Search Results - (( data replication testing algorithm ) OR ( variable detection path algorithm ))
Search alternatives:
- replication testing »
- variable detection »
- testing algorithm »
- detection path »
- path algorithm »
-
1
A novel deadlock detection algorithm for neighbour replication on grid environment
Published 2012“…The aim of this research is to handle the deadlock problem in NRG to preserve the consistency of data and increase the throughput. The NRGDD simulation model has been developed to test the algorithm on NRG. …”
Get full text
Get full text
Thesis -
2
IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017“…Selected basic behaviour-based algorithms such as wallfollower, obstacle avoidance, escape route and target detection are to be combined and its efficiency is measured. …”
Get full text
Get full text
Final Year Project -
3
Exploration of machine learning forecasting methods in M4 competition / Muhammad Halim Hamdan and Shuzlina Abdul-Rahman
Published 2021“…Each technique was replicated, trained and tested accordingly. M4 competition dataset was used in this research, with 100,000 time series data and multiple data frequency, which is enough to replicate the real-world situation. …”
Get full text
Get full text
Get full text
Article -
4
A real-time integrated fire detection and alarm (FDA) system for network based building automation
Published 2017“…Methods/Analysis: In this work, the shortest path algorithm was chosen for series of buildings connected by a fiber-optic network. …”
Get full text
Get full text
Get full text
Article -
5
LED based NIR spectroscopy for detection of lard adulteration in palm oil via chemometrics / Katrul Nadia Basri
Published 2017“…In order to remove the uninformative variables, cumulative adaptive reweighted sampling (CARS) has been performed. …”
Get full text
Get full text
Thesis -
6
Finite element modeling and updating for dynamic study of exhaust structure
Published 2020“…Hence, this paper is carried out to reduce the discrepancies between numerical prediction results with measured test data on FE model of exhaust structure by implementing FE model updating using SOL200 algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
7
Classification and quantification of palm oil adulteration via portable NIR spectroscopy
Published 2017“…In order to remove the uninformative variables, variable selection using cumulative adaptive reweighted sampling (CARS) has been performed. …”
Get full text
Get full text
Get full text
Article -
8
Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data
Published 2019“…Moreover, the proposed model has achieved the optimal prediction accuracies (92%) on the basis of testing data, thereby indicating that the model can be generalised and replicated in different regions, and the proposed method can be applied to various landslide studies.…”
Get full text
Get full text
Get full text
Article -
9
Classification and quantification of palm oil adulteration via portable NIR spectroscopy
Published 2024“…In order to remove the uninformative variables, variable selection using cumulative adaptive reweighted sampling (CARS) has been performed. …”
Article -
10
A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification
Published 2023“…Additionally, the Wilcoxon rank test was used to perform the significance analysis between the proposed SCSOKNN method and six other algorithms for a p-value less than 5.00E-02. …”
Get full text
Get full text
Article -
11
Enhancing clustering algorithm with initial centroids in tool wear region recognition
Published 2020“…K-means clustering has become the most applied algorithm in discovering classes in an unsupervised scenario. …”
Get full text
Get full text
Get full text
Get full text
Article -
12
Securing IoT networks using machine learning-resistant physical unclonable functions (PUFs) on edge devices
Published 2026“…The NIST statistical test suite was applied to the CRP data of the RO PUF to evaluate its randomness quality. …”
Get full text
Get full text
Get full text
Article -
13
A self-adaptive agent-based simulation modelling framework for dynamic processes
Published 2023“…Case studies for simulating dynamic processes of new student registration (administrative domain), transport request (transportation domain) and crime investigation (security domain) with real data collected through interview and document reviews to test the proposed idea. …”
text::Thesis -
14
Finger-Vein Biometric Identification Using Convolutional Neural Network
Published 2016“…An identification rate of 100.00% is achieved, with an 80/20 percent ratio for separation of training and test samples, respectively. An additional number of subjects have also been tested, in which for 81 subjects an accuracy of 99.38% is achieved.…”
Get full text
Get full text
Get full text
Article -
15
Access control model based on trust, purpose, and role in materialized view for privacy protection
Published 2019“…This study focuses on data privacy protection in materialized view. Materialized view is a replica of a table which is created in a very large system where data are replicated from the master tables. …”
Get full text
Get full text
Thesis -
16
Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model
Published 2025“…In addition, simulated data can overcome the lack of genuine datasets for specific crowd situations. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
17
Medical identity theft in telemedicine: solving the privacy and security issues
Published 2015“…Hence, the proposed algorithm enables quick and excellent detection capability of any modification done to the medical images.…”
Get full text
Get full text
Monograph -
18
Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property
Published 2013“…Datasets of transacted terrace houses over the period 1999-2009 from Selangor, Malaysia were obtained and geocoded for analyses using cadastral and topographic maps and online mapping services. A complete data analysis was carried out on the datasets. Furthermore, various spatial, temporal and spatio-temporal neighbourhood and weighting schemes, optimization algorithms and lag and error modelling scenarios were created and tested with the data. …”
Get full text
Get full text
Thesis -
19
-
20
Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…The proposed BANN model achieved the best training accuracies of (95%) and best prediction accuracies of (92%) based on testing data compared to other employed methods. …”
Get full text
Get full text
Thesis
