Search Results - (( wave application ((a algorithm) OR (bat algorithm)) ) OR ( its application during algorithm ))*
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Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
Published 2024“…The 1D-CNN-LSTM model achieved a 100%, 100%, and 100% success rate during training, validation, and testing. …”
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Asynchronous point to point FSK- FM radio telemetry system with data encryption for monitoring environmental conditions / Shuhaimi Shamsuddin
Published 2003“…One of its main tasks is to acquire data at a remote location and send the data to a location either through cables or radio waves where the data can be received for analysis. …”
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An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
Get full text
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Design and implementation of cordic algorithm with sinusoidal pulse width modulation switching strategy
Published 2017“…In addition, CORDIC algorithm has a low usage of memory space compared to Look Up table (LUT) technique. …”
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Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
Published 2007Get full text
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Market prices trend forecasting supported by Elliott Wave's theory
Published 2017Get full text
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Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…As a result, it is more suitable and harder to identify demands in all applications. …”
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Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey
Published 2024journal::journal article -
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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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