Konu "Machine Learning" için Scopus İndeksli Yayınlar / Scopus Indexed Publications listeleme
Toplam kayıt 9, listelenen: 1-9
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Akıllı Nesneler İçin Fiziksel Saldırı Tespiti
(IEEE, 2018)Nesnelerin İnterneti akıllı Dünya vizyonuyla hayatın her alanında yeni ürün ve hizmetleriyle girmektedir. Geleneksel diğer bilinen cihazların aksine akıllı nesneler evde, işte veya sokakta hayatın içerisinde karşımıza ... -
A Comparison of Classification Methods for Telediagnosis of Parkinson's Disease
(Multidisciplinary Digital Publishing Institute, 2016)Parkinson’s disease (PD) is a progressive and chronic nervous system disease that impairs the ability of speech, gait, and complex muscle-and-nerve actions. Early diagnosis of PD is quite important for alleviating the ... -
Detecting Code Smell with a Deep Learning System
(IEEE, 2023)Code smell detection is one of the most significant issues in the software industry. Metric-based static code analysis tools are used to detect undesirable coding practices known as code smells and guide refactoring ... -
Enhancing Nearest Centroid with Coverage Principle for Classification Problem
(Institute of Electrical and Electronics Engineers Inc., 2021)Motivated by the network coverage of the trans- mitter, this research proposes a novel coverage-based method to improve the Nearest Centroid’s class prediction by replacing the centroid with radius coverage as the ... -
A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text
(Springer, 2021)The feature selection method plays a crucial role in text classification to minimizing the dimensionality of the features and accelerating the learning process of the classifier. Text classification is the process of ... -
Low-cost VIS/NIR Range Hand-held and Portable Photospectrometer and Evaluation of Machine Learning Algorithms for Classification Performance
(Elsevier B.V., 2022)In this study, the electronic design of a low-cost and portable spectrophotometer device capable of analyzing in the visible-near infrared region was established. The design of C#.NET-based user-friendly device control ... -
Malware Detection in Android Systems with Traditional Machine Learning Models: A Survey
(IEEE, 2020)Due to the increased number of mobile devices, they are integrated in every dimension of our daily life. To execute some sophisticated programs, a capable operating must be set up on them. Undoubtedly, Android is the ... -
Neural Network Based Android Malware Detection with Different IP Coding Methods
(IEEE, 2021)Due to the COVID-19 epidemic that has affected the whole world, internet use has increased more than in previous years. Almost all operations and transactions are done over the internet, especially with the use of ... -
Protecting Android Devices from Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and Challenges
(IEEE, 2023)Advancements in microelectronics have increased the popularity of mobile devices like cellphones, tablets, e-readers, and PDAs. Android, with its open-source platform, broad device support, customizability, and integration ...