Search Results - (( ability estimation using algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- ability estimation »
- implication based »
- java implication »
- using algorithm »
-
1
Sensorless control system for assistive robotic ankle-foot
Published 2018“…Both estimation algorithms are built using C-code and assessed in MATLAB Simulink. …”
Get full text
Get full text
Article -
2
Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin.
Published 2004“…A new Evolutionary programming (EP) based acceleration search algorithm was developed to accelerate the process in estimating maximum load ability in a power system. …”
Get full text
Get full text
Thesis -
3
Multiple equations model selection algorithm with iterative estimation method
Published 2016“…There have been various procedures suggested to date, whether through manual or automated selections, to choose the best model.This study nonetheless focuses on an automated selection for multiple equations model with the use of iterative estimation method. In particular, an algorithm on model selection for seemingly unrelated regression equations model using iterative feasible generalized least squares estimation method is proposed. …”
Get full text
Get full text
Get full text
Article -
4
Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot
Published 2019“…Position estimation system using inertial sensor poses a critical challenge to deliver accurate positioning information. …”
Get full text
Thesis -
5
Assist-as-needed control strategy for upper-limb rehabilitation based on subject’s functional ability
Published 2019“…Results showed that the proposed functional ability index algorithm can estimate patients’ functional ability level consistently with clinical procedure and can modify generated robotic assistance in accordance with patients’ functional movement ability.…”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
6
Kalman filter for tracking a noisy cosinusoidal signal with constant amplitude
Published 2023“…The Kalman filter is utilized as the core algorithm for state estimation, leveraging its ability to combine noisy measurements and a dynamic model to provide optimal estimates. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
7
Single-agent finite impulse response optimizer for numerical optimization problems
Published 2018“…This proposed algorithm is inspired by the estimation ability of the ultimate iterative unbiased finite impulse response (UFIR) filter. …”
Get full text
Get full text
Get full text
Article -
8
A new robust computational approach for the electric power system parameters
Published 2017“…The state estimation (SE) is a fundamental data processing algorithm used by the control centers of modern power networks. …”
Get full text
Get full text
Article -
9
Estimation of Examinees' Ability Through Computer Adaptive Testing Based on Neural Network Approach
Published 2010“…In the second phase, estimation of examinees’ ability has been obtained with multi-layer feed forward neural network with back propagation algorithm. …”
Get full text
Get full text
Thesis -
10
Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system
Published 2006“…At the next stage of the project, the effect of channel estimation algorithm on performance of MIMO-OFDM system was investigated. …”
Get full text
Get full text
Thesis -
11
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…These algorithms are inspired by the estimation capability of the well-known Kalman filter estimation method. …”
Get full text
Get full text
Thesis -
12
-
13
An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli
Published 2020“…In this study, an Enhanced Segment Particle Swarm Optimization algorithm (ESe-PSO) was proposed for kinetic parameters estimation. …”
Get full text
Get full text
Get full text
Article -
14
Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm
Published 2017“…This ability, however, needs algorithm has become more complex and requires high computational ability due to the demand for high accuracy, real time implementations and multi-tasking requirements. …”
Get full text
Get full text
Conference or Workshop Item -
15
-
16
Estimation of small-scale kinetic parameters of escherichia coli (E. coli) model by enhanced segment particle swarm optimization algorithm ese-pso
Published 2023“…As an alternative to the state-of-the-art algorithm, this adjustment improves estimation accuracy. …”
Get full text
Get full text
Get full text
Article -
17
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2014“…The model of Immune Network Algorithm used in this study is aiNet. The training process in aiNet is partly inspired by clonal selection principle and the other part uses antibody interactions for removing redundancy and finding data patterns. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
18
Reconstruction Algorithm In Ofdm System
Published 2017“…Consequently, various widely used compressive sensing reconstruction algorithm such as: Orthogonal Matching Pursuit (OMP), Compressed Sensing Matching Pursuit (CoSaMP), and Subspace Pursuit (SP) will be evaluated to test their efficacy sparse estimation performances in OFDM system.…”
Get full text
Get full text
Monograph -
19
Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
Published 2024“…In this project, we want to create an age identification system that uses Convolutional Neural Network (CNN) algorithms to estimate people's ages fast and accurately from facial images. …”
Get full text
Get full text
Thesis -
20
Cubature kalman optimizer : A novel metaheuristic algorithm for solving numerical optimization problems
Published 2023“…In control system, the CKF algorithm is used to estimate the true value of a hidden quantity from an observation signal that contain an uncertainty. …”
Get full text
Get full text
Get full text
Article
