Search Results - (( based contracting method algorithm ) OR ( basic selection method algorithm ))
Search alternatives:
- contracting method »
- based contracting »
- method algorithm »
- selection method »
- basic selection »
-
1
Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…All in all, this study aims to design, develop, optimize and test the method of pain assessment using the EEG signal during the active contraction phase of the first stage of labour. …”
Get full text
Get full text
Get full text
Thesis -
2
Development of optimization Alghorithm for uncertain non-linear dynamical system
Published 2004“…The new algorithms also boast faster contractions. Both new algorithms performed better than DISOPE. …”
Get full text
Get full text
Monograph -
3
Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
Published 2025“…To increase security, we perform secure authentication by creating an effective methodology based on the Touch Well before Use (TWU) method which protects against attacks. …”
Article -
4
-
5
-
6
An ensemble feature selection method to detect web spam
Published 2018“…In addition, it improves classification metrics in comparison to basic feature selection methods.…”
Get full text
Get full text
Get full text
Article -
7
Hysteresis Modelling of Pneumatic Artificial Muscle using General Cubic Equation and Factor Theorem Prediction Method / Mohd Azuwan Mat Dzahir...[et al.]
Published 2017“…The methodology used to establish the hysteresis modelling and prediction method of the pneumatic artificial muscle are as follows; first is the characterization of the pneumatic artificial muscle at different loads and pressures; second is to develop a prediction method for generating constraint models of hysteresis data at a different loads using general cubic equation and factor theorem; third is to establish a simple theorem or algorithm to extract the hysteresis models (i.e., contraction and expansion) of a pneumatic artificial muscle at different loads based on the generated constraint models; and the final stage of the research is to obtain the hysteresis models at different loads. …”
Get full text
Get full text
Article -
8
Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
Published 2010“…This thesis proposes methods that can overcome the problems of good behaviour selection and good behaviour deletion. …”
Get full text
Get full text
Thesis -
9
Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
10
Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction
Published 2021“…To achieve this aim: First, A new feature selection method for TDC, that is, binary multi-verse optimizer algorithm (BMVO) is proposed to eliminate irrelevantly, redundant features and obtain a new subset of more informative features. …”
Get full text
Get full text
Thesis -
11
-
12
Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…A systematic method for selecting the ANN's input variables was developed using Matlab Programming language.…”
Get full text
Get full text
Thesis -
13
Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
Published 2015“…Artificial Bee Colony (ABC) algorithm is one of the methods used to solve the flowshop scheduling problem but only a few researches have been found using this method in this area. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Robust correlation feature selection based support vector machine approach for high dimensional datasets
Published 2025“…Correlation-based feature selection methods are popular tools used to select the most important variables to include the true model in the analysis of sparse and high-dimensional models. …”
Get full text
Get full text
Get full text
Article -
15
The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan
Published 2023“…This study starts with the collection of data on muscle contraction(mV) and torque (Nm) based on six healthy subjects doing isokinetic knee extension. …”
Get full text
Get full text
Get full text
Thesis -
16
Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…Finally, the BP algorithm has been prove as a method that can be used for recognizing hand gesture for sign language and the successful task of recognition also dependent an the hnage processing. …”
Get full text
Thesis -
17
Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. …”
Get full text
Get full text
Thesis -
18
A phonetically rich and balanced lexical corpus using zipfian distribution for an under resourced language / Aminath Farshana
Published 2018“…The performance of the proposed method was also evaluated by comparing the results with an existing benchmark method (greedy algorithm). …”
Get full text
Get full text
Get full text
Thesis -
19
-
20
IFS on the multi-fuzzy fractal space.
Published 2009“…This theorem is the fundamental result on which the IFS methods are based and the fractals are built. The defined mappings are proved to satisfy some generalizations of the contraction condition.…”
Get full text
Get full text
Article
