Search Results - (( developing online coefficient algorithm ) OR ( java implication based algorithm ))
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A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus
Published 2023“…This thesis presents a new algorithm for output prediction and online monitoring in a Grid-Connected Photovoltaic (GCPV) system based on an artificial neural network. …”
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Keyword search for doa retrieval using N-gram / Anis Safuraa Ahmad Tajudin
Published 2015“…A relational database for the Malay words has been constructed in two table which is title of doa and verse and the prototype to retrieve the Doa in Arabic, its' meaning in Malay and the use of it has been developed. The result is overlap coefficient percentage result better than dice coefficient.…”
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Maximum Power Prediction for PV System based on P&O Algorithm
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Development of language identification system using MFCC and vector quantization
Published 2017“…This paper investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
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Language identification system using Matlab: design, implementation, and sample codes
Published 2017“…This book investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
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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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A simulation study of a new rate-and-queue-based active queue management algorithm
Published 2012“…This paper aims at developing a novel AQM algorithm to better QoS in terms of congestion prediction, queuing delay, packet loss and link utility, etc. …”
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Analysis of training function for NNARX in solar radiation prediction modeling
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Conference or Workshop Item -
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
Published 2022“…This research introduces a developed method for online system identification based on the Hammerstein and Wiener nonlinear block-oriented structure with the artificial neural networks (NN) advantages and recursive weighted least squares algorithm for optimizing neural network learning in real-time. …”
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Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets
Published 2006“…The Mean Square Error (MSE) and Peak-Signal-to-Noise Ratio (PSNR) are calculated. The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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Low power reconfigurable sub-band filter bank ASIC for MP3 decoder
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