Search Results - (( development financial function algorithm ) OR ( java implication based algorithm ))
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STOCK PREDICTION APP
Published 2022“…To address the issue, a mobile application for time series algorithms-based stock price prediction is developed. …”
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Final Year Project -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…Currently, mobile botnet attacks have shifted from computers to smartphones due to its functionality, ease to exploit, and based on financial intention. …”
Proceedings Paper -
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Development of personal finance mobile application with Optical Character Recognition (OCR) technology for automated receipt management and expense tracking
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Final Year Project / Dissertation / Thesis -
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Uninterruptible power supply topology using single phase matrix converter with active power filter functionality / Muhammad Shawwal Mohamad Rawi
Published 2022“…The distorted supply current waveform due to the non-linear load is compensated through a proper switching algorithm of SPMC to function as an Active Power Filter (APF). …”
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Thesis -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Pairwise test suite generator tool based on harmony search algorithm (HS-PTSGT)
Published 2014“…However, exhaustive testing that required lot of time and financial resources is normally impossible. This thesis is about the research on developing a pairwise test suite generator tool based on Harmony Search Algorithm (HS-PTSGT) to generate optimum test suite. …”
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Undergraduates Project Papers -
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Financial advisory and management system
Published 2025“…This study develops an Android application using Kotlin and Firebase (Firestore) to enhance expense categorization, financial literacy, and goal tracking. …”
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Final Year Project / Dissertation / Thesis -
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Android Mobile Malware Surveillance Exploitation Via Call Logs: Proof of Concept
Published 2024“…Based on the experiment conducted, a new system call classification to exploit call logs for mobile attacks has been developed using Covering Algorithm. This new system call classification can be used as a reference for other researcher in the same field to secure against mobile malware attacks by exploiting call logs. …”
Proceedings Paper -
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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 -
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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Thesis -
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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling
Published 2017“…The study takes Bank Islam Malaysia Berhad‟s (BIMB) financial data to validate the model. The multi-faceted objectives consist of the bank‟s expected returns and risks tolerance with constraints (also known as restraining functions to reflect the limitations placed on the Islamic bank‟s operating requirements), established using computational mathematics and algorithms with the aid of the MATLAB programming software. …”
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Thesis -
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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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Stock price monitoring system
Published 2024“…Algorithms trading is commonly practiced in the financial market due to high accuracy and least human error. …”
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Final Year Project / Dissertation / Thesis -
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Android Mobile Malware Surveillance Exploitation via Call Logs: Proof of Concept
Published 2024Conference Paper -
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Intersection Features For Android Botnet Classification
Published 2019“…However, hackers are continuously developing malicious applications especially Android botnet to steal private information, causing financial losses and breach user privacy. …”
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Article -
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AUTO-MANAGE PARKING SYSTEM (AMPS)
Published 2019“…For functionality, the system only able to serve its basic function and it still need few improvements. …”
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Final Year Project -
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Enhanced foreign exchange volatility forecasting using CEEMDAN with optuna-optimized ensemble deep learning model
Published 2024“…Furthermore, the hyperparameters for the DL models are optimized using the Optuna algorithm. Finally, a hybrid ensemble model for forecasting exchange rate volatility is developed by combining the predictions of three distinct DL models. …”
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Article -
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Modeling The Modified Internal Rate Of Return (Mirr) For Long-Term Investment Strategy By The Assumption Of Gamma Distribution
Published 2023“…However, simultaneously estimating all three parameters (shape, scale, and growth) through the maximum-likelihood function is computationally complex. Alternative approaches such as the Simulated Annealing (SA) algorithm, which maximizes the log-likelihood function, and Bayesian MCMC estimation are considered. …”
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