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time implementation » its implementation (توسيع البحث), _ implementation (توسيع البحث), future implementations (توسيع البحث)
code » mode (توسيع البحث), core (توسيع البحث)
presents » present (توسيع البحث), presented (توسيع البحث)
time implementation » its implementation (توسيع البحث), _ implementation (توسيع البحث), future implementations (توسيع البحث)
code » mode (توسيع البحث), core (توسيع البحث)
presents » present (توسيع البحث), presented (توسيع البحث)
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Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel
منشور في 2016"…The derived exact expressions are given in terms of the univariate and multivariate Fox H functions for which we provide a portable and efficient Python code. Since the Fox's H-function fading channel represents the most generalized fading model ever presented in the literature, the derived expressions subsume most of those previously presented for all the known simple and composite fading models. …"
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A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data
منشور في 2021"…The novel Bayesian model on which our score is based - OutPyRX (Outlier detection in Python for RNA-Seq, eXtended version) - improves the model of its predecessor OutPyR by introducing novel parameters that are derived from OutPyR's. …"
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3
A study on Speaker Recognition System
منشور في 2015"…The proposed system was mainly developed using Python (Python.org, 2015). This system was used to implement and study several methods and techniques in speaker recognition domain. …"
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4
Exploring the potential of onboard energy scavenging subsystems for generating valuable data
منشور في 2023"…Furthermore, it enables real-time surveillance of vehicular suspension system health and offers a nuanced exploration of driver behavior patterns. …"
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5
Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques
منشور في 2022"…The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …"