Search Results - (( its applications ((acs algorithm) OR (means algorithm)) ) OR ( wave application a algorithm ))*
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Facial image retrieval on semantic features using adaptive mean genetic algorithm
Published 2019“…The performance matrix of the AMGA was compared to those of particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and found to perform better; thus, proving its efficiency.…”
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Parsing algorithms for grammars with regulated rewriting
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A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modeling of electromagnetic data
Published 2021“…Seabed logging (SBL) is an application of electromagnetic (EM) waves for detecting potential marine hydrocarbon-saturated reservoirs reliant on a source-receiver system. …”
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Development of a State-Space Observer for Active Noise Control Systems
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Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification
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Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means
Published 2005“…The objective of this paper is to describe a rough sets and fuzzy c-means algorithms and discuss its usage to detect intrusion in a computer network. …”
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Evaluation of time-domain features for motor imagery movements using FCM and SVM
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Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices
Published 2024“…Recently, there has been a significant increase in the use of deep learning and low-computing edge devices for analysis of video-based systems, particularly in the field of intelligent transportation systems (ITS). One promising application of computer vision techniques in ITS is in the development of low- computing and accurate vehicle counting systems that can be used to eliminate dependence on external cloud computing resources. …”
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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. …”
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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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Corrosion Inhibition Study Of Carboxymethyl Celluloseionic Liquid Via Electrochemical And Machine Learning Technique
Published 2024journal::journal article -
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Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
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Market prices trend forecasting supported by Elliott Wave's theory
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Strategies DACS3 Increasing its Performances
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