Comparative analysis of database types in mobile applications running on the Android operating system by Adrian Bartoszek

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An Algorithm for Improving Email Security on the Android Operating System in the Industry 4.0 Era by Isaac Moses Kisembo, Gilbert Gilibrays Ocen, Ocident Bongomin, Andrew Egwar Alunyu, Ildephonse Nibikora, Davis Matovu, Felix Bwire

“…One of the major threats to email communication is the lack of confidentiality for emails accessed via Android mobile devices due to the weaknesses of the Android operating system (OS) platform. In this study, an algorithm was designed and implemented on an Android application that allows an email sender to compose an email and set the time the email stays in the receiver inbox before it automatically wipes off. …”
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Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations by Roland Szabo

“…The mobile app was implemented on the Android operating system. The app has a live video feed of the surroundings. …”
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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers by Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic

“…Application permissions, which are one of the most critical building blocks in the security of the Android operating system, are extracted through static analysis, and security analyzes of applications are carried out with machine learning techniques. …”
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Convolutional Neural Networks for Software Defect Categorization: An Empirical Validation by Ruchika Malhotra, Madhukar Cherukuri

“…Extensive experiments were carried out on defect datasets from five Android operating system application modules, leading to the creation of 60 SDC models (5 datasets x 4 feature sets x 3 approaches). …”
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A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

“…Android operating system is not just the most commonly employed mobile operating system, but also the most lucrative target for cybercriminals due to its extensive user base. …”
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تطبیقات الهواتف الذکیة والخصوصیة المعلوماتیة : دراسة تحلیلیة مقارنة by د. حسام الدین محمد رفعت

“…Thestudy focused mainly on Android operating system as it was highly spreadcompared to other systems. …”
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Smartphone-Based Automated Non-Destructive Testing Devices by V. F. Petryk, A. G. Protasov, R. M. Galagan, A. V. Muraviov, I. I. Lysenko

“…To ensure the operation of the smartphone in the ultrasonic flaw detector mode, the smartphone has software installed that runs in the Android operating system and implements the proposed algorithm of the device, and can serve as a repeater for processing data over a considerable distance (up to hundreds and thousands of kilometers) if it necessary.The experimental data comparative analysis of the developed device with the Einstein-II flaw detector from Modsonic (India) and the TS-2028H+ flaw detector from Tru-Test (New Zealand) showed that the proposed device is not inferior to them in terms of such characteristics as the range of measured thicknesses, the relative error in determining the depth defect and the object thickness. …”
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Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…Abstract Since the Android operating system is open-source, many Android-based applications are developed and freely available in app stores. …”
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FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications by Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru

“…The Android operating system, which is popular on mobile devices, creates concerns for users due to the malware it is exposed to. …”
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Automated CATS system for distance learning by Yu. B. Popova

“…Users are provided with a web application and its mobile clients for iOS and Android operating systems. Mobile applications are localized in Russian, Belarusian, English and German. …”
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A smartphone application to objectively monitor music listening habits in adolescents by Danique E. Paping, Jantien L. Vroegop, Simone P. C. Koenraads, Carlijn M.P. le Clercq, André Goedegebure, Robert J. Baatenburg de Jong, Marc P. van der Schroeff

“…A smartphone application for Android operating systems was developed to objectively monitor music listening habits for a period of 35 days. …”
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