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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe
Published 2017“…Java programming language is used to implement the algorithm. …”
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Secure Image Steganography Using Encryption Algorithm
Published 2016“…A system based on the proposed algorithm will be implemented using Java and it will be more secured due to double-layer of security mechanisms which are RSA and Diffie-Hellman.…”
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Conference or Workshop Item -
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Digitally signed electronic certificate for workshop / Azinuddin Baharum
Published 2017“…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
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Thesis -
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Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques
Published 2018“…The standard color conversion technique and Plane-Orthogonal-to-Skin (POS) algorithm have been applied to estimate the Remote photoplethysmography (rPPG) signal efficiently. …”
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Modelling and control strategies for hydrokinetic energy harnessing
Published 2020“…The research outcomes indicated that the H-Darrieus with NACA 0018 was the best turbine for energy conversion in the river. Besides, the HCS-Fuzzy MPPT algorithm improved the energy extraction up to 88.30 % as well as reduced 74.47 % the oscillation compared to the SS-HCS MPPT. …”
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Thesis -
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Simulation results are presented to validate performance of the algorithm under different irradiation schemes, and to compare with the results obtained from conventional algorithm. …”
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Thesis -
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Constant lock circuit for DC micro-grid system
Published 2017“…Also, the changing of water flow rates causes a variable output voltage. In this renewable system, continuous power flow to meet load demand is not possible. …”
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Thesis -
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Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Published 2025“…Firstly, the findings of the 113 CS tests available in the previous studies were extracted. Twelve feature variables, including GGBS, silica fume, fly ash, and rice husk ash contents as precursors, the Na2SiO3, NaOH, KOH, and extra water content, polypropylene fiber, steel fiber, liquid-to-binder (L/B) ratio, and curing temperature, were investigated. …”
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