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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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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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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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Fetal R-Wave detection in the ambulatory monitoring of maternal abdominal signal
Published 1995“…These tags are then used as a basis for error correction and the measurement of the algorithm performance. …”
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Efficient Numerical Modelling of Extreme Wave
Published 2020“…To obtain the largest wave that propagation among the wave groups, focus wave group that represent the largest wave that occur in the random sea was simulated using Ocean Wave 3D. …”
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Efficient Numerical Modelling of Extreme Waves
Published 2020“…To obtain the largest wave that propagation among the wave groups, focus wave group that represent the largest wave that occur in the random sea was simulated using Ocean Wave 3D. …”
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Enhanced weight-optimized recurrent neural networks based on sine cosine algorithm for wave height prediction
Published 2021“…Therefore, the wind plays an essential role in the oceanic atmosphere and contributes to the formation of waves. This paper proposes an enhanced weight-optimized neural network based on Sine Cosine Algorithm (SCA) to accurately predict the wave height. …”
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Development of XGboost model for wave overtopping using enhanced clash database / Mohamed Tarek Mohamed Fouad
Published 2024“…This thesis presents a comprehensive study on estimation of wave overtopping using (XGB) algorithm, with a focus on both model development and experimental validation. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Evaluation of lightning return stroke current using measured electromagnetic fields
Published 2012“…This research proposed an inverse procedure algorithm using the proposed general fields’ expressions and the particle swarm optimization algorithm (PSO) in the time domain where the full channel base current wave shape in time domain can be determined. …”
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Validation of a 2D multispectral camera: Application to dermatology/cosmetology on a population covering five skin phototypes
Published 2011“…The flexibility of neural network based algorithm allows reconstruction at different wave ranges. …”
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Machine learning modeling for radiofrequency electromagnetic fields (RF-EMF) signals from mmWave 5G signals
Published 2023“…Additionally, the ICNIRP standard was used and compared with the results and validation values of the algorithms.…”
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HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION
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STUDIES ON THE NONLINEAR INTERACTIONS ASSOCIATED WITH MOORED SEMI SUBMERSIBLE OFFSHORE PLATFORMS
Published 2011“…Based on the validated numerical algorithm, a number of parametric studies were conducted for investigating the contributions of various design parameters on the dynamics of moored semi submersibles. …”
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Modeling Of Dynamic Behavior In Closed Crack And Nonlinear Ultrasonic Array Imaging
Published 2017“…The second harmonic component which extracted from the scattered wave using a band-pass filter was used as the input to the FSAP imaging technique. …”
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Evaluation of lightning current and ground reflection factor using measured electromagnetic field
Published 2014“…In order to validate the proposed method, a set of measured electromagnetic fields are used as the input parameters for the proposed algorithm. …”
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Characterization of oil palm fruitlets using artificial neural network
Published 2014“…To further validate the generalization accuracy of the LSB_ANN, its performance was compared with that of a Multi-ANFIS network as well as those of three different ANN training algorithms: Levenberg Marquardt (LM) algorithm, Resilient Backpropagation (RP) algorithm and Gradient Descent with Adaptive learning rate (GDA). …”
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