Search Results - (( using classification problems algorithm ) OR ( basic navigation using algorithm ))
Search alternatives:
- using classification »
- basic navigation »
- navigation using »
- using algorithm »
- problems »
-
1
Implementation of an autonomous mobile robot navigation algorithm using C language
Published 2009“…This report basically discusses the study and also work that has been done from previous of the chosen topic, which is Implementation of an Autonomous Mobile Robot Navigation Algorithm using 'C' language. …”
Get full text
Get full text
Final Year Project -
2
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Algorithms are developed for a simulated mobile robot that uses an array of range finders for navigation. …”
Get full text
Get full text
Monograph -
3
MAZE ROBOT: APPLYING AUTONOMOUS VEHICLE NAVIGATION ALGORITHM WITH EVENT-DRIVEN PROGRAMMING
Published 2011“…Hardware and software co-design method is used to construct the mobile robot. The basic navigation algorithm was developed using finite state machine (FSM). …”
Get full text
Get full text
Final Year Project -
4
Mobile robot navigation using GPS to solve target location achieving problem / Saiful Zaimy Yahaya, Rozan Boudville and Mohamad Faizal Abdul Rahman
Published 2010“…This research proposed mobile robot navigation using GPS to cope for the navigation problem in reaching the target location. …”
Get full text
Get full text
Research Reports -
5
Dengue classification system using clonal selection algorithm / Karimah Mohd
Published 2012“…This project can be improved by making a comparative study on Artificial Immune System and other techniques or algorithms used to solve dengue classification problems.…”
Get full text
Get full text
Thesis -
6
Aiding Low Cost Inertial Navigation With Building Heading For Pedestrian Navigation
Published 2024Article -
7
A review of navigation systems (integration and algorithms)
Published 2009Get full text
Get full text
Get full text
Article -
8
An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…This paper addresses the classification problem in machine learning focusing on predicting class labels for datasets with continuous features. …”
Get full text
Get full text
Get full text
Article -
9
An improve unsupervised discretization using optimization algorithms for classification problems
Published 2024“…This paper addresses the classification problem in machine learning, focusing on predicting class labels for datasets with continuous features. …”
Get full text
Get full text
Get full text
Article -
10
Design and development of autonomous omni-directional mobile robot with mecanum wheel
Published 2008“…Motor driver and robot controller were also developed. Motion control algorithm using BasicStamp Editor software was developed to test the capabilities of the system’s mobility performance. …”
Get full text
Thesis -
11
Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd
Published 2022“…One of the most powerful machine learning methods to handle classification problems is the decision tree. There are various decision tree algorithms, but the most commonly used are Iterative Dichotomiser 3 (ID3), CART, and C4.5. …”
Get full text
Get full text
Thesis -
12
A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Published 2013“…Classification rule induction is one of the problems solved by the Ant-miner algorithm, a variant of ACO, which was initiated by Parpinelli in 2001. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
13
Exploratory Study on Navigation System for Visually Impaired Person
Published 2013Get full text
Get full text
Article -
14
Formulating new enhanced pattern classification algorithms based on ACO-SVM
Published 2013“…ACO originally deals with discrete optimization problem.In applying ACO for solving SVM model selection problem which are continuous variables, there is a need to discretize the continuously value into discrete values.This discretization process would result in loss of some information and hence affects the classification accuracy and seeking time.In this algorithm we propose to solve SVM model selection problem using IACOR without the need to discretize continuous value for SVM.The second algorithm aims to simultaneously solve SVM model selection problem and selects a small number of features.SVM model selection and selection of suitable and small number of feature subsets must occur simultaneously because error produced from the feature subset selection phase will affect the values of SVM model selection and result in low classification accuracy.In this second algorithm we propose the use of IACOMV to simultaneously solve SVM model selection problem and features subset selection.Ten benchmark datasets were used to evaluate the proposed algorithms.Results showed that the proposed algorithms can enhance the classification accuracy with small size of features subset.…”
Get full text
Get full text
Get full text
Article -
15
Mobile Robot with Navigation Control and Communication
Published 2016“…Mobile Robot with Navigation Control and Communication is basically about a mobile robot where a list of instructions is needed to control the locomotion of the robot. …”
Get full text
Get full text
Final Year Project -
16
Classification for large number of variables with two imbalanced groups
Published 2020“…Several approaches have been devoted to study such problems using linear and non-linear classification rules, but limited to group imbalance rather than the combination of both problems. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
17
Overview of metaheuristic: classification of population and trajectory
Published 2010“…Algorithms are used to find the solutions through the computer program. …”
Get full text
Get full text
Monograph -
18
An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
19
Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
Published 2018“…Expectation maximization (EM) is one of the representatives clustering algorithms which have broadly applied in solving classification problems by improving the density of data using the probability density function. …”
Get full text
Get full text
Get full text
Article -
20
Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…Decision tree is an important method in data mining to solve the classification problems. There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
Get full text
Get full text
Get full text
Article
