Search Results - (( parallel optimization sensor algorithm ) OR ( using normalization techniques algorithm ))
Search alternatives:
- normalization techniques »
- parallel optimization »
- optimization sensor »
- sensor algorithm »
-
1
Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. …”
Get full text
Get full text
Get full text
Article -
2
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
Get full text
Get full text
Thesis -
3
Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
Get full text
Get full text
Get full text
Thesis -
4
Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
Published 2016Get full text
Get full text
Conference or Workshop Item -
5
JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation
Published 2008“…This novel algorithm applies coefficients scrambling using Combined-Reverse-and-Normal-Direction (CRND) scanning together with Distorted DC permutation (DDP). …”
Get full text
Get full text
Thesis -
6
Improved normalization and standardization techniques for higher purity in K-means clustering
Published 2016“…Based on its simplicity, the K-means algorithm has been used in many fields. This paper proposes improved normalization and standardization techniques for higher purity in K-means clustering experimented with benchmark datasets from UCI machine learning repository and it was found that all the proposed techniques’ performance was much higher compared to the conventional K-means and the three classic transformations, and it is evidently shown by purity and Rand index accuracy results.…”
Get full text
Get full text
Get full text
Article -
7
An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms
Published 2015“…It is concluded that the resultant hybrid techniques can perform well if the variables provided to normalization by neighborhood model (MF and CF) do not have big differences in order for the hybrid normalization model to outperform every algorithm in comparison.…”
Get full text
Get full text
Thesis -
8
An alternative approach to normal parameter reduction algorithms for decision making using a soft set theory / Sani Danjuma
Published 2017“…In addition, the algorithm was relatively easy to understand compare to the state of the art of normal parameter reduction algorithm. …”
Get full text
Get full text
Get full text
Thesis -
9
Design and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly / Mustaqim Mohd Subri
Published 2013“…Traditionally, “overlap-layoutconsensus” technique is used for DNA fragment assembly, but this technique has a problem in assembling a long sequence of DNA which a new technique needs to be used to overcome this problem. …”
Get full text
Get full text
Student Project -
10
The Impact of Normalization Techniques on Performance Backpropagation Networks
Published 2004“…This study explored several normalization techniques using backpropagation learning. …”
Get full text
Get full text
Get full text
Thesis -
11
Text normalization algorithm for facebook chats in Hausa language
Published 2014“…It was found that our proposed algorithm was able to normalized Hausa NSWs with an accuracy of 100%. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
12
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…Another possibility is to apply a bootstrap technique which does not rely on the normality assumption. …”
Get full text
Get full text
Thesis -
13
Taguchi?s T-method with Normalization-Based Binary Bat Algorithm
Published 2025“…Therefore, a variable selection technique using a swarm-based Binary Bat algorithm is proposed. …”
Conference paper -
14
-
15
Online handwritten signature recognition by length normalization using up-sampling and down-sampling
Published 2015“…In this paper, we introduce an efficient algorithm for online signature length normalization by using Up-Sampling and Down-Sampling techniques. …”
Get full text
Get full text
Article -
16
Weather prediction in Kota Kinabalu using linear regressions with multiple variables
Published 2021“…The root mean square error is used to compare the performance of the algorithms. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
17
A new method for intermediate power point tracking for PV generator under partially shaded conditions in hybrid system
Published 2018“…This technique is based on the combination of two algorithms, the particle swarm optimization algorithm for tracking the global maximum power point, while a newly developed algorithm is used for attaining any other supervisory control set point. …”
Get full text
Get full text
Article -
18
-
19
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
Get full text
Get full text
Thesis -
20
Artificial neural network-salp-swarm algorithm for stock price prediction
Published 2024“…Before training, the dataset is normalized using the min-max normalization technique to reduce the influence of noise. …”
Get full text
Get full text
Get full text
Article
