Mobile Sensing for Multipurpose Applications in Transportation

Aboah, Armstrong; Boeding, Michael; Adu-Gyamfi, Yaw

doi:10.1007/s42421-022-00061-8

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…The current findings revealed that the respondents understood that the future stroke mobile application is a multifunctional hub that allows access to accurate and authentic sources of information, in addition to being a time-saving application. This is in line with recent research [55][56][57] that emphasized the advantages of using multipurpose mobile applications, especially in terms of time saving [58,59]. To create a paradigm shift in stroke healthcare toward achieving a proactive involvement in patient self-care practices and improving patient engagement instead of being a passive recipient of self-healthcare, the application should be able to deliver the appropriate and intelligible information according to the local environment [60,61].…”

Section: Discussionsupporting

confidence: 72%

Exploring the Need for Mobile Application in Stroke Management by Informal Caregivers: A Qualitative Study

Mukhti

Ibrahim

Ismail

et al. 2022

IJERPH

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Background: Mobile health (mHealth) has been considered as a prominent concept in digital health and is widely used and easily accessible. Periodic follow-up visits, previously planned procedures, and rehabilitation services for stroke survivors have been cut down during the recent COVID-19 pandemic. Therefore, in this qualitative study we aimed to explore the need for a mobile application in stroke management by informal caregivers. Methods: A phenomenological qualitative study was conducted from November 2020 to June 2021. Thirteen respondents were recruited from two public rehabilitation centers in Kota Bharu, Kelantan, Malaysia. In-depth interviews were conducted. A comprehensive representation of perspectives from the respondents was achieved through purposive sampling. The interviews were conducted in the Kelantanese dialect, recorded, transcribed, and analyzed by using thematic analysis. Results: Thirteen participants were involved in the interviews. All of them agreed with the need for a mobile application in stroke management. They believed the future stroke application will help them to seek information, continuous stroke home care, and help in the welfare of caregivers and stroke patients. Conclusions: The current study revealed two themes with respective subthemes that were identified, namely, self-seeking for information and reasons for using a stroke mobile application in the future. This application helps in reducing healthcare costs, enhancing the rehabilitation process, facilitating patient engagement in decision making, and the continuous monitoring of patient health.

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Section: Discussionsupporting

confidence: 72%

Exploring the Need for Mobile Application in Stroke Management by Informal Caregivers: A Qualitative Study

Mukhti

Ibrahim

Ismail

et al. 2022

IJERPH

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“…Penelitian Python open-source dan gratis untuk pengembangan aplikasi web, Karena kode-kodenya juga tersedia untuk umum di GitHub, para developer dapat dengan mudah menyesuaikan kode-kode tersebut untuk mengubah dan memperbarui apa pun yang diinginkan [13] [14]. Streamlit digunakan karena kemampuannya dalam membuat dashboard dengan cepat.…”

Section: Pendahuluanunclassified

Transfer Learning to Predict Genre Based on Anime Posters

Kaka Kamaludin,

Woro Isti Rahayu,

Helmi Setywan

2023

J. Tek. Inform. (JUTIF)

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Anime is an animated film with a distinctive graphic design originating from Japan, which is widely favored by various groups. anime itself has a genre like a movie in general, but there is a slight difference from ordinary films, anime has additional genres that are not in ordinary films, such as the Ecchi, Mahou Shoujou, Seinen, Shounen, and Josei genres. Since those genres only exist in anime, this research is devoted to predicting those anime genres. The prediction will use posters from the anime itself, with the help of image processing, namely the Convolutional Neural Network method and Transfer Learning. Transfer Learning will be implanted as a comparison of the performance of the existing architecture with the architecture that will be created, whether the architecture is able to process the dataset properly. The dataset to be used is a dataset of posters and csv documents containing images and details of the anime, the dataset contains anime data from 1980 to 2021 and contains 11651 anime poster data which has different resolution sizes. The ResNet50 model has the highest accuracy rate of 48% with a loss rate of 36%, while InceptionV3 produces 35% accuracy with 69% loss. At the time of testing ResNet50 gave the smallest genre percentage value of CustomModel and InceptionV3, while CustomModel gave the highest genre value. In addition to the value, all modes also predicted the genre well. Especially InceptionV3 is able to predict the music genre, because the music genre has a very small number of datasets, and this music genre is difficult to predict by the ResNet50 and CustomModel models.

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