Search Results - (( _ application need algorithm ) OR ( (parameter OR parameters) detection method algorithm ))*
Search alternatives:
- application need »
- method algorithm »
- need algorithm »
-
1
-
2
Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…The active contour method (Chan-Vese) was utilized to extract the ROI parameters (hippocampus). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
Get full text
Get full text
Get full text
Thesis -
4
Parameter estimation of multicomponent transient signals using deconvolution and ARMA modelling techniques
Published 2003“…In this method of analysis the exponential signal is converted to a convolution model whose input is a train of weighted delta function that contains the signal parameters to be determined.The resolution of the estimated decay rates is poor if the conventional fast Fourier transform (FFT) algorithm is used to analyse the resulting deconvolved data. …”
Get full text
Get full text
Get full text
Article -
5
Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti
Published 2022“…It is necessary in estimating a logistic need which can help Authorities in distribute their budget projection. …”
Get full text
Get full text
Thesis -
6
Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
7
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
Get full text
Get full text
Thesis -
8
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
Get full text
Get full text
Article -
9
Federated deep learning for automated detection of diabetic retinopathy
Published 2022“…Deep learning is a machine learning algorithm with potential for detecting the significance of DR. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
10
Benthic habitat mapping and coral bleaching detection using quickbird imagery and Kd algorithm
Published 2013“…Half numbers of these points were selected to determine the mentioned parameters using minimizing the sum of the squared residuals, and the other points were used for accuracy assessment of the applied method. …”
Get full text
Get full text
Thesis -
11
Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor
Published 2017“…The simulation results indicate that the proposed method is suitable to detect a single outlier. As for the multiple outliers, a clustering algorithm is considered and a dendogram to visualise the clustering algorithm is used. …”
Get full text
Get full text
Get full text
Thesis -
12
Steganalysis: Detecting Existence of File Types Embedded in Grey Scale Image
Published 2008“…Estimating some parameters of embedding algorithm is the approach that the study used since secret message is one of its essential parameters. …”
Get full text
Get full text
Get full text
Thesis -
13
Nonlinear vibration based modeling for damage detection of reinforced concrete beams / Muhammad Usman Hanif
Published 2018“…Therefore, the structural health monitoring paradigm in civil engineering is in need of an efficient, economical, generally applicable and a realistic global damage detection method. …”
Get full text
Get full text
Get full text
Thesis -
14
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
Get full text
Get full text
Get full text
Article -
15
Application of weighted average on modal parameters for damage detection algorithms: Case study on steel beam
Published 2011“…This study verifies the use of the proposed weighting method by Fayyadh and Abdul Razak (2011a) for damage detection algorithms applied on cracked steel beam. …”
Get full text
Get full text
Get full text
Article -
16
Image segmentation method for boundary detection of breast thermography using random walkers
Published 2013“…In breast thermography diagnostic, proper detection and segmentation of the areola area as well as detection of breast boundaries present the biggest challenge. …”
Get full text
Get full text
Thesis -
17
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
Get full text
Get full text
Final Year Project -
18
Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm
Published 2014“…This study focuses on using GSA method, a new computational intelligence algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
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 -
20
Seismic attribute feasibility study for fault and fracture analysis and integration with spectral decomposition: Application in Sarawak basin
Published 2019“…However, there are some limitations in the performance of these tools, as the algorithms are dependent on the seismic survey parameters, quality of the data and its existing patterns, and geology of the study area. …”
Get full text
Get full text
Conference or Workshop Item
