Search Results - (( parameter detection method algorithm ) OR ( data normalization based algorithm ))
Search alternatives:
- parameter detection »
- normalization based »
- data normalization »
- method algorithm »
-
1
Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…This creates the jamming detection and classification parameters. The second stage is detecting jammers by integrating both lower layers by developing Integrated Combined Layer Algorithm (ICLA). …”
Get full text
Get full text
Thesis -
2
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
Get full text
Get full text
Thesis -
3
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
Get full text
Get full text
Get full text
Thesis -
4
Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…The genetic algorithm configuration for n (number of observations) and p (parameter) was changed to assess the performance of modified method. …”
Get full text
Get full text
Thesis -
5
Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. …”
Get full text
Get full text
Article -
6
Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems
Published 2012“…We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. …”
Get full text
Get full text
Article -
7
The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
Published 2006“…To ensure the performance of the system, some experiments are done by adjusting the network parameters of the back propagation training algorithm. …”
Get full text
Get full text
Thesis -
8
Fault Detection and Identification in Quadrotor System (Quadrotor Robot)
Published 2016“…The aim of the research is to construct and design a Fault Detection and Isolation algorithm. This dynamic model is based on the first principles of the Quadrotor: Propeller model and its force as well as moments generation. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Reduced-rank technique for joint channel estimation in TD-SCDMA systems.
Published 2013“…We exploit the rank deficient of H to reduce the number of parameters that characterizes this matrix. The adopted reduced rank technique is based on singular value decomposition algorithm. …”
Get full text
Get full text
Article -
10
Modelling of intelligent intrusion detection system: making a case for snort
Published 2018“…This MLFNN with BP algorithm was simulated using MATLAB software. The performance of this classifier was evaluated based on three parameters: accuracy, sensitivity, and False Positive Rate (FPR). …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
11
The largest studentized residual test for bad data identification in state estimation of a power system
Published 2015“…The chi-square and normalized residual tests are the common post estimation procedures usually used for detection and identification of gross errors in the estimation algorithm. …”
Get full text
Get full text
Article -
12
Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
Get full text
Get full text
Thesis -
13
Vision-based autonomous vehicle driving control system
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
Get full text
Get full text
Thesis -
14
Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image
Published 2016“…Spectral index of NDCCI and NDMCI found to be effective in providing roof degradation status map in effective time-manner and parameter-free algorithm compared to normal supervised classification scheme. …”
Get full text
Get full text
Thesis -
15
Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine
Published 2022“…The faulty and non-faulty data were balanced, smoothed, corrected and normalized. …”
Get full text
Get full text
Article -
16
Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine
Published 2022“…The faulty and non-faulty data were balanced, smoothed, corrected and normalized. …”
Get full text
Get full text
Article -
17
Robust estimation methods for fixed effect panel data model having block-concentrated outliers
Published 2019“…The Ordinary Least Squares (OLS) is the commonly used method to estimate the parameters of fixed effect panel data model. …”
Get full text
Get full text
Thesis -
18
Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
Published 2016“…Multi rockfall scenarios were produced based on a range of mechanical parameters values. …”
Get full text
Get full text
Thesis -
19
Machine condition monitoring and fault diagnosis using spectral analysis techniques
Published 2001“…Both normal and fault signals are analyzed using the singular value decomposition (SVD) algorithm so as to compute the parameters of the auto regressive moving average (ARMA) models. …”
Get full text
Get full text
Proceeding Paper -
20
