APLIKASI UNTUK IDENTIFIKASI SHORT MESSAGE SERVICE (SMS) SPAM BERBASIS ANDROID by , ZAID ROMEGAR MAIR, , Dr. Techn. Ahmad Ashari, M.I.Kom

“…Rampant fraud through SMS may cause crime in the form of SMS spam, so in this study constructed a system of web-based tool to conduct analysis on smartphone android to identify categorization of SMS, which is implemented using Naive Bayessian Filtering algorithm for determining the value of the probability SMS contents of the smartphone Android Samsung Galaxy Young Kernel NAND. The method used is a forensic process model, which consists of the maintenance Preservation, Acquisition, Examination, Analysis and Reporting. …”

The Future of Stress Management: Integration of Smartwatches and HRV Technology by Ravinder Jerath, Mohammad Syam, Shajia Ahmed

“…Prominent smartwatches, such as Apple Watch, Garmin, Fitbit, Polar, and Samsung Galaxy Watch, are evaluated based on their HRV measurement accuracy, data quality, sensor technology, and integration with stress management features. …”
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Fs laser written volume Raman–Nath grating for integrated spectrometer on smartphone by Jean-Sébastien Boisvert, Sébastien Loranger, Raman Kashyap

“…A weak volume Raman–Nath grating of dimension 0.5 by 3 mm and 3 μm pitch was placed in front of a Samsung Galaxy S21 FE cellphone to record the spectrum using the 2nd diffraction order. …”
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Ball game measurement and analysis on Android by Cao, Xin Long

“…The position of the ball and roll of the tablet are recorded and uploaded to a server. The Samsung Galaxy Tab 3 is used to implement an Android application on client side and the accelerometer sensor build-in the tablet used to build the application. …”
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Aplikasi Iphone: antara teknologi maklumat dan komunikasi, media sosial dan sebaran dakwah by Nik Zainal Abidin, Nik Mohd Firdaus, Mohd. Yusof, Farahwahida, Hehsan, Nurshuhadak

“…Now, with the advancement of Internet technology and mobile devices such as smart phones iPhone and Samsung Galaxy Pad tablets, for example, exchange of ideas, information sharing and data communication can be performed anywhere more easily and quickly. …”
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Yoga dataset: A resource for computer vision-based analysis of Yoga asanas by Yogesh Suryawanshi, Namrata Gunjal, Burhanuddin Kanorewala, Kailas Patil

“…For this we created the image and video datasets of different yoga asana using the mobile device Samsung Galaxy M30s. The dataset contains images and videos of effective (right) and ineffective postures for 10 Yoga asana, with a total of 11,344 images and 80 videos. …”
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Spectrogram Dataset of Korean Smartphone Audio Files Forged Using the “Mix Paste” Command by Yeongmin Son, Won Jun Kwak, Jae Wan Park

“…The original audio was recorded using iPhone and Samsung Galaxy smartphones to ensure a realistic sampling environment. …”
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Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices by Ben Nassi, Jacob Shams, Lior Rokach, Yuval Elovici

“…In order to evaluate our approach, we conducted a field experiment and collected 60 free gait samples from 30 patrons of three bars using a Microsoft Band and Samsung Galaxy S4. We validated our results against an admissible breathalyzer used by the police. …”
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Floor Identification Using Magnetic Field Data with Smartphone Sensors by Imran Ashraf, Soojung Hur, Muhammad Shafiq, Yongwan Park

“…Additionally, the impact of device heterogeneity on floor identification is investigated using Samsung Galaxy S8, LG G6, and LG G7 smartphones. Research results demonstrate that the magnetic floor identification outperforms barometric and Wi-Fi-enabled floor detection techniques. …”
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Tidal Volume Estimation Using the Blanket Fractal Dimension of the Tracheal Sounds Acquired by Smartphone by Natasa Reljin, Bersain A. Reyes, Ki H. Chon

“…We collected tracheal sounds with a Samsung Galaxy S4 smartphone, from five (N = 5) healthy volunteers. …”
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Pronunciation verification application for android smartphone by Zin, May Thant.

“…For this project, the devices on which the application is tested on are an Android emulator, a Sony Ericsson Xperia X8 smartphone, a Samsung Galaxy SIII GT-I9305 smartphone and an ASUS Eee Pad Transformer TF101. …”
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Mobile healthcare management : indoor movement tracking by Yang, Yujie

“…Wi-Fi, magnetic field and inertial based indoor positioning technologies have been successfully employed and integrated into the system as the positioning methodologies for the system.A Samsung Galaxy S4 embedded with sensors is used as the client device carried by the users while 3 Wi-Fi Access Points were positioned at different regions of the indoor location as the supporting system. …”
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Validating a Consumer Smartwatch for Nocturnal Respiratory Rate Measurements in Sleep Monitoring by Hyunjun Jung, Dongyeop Kim, Jongmin Choi, Eun Yeon Joo

“…This study aimed to assess the accuracy of the RR estimation function during sleep based on the severity of obstructive sleep apnea (OSA) using the Samsung Galaxy Watch (GW) series. These watches are equipped with accelerometers and photoplethysmography sensors for RR estimation. …”
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mPILOT-Magnetic Field Strength Based Pedestrian Indoor Localization by Imran Ashraf, Soojung Hur, Yongwan Park

“…The pattern matching approach solves the problem of device heterogeneity and the algorithm’s performance with Samsung Galaxy S8 and LG G6 is comparable. A deep learning based artificial neural network is adopted to identify the user state of walking and stationary and its accuracy is 95%. …”
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Virtual piano by Soh, Dominic Shi Quan

“…The application is tested on a Samsung Galaxy Note 4 under a single light condition in a small room. …”
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Aplicación informática para la gestión de la información brindada por SCADA en la empresa Aguas de La Habana by Randy Plasencia-Herrera

“…Se utilizó XP como metodología de desarrollo de software y las herramientas utilizadas fueron el IDE Android Studio, el celular Samsung Galaxy Grand Prime, la base de datos SQL Server, la librería gráfica Mikephil, XML para la interfaz gráfica, JAVA como lenguaje de programación y la tarjeta Sim con GPRS para la conexión. …”
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Reliability of a Tablet Computer-Based Dyslexia Screening Application Using an Eye-Tracking System by Segeun Park, Jonggeun Song, Tae-Hoon Eom, Young-Hoon Kim

“…The screening was conducted using the VisualCamp SeeSo eye-tracking Android Software Development Kit v3.0.0, implemented on Samsung Galaxy Tab S5e tablets. The eye-tracking system measured reading speed by gaze, mean gaze fixation time, gaze fixation frequency, saccadic length, and regression ratio. …”
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Craniofacial 3D Morphometric Analysis with Smartphone-Based Photogrammetry by Omar C. Quispe-Enriquez, Juan José Valero-Lanzuela, José Luis Lerma

“…The research involves the acquisition of craniofacial 3D models on both volunteers and head mannequins using a Samsung Galaxy S22 smartphone. For the photogrammetric processing, Agisoft Metashape v 1.7 and PhotoMeDAS software v 1.7 were used. …”
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Tracheal Sounds Acquisition Using Smartphones by Bersain A. Reyes, Natasa Reljin, Ki H. Chon

“…The aim of this work was to examine the feasibility of extracting accurate airflow, and automating the detection of breath-phase onset and respiratory rates all directly from tracheal sounds acquired from an acoustic microphone connected to a smartphone. We employed the Samsung Galaxy S4 and iPhone 4s smartphones to acquire tracheal sounds from N = 9 healthy volunteers at airflows ranging from 0.5 to 2.5 L/s. …”
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Method for Profile-Guided Optimization of Android Applications Using Random Forest by Andrei Visochan, Andrey Stroganov, Ivan Titarenko, Sergei Lonchakov, Stanislav Mologin, Svetlana Pavlova, Anastasia Lyupa, Anna Kozlova

“…Measurements were taken on Samsung Galaxy S22 and A52 devices with Android 12 firmware and several dozen Samsung applications.…”
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