Search Results - (( square simulation based algorithm ) OR ( java application using algorithm ))
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An expanded square pattern technique in swarm of quadcopters for exploration algorithm
Published 2017“…We simulate the swarm-based exploration algorithm with expanded square pattern using a VREP simulator. …”
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Article -
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Iterative closed-loop identification of MIMO systems using ARX-based Leaky Least Mean Square Algorithm
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2023“…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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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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Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links
Published 2022“…Motivated by this fact, a quantum calculus-based noisy links incremental least mean squares (NL-qILMS) algorithm is proposed. …”
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Comparison of performance and computational complexity of nonlinear active noise control algorithms
Published 2011“…The evaluation of the algorithms performance is standardized in terms of the normalized mean square error while the computational complexity is calculated based on the number of multiplications and additions in a single iteration. …”
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Short term forecasting based on hybrid least squares support vector machines
Published 2018“…This study assesses the performance of each hybrid algorithms based on three statistical indices viz. Mean Square Error (MSE), Root Mean Square Percentage Error (RMSPE) and Theil’s U which is realized on raw and normalized data set. …”
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Reduced-rank technique for joint channel estimation in TD-SCDMA systems.
Published 2013“…The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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Provider independent cryptographic tools
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Monograph -
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Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems
Published 2012“…The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…The adopted reduced rank technique is based on singular value decomposition algorithm. …”
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Detection of multiple outliners in linear regression using nonparametric methods
Published 2004“…REFERENCES Agullo, J. (2000). New Algorithms for Computing the Least Trimmed Squares Regression Estimator. …”
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Monograph -
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Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction
Published 2025“…The best-performing model is determined based on the lowest values of Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE). …”
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Thesis -
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