Search Results - (( developing learning during algorithm ) OR ( java application during algorithm ))
Search alternatives:
- application during »
- during algorithm »
- java application »
- learning during »
-
1
Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The project objectives includes:(i) To investigate lightweight message encryption algorithms by benchmarking their efficiency in terms of computation speed and generated cipher text size; (ii) To design and develop the TalkOut mobile application with lightweight message encryption by using prototype software development model.; and (iii) To evaluate the usability performance of the developed proposed TalkOut mobile application using System Usability Scale (SUS) approach. …”
Get full text
Get full text
Get full text
Academic Exercise -
2
A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
Get full text
Get full text
Get full text
Thesis -
3
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
Get full text
Get full text
Thesis -
4
Evaluation of optimal MLP structure for heart disease diagnosis / Salbiah Ab Hamid
Published 2010“…The weight of each value in hidden layers will be considered during the learning process. LM algorithm is used to minimize the error during training and testing process. …”
Get full text
Get full text
Thesis -
5
Machine learning: tasks, modern day applications and challenges
Published 2019“…Machine learning algorithms learned from available data. Further, this learning laid the foundation to develop AI for the various systems around us. …”
Get full text
Get full text
Get full text
Article -
6
SUDOKU HELPER
Published 2015“…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
Get full text
Get full text
Final Year Project -
7
Early detection of dengue disease using extreme learning machine
Published 2018Get full text
Get full text
Article -
8
Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…In this paper, object detection model is developed and implemented with deep learning algorithm. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
9
A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…This study proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. The research is divided into three parts, which are (1) dataset development, (2) algorithm development, and (3) algorithm performance evaluation. …”
Article -
10
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
Get full text
Get full text
Thesis -
11
Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar...
Published 2022“…The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
Get full text
Get full text
Get full text
Book Section -
12
Integrating finance dictionary in lexicon-based approach with machine learning algorithm to analyse the impact of OPEC news sentiment on financial market / Wu Ling
Published 2020“…Since last few decades, machine learning algorithm which trains computers to learn from experience, is one of the most rapidly developing techniques which settles in the intersection research field of statistics and computer science. …”
Get full text
Get full text
Get full text
Thesis -
13
-
14
Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…This reason motivated the researchers to exploit the evolution of machine learning to develop water level forecasting systems that were characterized by accuracy, simplicity and low cost. …”
Get full text
Get full text
Thesis -
15
Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin
Published 2014“…Bat algorithm is an optimizer tool and developed using of echolocation characteristics of bats, while the neural network is learning methods that approach the human brain using artificial neurons. …”
Get full text
Get full text
Article -
16
A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
Published 2015“…The idea of developing FAM-OELM is motivated by the ELM concept proposed by Huang et al., for being an efficient learning algorithm that provides better generalization performance at a much faster learning speed. …”
Get full text
Get full text
Article -
17
Hybrid bat algorithm hybrid-artificial neural network for modeling operating photovoltaic module temperature / Noor Rasyidah Hussin
Published 2014“…Bat algorithm is an optimizer tool and developed using of echolocation characteristics of bats, while the neural network is learning methods that approach the human brain using artificial neurons. …”
Get full text
Get full text
Thesis -
18
Detection on ambiguous software requirements specification written in malay using machine learning
Published 2017“…Software requirement specification (SRS) document is the most crucial document in software development process. SRS is normally produced during the initial part of software development process and all subsequent steps in software development are influenced by the requirements. …”
Get full text
Get full text
Get full text
Thesis -
19
Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…These are the popular algorithm for unsupervised learning, a machine learning method to analyse and cluster datasets. …”
Get full text
Get full text
Undergraduates Project Papers -
20
A comparative analysis of machine learning algorithms for diabetes prediction
Published 2024“…During the DD2019 experiment, the RF and SVM algorithms demonstrated the highest levels of accuracy, achieving 96.65% and 93.93%, respectively. …”
Get full text
Get full text
Get full text
Article
