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1
Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
2
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique contains three approaches; first approach is string encryption. The string encryption is about adding a mathematical equation with arrays and loops to the strings in the code to hide the meaning. …”
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Thesis -
3
Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC
Published 2021“…The design combined symmetric key encryption (AES) for the message encryption with the asymmetric key encryption (ECC). …”
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Thesis -
4
A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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5
Computing the autopilot control algorithm using predictive functional control for unstable model
Published 2009“…This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. …”
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6
Challenges of hidden data in the unused area two within executable files
Published 2009“…Results: The programs were coded in Java computer language and implemented on Pentium PC. …”
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Article -
7
Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
Published 2016“…Recently, THF-NLFXLMS algorithm was developed to compensate the nonlinearity encountered in nonlinear active noise control systems. …”
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8
A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model
Published 2025“…The accurate prediction and characterization of small open reading frames (smORFs) are critical for understanding their functional roles in gene regulation and cellular processes. …”
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Thesis -
9
New Instances Classification Framework On Quran Ontology Applied To Question Answering System
Published 2019“…This algorithm is chosen since it robustness to noisy data and has an excellent achievement to handle small dataset. …”
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Article -
10
Development of symbolic algorithms for certain algebraic processes
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Monograph -
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Development of symbolic algorithms for certain algebraic processes
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Monograph -
12
Clonal selection algorithm for the cryptanalysis of a simple substitution cipher
Published 2006“…The algorithm is based on the Clonalg algorithm developed by de Castro and Von Zuben. …”
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13
Developing a small footprint and low-cost solar charge controller
Published 2025“…Then, a board layout was developed with a small footprint with a size of 63.5mm x 57mm. …”
Conference paper -
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Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE)
Published 2015“…Then apply the MODE-based algorithm to optimize the weighting function of the control problem formulation for optimal performance. …”
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Article -
15
Inventory tracker with estimation
Published 2024“…To address this challenge, the "Inventory Tracking and Estimating" project proposes the development of a user-friendly mobile application designed to simplify inventory management for small businesses. …”
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Final Year Project / Dissertation / Thesis -
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Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…Besides that, IBA was found comparable with existing variants of BA such as the IBA developed from the previous researcher in the year 2013 and the Hybrid Self-Adaptive Bat Algorithm (HSABA) developed in the year 2014. …”
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Thesis -
17
Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…In this thesis, a new quaternion gradient based adaptive algorithm for FIR adaptive filter is developed. The proposed algorithm is capable of processing the generality of quaternion and complex data signals in both noisy and noise-free environments. …”
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Thesis -
18
A Stepper Motor Design Optimization Using
Published 2005“…There is a need to fill this void in the area of small-motor design, and develop a program using Genetic Algorithms (GAs) as an approach to achieve optimization. …”
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Monograph -
19
Optimizing high-density aquaculture rotifer Detection using deep learning algorithm
Published 2022“…First, dataset acquisition from digital microscope and manual labelling annotation divided by 60, 20 and 20 percent for training, validation and testing consecutively. Second, is to develop the deep learning algorithm based on YOLOv3. …”
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Proceedings -
20
Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)
Published 2013“…Fuzzy rules are important elements that being highlighted in any fuzzy expert system.This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the performance of the financial performance of a company under a multi criteria environment.There are a lot of techniques used such as fuzzy similarity function, fuzzy synthetic decision and satisfaction function have been adopted.The framework is based on fuzzy multi-criteria decision-making that consists of fuzzy rules.The use of fuzzy rules, which were extracted directly from input data through Weighted Subsethood-based (WSBA) Rule Generation Algorithm.WSBA rule generation use the subsethood values to generate the weights which finally produced the fuzzy general rules.The rules generated through the data provided knowledge in developed fuzzy rule The fuzzy rules embedded in the framework of subjective evaluation method showed advantages in generalizing the evaluation of the performance achievement, where the evaluation process can be conducted consistently in producing good evaluation results with the use of the membership set score.The results from the numerical examples are comparable to other fuzzy evaluation methods, even with the use of small rule size.…”
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Conference or Workshop Item
