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Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
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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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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Improvement of Auditory Brainstem Response (ABR) wave V amplitude using novel MLS nonlinear algorithm
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Use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response
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Enhanced control algorithms for multilevel inverter-based shunt active power filter
Published 2017“…Lastly, a new current harmonics extraction algorithm known as simplified synchronous reference frame (SSRF) algorithm is developed, and with its simplified features, it is able to respond quickly to various system conditions while maintaining high accuracy. …”
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Cohesive token passing algorithm utilizing software agents
Published 2010“…The communications domain has utilized the implementation of protocols for a wide spectrum of applications. This encompasses Medium Access Control (MAC) protocols. …”
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Use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response
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Data clustering using the bees algorithm
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Holograph interferomatery for modelling rate change of shoreline from airsar data
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Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
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A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
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