Search Results - (( development negative perceptions algorithm ) OR ( java application customization algorithm ))
Search alternatives:
- customization algorithm »
- perceptions algorithm »
- development negative »
- negative perceptions »
- java application »
-
1
Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali
Published 2025“…This study explores the application of sentiment analysis using the Naive Bayes algorithm to understand public perceptions of marital issues, particularly factors contributing to the rising divorce rate. …”
Get full text
Get full text
Thesis -
2
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
Get full text
Get full text
Thesis -
3
Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli
Published 2025“…This study applies the Naive Bayes algorithm for sentiment analysis to assess public perceptions of childcare issues, particularly child abandonment and accidents. …”
Get full text
Get full text
Thesis -
4
Risk perception modeling based on physiological and emotional responses / Ding Huizhe
Published 2024“…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
Get full text
Get full text
Get full text
Thesis -
5
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Identification of Key Parameters for Cover Audio Generation in Imperceptible Audio Steganography
Published 2026journal::journal article -
7
Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia
Published 2022“…Conclusion: Using data acquired from FB reviews and machine learning algorithms, a pragmatic and practical strategy for eliciting patient perceptions of service quality and supplementing standard patient satisfaction surveys has been created. …”
Get full text
Get full text
Thesis
