Search Results - (( developing adverse detection algorithm ) OR ( java implication based algorithm ))
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
Published 2024“…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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Development of automatic pest sampling and detection system for cash crops
Published 2019“…Connected components algorithm was implemented for insect detection and counting. …”
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A preliminary lightweight random forest approach-based image classification for plant disease detection
Published 2022“…The production can be adversely affected if plant disease problems cannot be detected in the early stage. …”
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DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION
Published 2018“…Therefore, the main objective of the project is to develop an OE-based Brown-Forsythe test algorithm to effectively detect the presence of control valve stiction.In this study, the proposed OE model is developed using System Identification in MATLAB, where it is used to simulate the process output (PV). …”
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Final Year Project Report / IMRAD -
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All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]
Published 2014“…Values obtained from this algorithm are used in peer reviews to verify the validity of reporter’s conclusion regarding ADRs. …”
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Book Section -
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A review of automatic driving target detection based on camera and millimeter wave radar fusion technology
Published 2025“…Future research should focus on developing comprehensive multimodal datasets, 4D millimeter-wave radar, and refining fusion algorithms for robustness in diverse environments. …”
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Article -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Improved rate of faults detection can give developers chance to debug the faulty software earlier. …”
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The added infeed current penetration from integrated RERs impacted adversely on the existing protective relay operation setting compromise. …”
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