Search Results - (( developing learning efficient algorithm ) OR ( java evaluation case algorithm ))
Search alternatives:
- java evaluation »
- evaluation case »
- case algorithm »
- efficient »
-
1
Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…To help engineers select the best metaheuristic algorithms for their problems, there is a need to evaluate the performance of different metaheuristic algorithms against each other using common case studies. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
Computationally efficient sequential learning algorithms for direct link resource-allocating networks
Published 2005“…Computationally efficient sequential learning algorithms are developed for direct-link resource-allocating networks (DRANs). …”
Get full text
Get full text
Article -
3
An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Software testing is one of the most critical phases in the software development life cycle model (SDLC), where the quality of a software product is evaluated. Test case prioritization (TCP) is used to prioritize and schedule test case execution to conduct higher-priority test cases to optimize the software testing process. …”
Get full text
Get full text
Get full text
Article -
4
Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…Overall, the VR products developed have proven to be practical and effective in learning programming algorithms. …”
Get full text
Get full text
Get full text
Article -
5
A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency
Published 2024“…The algorithm was developed by calibrating the AQUACROP model using data from actual durian plantations where rain-fed irrigation (rain-fed) was practised. …”
Get full text
Get full text
Get full text
Article -
7
Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
Published 2022“…Most of the currently existing intrusion detection systems (IDS) use machine learning algorithms to detect network intrusion. Machine learning algorithms have widely been adopted recently to enhance the performance of IDSs. …”
Get full text
Get full text
Thesis -
8
-
9
Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022Get full text
Get full text
Final Year Project / Dissertation / Thesis -
10
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
Get full text
Get full text
Get full text
Article -
11
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
Get full text
Get full text
Get full text
Article -
12
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
Get full text
Get full text
Get full text
Article -
13
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
Get full text
Get full text
Get full text
Article -
14
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
Get full text
Get full text
Get full text
Article -
15
Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
16
Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
Published 2007“…One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. …”
Get full text
Get full text
Get full text
Article -
17
Machine learning algorithms in context of intrusion detection
Published 2016“…These machine learning algorithms develop a detection model in a training phase. …”
Get full text
Get full text
Conference or Workshop Item -
18
Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)
Published 2026“…Upon converting PE files to images, the deep learning pixel-matching algorithm identifies obscured malware features. …”
thesis::doctoral thesis -
20
Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…An efficient iterative algorithm is developed to optimize the objective function of the proposed algorithm since it is non-smooth and difficult to solve. …”
Get full text
Get full text
Get full text
Thesis
