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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 ...
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 ...
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 ...
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 ...
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 ...