Search Results - (( evolution optimization svm algorithm ) OR ( motion optimization sensor algorithm ))
Search alternatives:
- evolution optimization »
- motion optimization »
- optimization sensor »
- optimization svm »
- sensor algorithm »
- svm algorithm »
-
1
Investigation of the optimal sensor location and classifier for human motion classification
Published 2022“…However, the optimal location of sensor placement on the body to record the motion in daily activities has not been well understood. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
ANALYZING ACCELEROMETER AND GYRO SENSOR DATA FOR ACCURATE TURNING MOTION
Published 2019“…The application of IMU sensor with Madgwick algorithm for sensor data enable the use of this sensor with low computational load involved able to achieve real-time functionality for autonomous vehicle locomotion.…”
Get full text
Get full text
Final Year Project -
3
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
Get full text
Get full text
Article -
4
Design and optimization of motion control for autonomous scrubber robot
Published 2024Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
5
A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
Get full text
Get full text
Thesis -
6
A multi-objective parametric algorithm for sensor-based navigation in uncharted terrains
Published 2023“…Sensor-based motion planning is one the most challenging tasks in robotics where various approaches and algorithms have been proposed to achieve different planning goals. …”
Article -
7
Wavelet-based pre-filtering for low cost inertial sensors
Published 2010“…Wavelet Multi-Resolution Algorithm (WMRA) is utilized to improve the performance of the inertial sensors by removing their short term noise. …”
Get full text
Get full text
Get full text
Article -
8
Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
Get full text
Get full text
Article -
9
Design, optimization and fabrication of a climbing six articulated-wheeled robot using artificial evolution and 3D printing
Published 2015“…The Pareto optimal set of solutions are the smallest SAWR with least climbing ability to biggest SAWR with the best climbing motion. …”
Get full text
Get full text
Get full text
Get full text
Article -
10
Classification with degree of importance of attributes for stock market data mining
Published 2004“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
Get full text
Get full text
Article -
11
Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation
Published 2017“…The present algorithm exhibits attractive features such as high optimality, high stability, low running cost and zero failure rates. …”
Get full text
Get full text
Get full text
Thesis -
12
Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
Get full text
Get full text
Get full text
Article -
13
Automatic design, optimization and In-Situ Fabrication of Heterogeneous Swarm Robot bodies using 3-D printing and multi-objective evolutionary algorithms
Published 2012“…In this research, an artificial evolution approach utilizing Single-Objective Evolutionary Algorithm (SOEA) and Multi-Objective Evolutionary Algorithm (MOEA) respectively are investigated in the automatic design and optimization of the morphology of a Six Articulated-Wheeled Robot (SAWR) with climbing ability. …”
Get full text
Get full text
Research Report -
14
-
15
Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
Published 2019“…In another hand, the movement accuracy analysis of the hand robot motion range was performed by comparing the expected motion range and the motion range achieved by 3D printed hand robot. …”
Get full text
Get full text
Thesis -
16
Error driven Fuzzy Logic Controller (FLC) for spherical mobile robot: simulation & experimental performance analysis
Published 2022“…The challenge for spherical mobile robot falls within control algorithm aspects, where it is nonlinear and highly under-actuated increases the difficulties to control its motion. …”
Get full text
Get full text
Proceeding Paper -
17
PID-PSO DC motor position controller design for ankle rehabilitation system
Published 2023“…This rotary encoder sensor device converts rotary motion into electrical signals or pulse signals to count per revolution of the gearbox output shaft. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
18
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These robots are commonly operated using knobs, joysticks or wearable motion sensors. These modes of operation either require a skilled operator or hinder the natural movement. …”
Get full text
Get full text
Thesis -
19
Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
Get full text
Get full text
Book Section -
20
Force and impedance control for hydraulically driven hexapod robot walking on uneven terrain
Published 2012“…This made this area of research still far from demonstrating the scientific solutions, which is more towards developing and optimizing the algorithm, control technique and software engineering for practical locomotion (flexibility and reliability). …”
Get full text
Get full text
Thesis
