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32 results for “Smartphone”
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Research ArticleOpen accessEvery word in the titleDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,392 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRed-Green-Blue Color Analysis Concerning Rice Husk Incorporation in Rice BranIman Hernaman, Urip Rosani, Tidi Dhalika et al.We aimed to determine rice husks incorporated in rice bran by using Red-Green-Blue (RGB) color. Rice bran and rice husk samples were analyzed for crude protein and lignin and mixed at a ratio of 100:0, 90:10, 80:20, 70:30, 60:40 and 50:50. The phloroglucinol-HCl was added to the samples into Petri dishes and photographed with a smartphone to get RGB pixel … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 30 May 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the keywordsADAPTIVE I/O SWITCHING FOR SEAMLESS CONVERGENCE OF SMART PHONES AND EXTERNAL I/O DEVICESOh-Chul Kwon, Jusung Kim, Chang-Gun LeeTo be small and easy to carry, mobile devices cannot be equipped with large and highly capable input/output devices. In order to overcome these limitations, this study proposes adaptive I/O switching technique as a general solution for exploiting full features of various external input/output devices in lieu of tiny input/output devices in a smartphone. Unlike existing physical-layer connection based solutions … …Journal of Computer Science, Vol. 10, Issue 7 · 21 Feb 2014 · 6,649 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMOBILE COMMUNICATIONS FOR USING IN TELEMEDICINEMarjan Ghazi Saeedi, Mashaallah Torabi, Sakineh Hamidi, Hassan RanjiTelemedicine the use of telecommunication and information technologies in order to provide clinical health care at a distance helps eliminate distance barriers and can improve access to medical services that would often not be consistently available in distant rural communities. It is also used to save lives in critical care and emergency situations. Although there were distant precursors to telemedicine, … …Current Research in Medicine, Vol. 5, Issue 1 · 12 Feb 2014 · 9,985 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting React Native Mobile Apps: Pruning GUI Model ApproachRand Marwan Khalil Ibrahim, Samer ZeinThe mobile app market is still in continual growth. People are migrating to smartphone mobile devices to accomplish their daily activities while working, playing, and communicating with others. From the developers' perspective, there exists a wide variety of platforms, technologies, and architecture choices for developing and testing mobile apps. However, because of the constant changes in software applications and the … …Journal of Computer Science, Vol. 20, Issue 6 · 12 Mar 2024 · 6,070 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Disease Detection Using Deep Learning Techniques on ImagesKinjal Vijaybhai Deputy, Kalpdrum Passi, Chakresh Kumar JainAgriculture plays a crucial role in the economic development of many countries and sustains the global population despite facing various challenges like climate change, pollinator decline, and plant diseases. These threats to food security highlight the need for innovative solutions to prevent crop loss. Leveraging smartphone technology for automated image recognition-based disease diagnosis has emerged as a promising approach, thanks … …Journal of Computer Science, Vol. 19, Issue 12 · 25 Oct 2023 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputer Users Sitting Posture Classification Using Distinct Feature Points and Small Scale Convolutional Neural Network for Humana Computer Intelligent Interactive System During COVID-19Jheanel Estrada, Larry VeaThe sudden change in our workplace practices from face-to-face work to work from home setup due to the pandemic has brought positive and negative impacts on our overall health. In literature, the use of deep learning and specialized cameras in the estimation of the human pose is popular even if there is a need for high computational resources and complex … …Journal of Computer Science, Vol. 19, Issue 4 · 16 Mar 2023 · 6,553 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwo Factor Authentication for e-Government Services using Hardware-Like One Time Password GeneratorsGiuseppe Della Penna, Pietro Frasca, Benedetto IntrigilaA safe and accessible authentication technique is a prerequisite for any modern e-government application. Two-factor authentication is currently widely adopted, since it alleviates many vulnerabilities of password-based authentication. The majority of e-government systems currently make use of text messages to deliver the second authentication factor, but these messages do not constitute an adequate (secure and reliable) solution. In this paper … …Journal of Computer Science, Vol. 15, Issue 1 · 26 Jan 2019 · 8,167 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonal Exposure to PM2.5 in the Various Microenvironments as a Traveler in the Southeast Asian CountriesSemih Ozler, Karoline K. Johnson, Michael H. Bergin, James Jay SchauerAir pollution has become a pressing issue in today’s society because of its significant effects on humans, animals, plants, air quality, climate and the wider environment. Most urban areas are associated with one or more air pollutants which are emitted from local or regional pollution sources including vehicle exhausts, fossil fuels using in energy production, emissions from industrial and mining … …American Journal of Environmental Sciences, Vol. 14, Issue 4 · 27 Oct 2018 · 9,274 accessesView PDFCite