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» Detecting Fraud in Mobile Telephony Using Neural Networks
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SIGCOMM
2012
ACM
11 years 7 months ago
Measuring and fingerprinting click-spam in ad networks
Advertising plays a vital role in supporting free websites and smartphone apps. Click-spam, i.e., fraudulent or invalid clicks on online ads where the user has no actual interest ...
Vacha Dave, Saikat Guha, Yin Zhang
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 2 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
RAS
2000
116views more  RAS 2000»
13 years 5 months ago
Collision avoidance using a model of the locust LGMD neuron
The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a ne...
Mark Blanchard, F. Claire Rind, Paul F. M. J. Vers...
IWANN
2009
Springer
13 years 12 months ago
Outdoors Monitoring of Elderly People Assisted by Compass, GPS and Mobile Social Network
Abstract. We explore the use of mobile social network technology combined with modern mobile phone hardware as a platform for programming applications in the elder care area. An ap...
Roberto Calvo-Palomino, Pedro de las Heras Quir&oa...
BMCBI
2010
118views more  BMCBI 2010»
13 years 5 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...