting changes in variance in locally stationary time series

... for detecting changes in ...that detecting a change in variance in the time domain can be transformed into detecting a change in mean in a transformed domain, given a suitable ...

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