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1
Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques
Published 2022“…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. 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. …”
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2
A study on Speaker Recognition System
Published 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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3
RDFFrames: knowledge graph access for machine learning tools
Published 2021“…<p>Knowledge graphs represented as RDF datasets are integral to many machine learning applications. …”
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4
Arabic Educational Neural Network Chatbot
Published 2023“…Finally, we programmed the chabot and the models in Python. As a consequence, an Arabic chatbot answers all questions about educational regulations in the United Arab Emirates.…”
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5
Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD
Published 2024“…In this paper, four different tools were designed and constructed for modeling and analyzing narrative network such as python library (NetworkX), powerful graph database Neo4j and two different network analysis tools named Gephi and CytoScape. …”
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Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel
Published 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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