Search Results - (( development (programme OR program) boost algorithm ) OR ( java application during algorithm ))
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Beyond Grades - Predicting Programme Learning Outcomes with Multi-Output Regression in Malaysian Higher Education
Published 2025journal-article -
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Explicit solution of parameter estimate using multiparametric programming for boost converter
Published 2023“…This work proposes an approach to estimate the parameters of capacitance and inductance in a boost converter using an explicit solution. A multiparametric programming (MPP) algorithm is fundamental to the suggested methodology, which aims to develop parameters as explicit functions of measurements. …”
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Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
Published 2014“…For evaluation and comparison analysis, conventional P&O and fuzzy logic control algorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. …”
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Peripheral Interface Controller (PIC) Based Maximum Power Point Tracking (MPPT) Algorithm For Photovoltaic (PV) DC To DC Boost Converter
Published 2016“…The microcontroller is programmed with a simple and reliable MPPT technique.…”
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Thesis -
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Collaborative-based web recommender system for community-driven homestay programmes
Published 2017“…All these operations are carried out simultaneously to boost the functions of the CBWR system. Hence, this research contributes to the development of a specific unique web database and a CBWR system, which is adopted from collaborative algorithm. …”
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Thesis -
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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. …”
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Final Year Project -
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PV boost converter conditioning using neural network
Published 2013“…The effectiveness of the proposed method is verified by developing a simulation model in MATLAB-Simulink program. …”
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Thesis -
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A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain
Published 2016“…This thesis focussed on the development of PV module integrated with positive output (PO) buck-boost converter by intelligent control of MPPT technique. …”
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Instruction Set Extension Of A Low-End Reconfigurable Microcontroller In Bit-Sorting Implementation
Published 2018“…The modules’ integration is implemented using instruction set architecture (ISA) extension technique and is developed on the Field Programmable Gate Array (FPGA). …”
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Application Specific Instruction Set Processor (ASIP) Design In An 8-Bit Softcore Microcontroller
Published 2018“…The modules’ integration is implemented using ASIP design without occurring extra board space and is developed using the Field Programmable Gate Array (FPGA) as the single chip solutions. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
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Thesis -
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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 -
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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. …”
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Thesis -
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An approach to improve detecting and removing cross- site scripting vulnerabilities in web applications
Published 2015“…This research work was limited to Java based web applications. In future research, the method can be extended to include other programming languages as well as other similar web application security vulnerabilities.…”
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Thesis -
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STATISTICAL FEATURE LEARNING THROUGH ENHANCED DELAUNAY CLUSTERING AND ENSEMBLE CLASSIFIERS FOR SKIN LESION SEGMENTATION AND CLASSIFICATION
Published 2021“…Moreover, skin lesion images are clustered based on fused color, pattern and shape based features. A boost ensemble learning algorithm using Support Vector Machines (SVM) as initial classifiers and Artificial Neural Networks (ANN) as a final classifier is employed to learn the patterns of different skin lesion class features. …”
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