Search Results - (( developing rate volatility algorithm ) OR ( java implication based algorithm ))
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Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility
Published 2018“…All parameters involved in the developed model are estimated by using innovation algorithm. …”
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Thesis -
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Enhanced foreign exchange volatility forecasting using CEEMDAN with optuna-optimized ensemble deep learning model
Published 2024“…Furthermore, the hyperparameters for the DL models are optimized using the Optuna algorithm. Finally, a hybrid ensemble model for forecasting exchange rate volatility is developed by combining the predictions of three distinct DL models. …”
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Multi-horizon ternary time series forecasting
Published 2013“…Over these datasets, this system achieves accuracy rates well above the baseline accuracy rate, implying statistical significance. …”
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Proceeding Paper -
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A performance comparison study of pattern recognition systems for volatile organic compounds detection / Emilia Noorsal, Muhammad Khusairi Osman and Norfadzilah Mokhtar
Published 2007“…This project focuses only on the development of an Artificial Neural Network (ANN) for the classification of Volatile Organic Compounds (VOCs). …”
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Research Reports -
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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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Optimization of food waste to sewage sludge ratio for anaerobic co-digestion process using Artificial Neural Network (ANN) and Genetic Algorithm (GA)
Published 2021“…Hence, other parameters such as particle size and mixing rate should be considered.…”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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