Search Results - (( learning implementation level algorithm ) OR ( java optimization techniques algorithm ))
Search alternatives:
- optimization techniques »
- implementation level »
- java optimization »
- level algorithm »
-
1
-
2
-
3
Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
Get full text
Get full text
Thesis -
4
Hybrid genetic algorithm for improving fault localization
Published 2018“…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
Get full text
Get full text
Get full text
Article -
5
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
6
Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Thesis -
7
Scalable approach for mining association rules from structured XML data
Published 2009Get full text
Get full text
Conference or Workshop Item -
8
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
Get full text
Get full text
Thesis -
9
Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
10
E4ML: Educational Tool for Machine Learning
Published 2003“…There are various types of machine learning algorithms with certain processes taken by the algorithm.In teaching of the machine learning algorithms, such processes need to be explained especially to the beginner in introductory level.This paper discusses the development the tool that addresses the process by certain algorithm to produce a hypothesis or output based on given data.This tool can also be used in teaching and learning purposes.The explanation of processes by the algorithms is demonstrated through simple simulation.The source of the algorithms was adapted from Mitchell book [1] that cover popular algorithms in machine learning for teaching and learning such as Concept Learning, Decision Tree, Bayesian Learning, Neural Networks, and Instance based Learning.The tool also used several classes of Weka (Waikato Environment for Knowledge Analysis) as a basis for the design and implementation of the new tool that focuses on explaining the processes taken by certain algorithm.…”
Get full text
Get full text
Conference or Workshop Item -
11
Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
12
IMPLEMENTATION OF IMAGE TEXTURE ANALYSIS USING GRAY LEVEL RUN LENGTH APPROACH
Published 2006“…The objective of this project is to develop algorithms inMATLAB and be able to implement image texture analysis by using the developed algorithms. …”
Get full text
Get full text
Final Year Project -
13
-
14
An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Therefore, numerous factors and techniques have been used to optimize the prioritization process. …”
Get full text
Get full text
Get full text
Article -
15
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…Recently, deep learning methods have significantly sharpened the cutting edge of learning algorithms in a wide range of artificial intelligence tasks. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview
Published 2019“…Deep learning provides the mechanism to RL which enables the agent to solve the human level task. …”
Get full text
Get full text
Conference or Workshop Item -
17
Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview
Published 2019“…Deep learning provides the mechanism to RL which enables the agent to solve the human level task. …”
Get full text
Get full text
Conference or Workshop Item -
18
EEG-based emotion recognition using machine learning algorithms
Published 2024“…Thus, this project proposed an optimised machine learning algorithms to classify emotion by analysing brain activity using Electroencephalogram (EEG) signals. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
Jogging activity recognition using k-NN algorithm
Published 2022“…The k-NN algorithm is a simple and easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. …”
Get full text
Get full text
Get full text
Academic Exercise -
20
