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A model for anomaly classification in intrusion detection systems
(2015-09-21)
Intrusion Detection Systems (IDS) are traditionally divided into two types according to the detection methods they employ, namely (i) misuse detection and (ii) anomaly detection. Anomaly detection has been widely used and ...
Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
(Slovak Univ Tech Bratislava, 2008-01-01)
Mobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the ...
Identification and feature selection of non-technical losses for industrial consumers using the software WEKA
(2012-12-01)
This work has as objectives the implementation of a intelligent computational tool to identify the non-technical losses and to select its most relevant features, considering information from the database with industrial ...
Color and texture influence on computer-aided diagnosis of dermatological ulcers
(Institute of Electrical and Electronics Engineers – IEEEUniversidade de São Paulo - USPSão Carlos e Ribeirão Preto, 2015-06)
This study presents an analysis of classification techniques for Computer-Aided Diagnosis (CAD) regarding ulcerated lesions. We focus on determining influence of both color and texture in the automated image classification ...
Manufacturing Automation Network's Cooperative E-space
(Springer New York LLC, 2004)
Classification of petroleum well drilling operations using Support Vector Machine (SVM)
(2007-12-01)
During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These sensors, distributed in the rig, ...
Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
(2008-10-06)
Mobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...