Now showing items 1-10 of 20
Self-optimization of dense wireless sensor networks based on simulated annealing
Wireless sensor network (WSN) Is a technology that can be used to monitor and actuate on environments in a non-intrusive way. The main difference from WSN and traditional sensor networks is the low dependability of WSN ...
Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
Concept drift, which refers to non stationary learning problems over time, has increasing importance in machine learning and data mining. Many concept drift applications require fast response, which means an algorithm must ...
An intelligent system to detect drilling problems through drilled cuttings return analysis
Cuttings return analysis is an important tool to detect and prevent problems during the petroleum well drilling process. Several measurements and tools have been developed for drilling problems detection, including mud ...
Experimental And Numerical Analysis Of A Gas-liquid Flow Operating In The Heterogeneous Regime
(Italian Association of Chemical Engineering - AIDIC, 2011)