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Search Results (17)
  • Open Access

    ARTICLE

    Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps

    Wael M. S. Yafooz*, Abdullah Alsaeedi

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 735-759, 2024, DOI:10.32604/cmc.2024.048270

    Abstract In the last decade, technical advancements and faster Internet speeds have also led to an increasing number of mobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobile apps. The use of these apps eases our daily lives, and all customers who need any type of service can access it easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digital services to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services, particularly during two large occasions,… More >

  • Open Access

    ARTICLE

    A Health Monitoring System Using IoT-Based Android Mobile Application

    Madallah Alruwaili1,*, Muhammad Hameed Siddiqi1, Kamran Farid2, Mohammad Azad1, Saad Alanazi1, Asfandyar Khan2, Abdullah Khan2

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2293-2311, 2023, DOI:10.32604/csse.2023.040312

    Abstract Numerous types of research on healthcare monitoring systems have been conducted for calculating heart rate, ECG, nasal/oral airflow, temperature, light sensor, and fall detection sensor. Different researchers have done different work in the field of health monitoring with sensor networks. Different researchers used built-in apps, such as some used a small number of parameters, while some other studies used more than one microcontroller and used senders and receivers among the microcontrollers to communicate, and outdated tools for study development. While no efficient, cheap, and updated work is proposed in the field of sensor-based health monitoring… More >

  • Open Access

    ARTICLE

    An OP-TEE Energy-Efficient Task Scheduling Approach Based on Mobile Application Characteristics

    Hai Wang*, Xuan Hao, Shuo Ji*, Jie Zheng, Yuhui Ma, Jianfeng Yang

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1621-1635, 2023, DOI:10.32604/iasc.2023.037898

    Abstract Trusted Execution Environment (TEE) is an important part of the security architecture of modern mobile devices, but its secure interaction process brings extra computing burden to mobile devices. This paper takes open portable trusted execution environment (OP-TEE) as the research object and deploys it to Raspberry Pi 3B, designs and implements a benchmark for OP-TEE, and analyzes its program characteristics. Furthermore, the application execution time, energy consumption and energy-delay product (EDP) are taken as the optimization objectives, and the central processing unit (CPU) frequency scheduling strategy of mobile devices is dynamically adjusted according to the More >

  • Open Access

    ARTICLE

    Behavioral Intention to Continue Using a Library Mobile App

    X. Zhang1, H. Liu1, Z. H. Liu1, J. R. Ming1,*, Y. Zhou2

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 357-369, 2023, DOI:10.32604/csse.2023.033251

    Abstract To meet the needs of today’s library users, institutions are developing library mobile apps (LMAs), as their libraries are increasingly intelligent and rely on deep learning. This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA. A research model was constructed based on the technology acceptance model. A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data. The analysis was based on structural equation modeling. The empirical results show that the… More >

  • Open Access

    ARTICLE

    Usability-Driven Mobile Application Development

    Fadwa Yahya1,2,*, Lassaad Ben Ammar1,2, Gasmi Karim3

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3165-3180, 2023, DOI:10.32604/csse.2023.030358

    Abstract Recently, a specific interest is being taken in the development of mobile application (app) via Model-Based User Interface Development (MBUID) approach. MBUID allows the generation of mobile apps in the target platform(s) from conceptual models. As such it simplified the development process of mobile app. However, the interest is only focused on the functional aspects of the mobile app while neglecting the non-functional aspects, such as usability. The latter is largely considered as the main factor leading to the success or failure of any software system. This paper aims at addressing non-functional aspects of mobile More >

  • Open Access

    ARTICLE

    Development of Mobile App to Support the Mobility of Visually Impaired People

    R. Meenakshi1, R. Ponnusamy1,*, Saleh Alghamdi2, Osama Ibrahim Khalaf3, Youseef Alotaibi4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3473-3495, 2022, DOI:10.32604/cmc.2022.028540

    Abstract In 2017, it was estimated that the number of persons of all ages visually affected would be two hundred and eighty-five million, of which thirty-nine million are blind. There are several innovative technical solutions available to facilitate the movement of these people. The next big challenge for technical people is to give cost-effective solutions. One of the challenges for people with visual impairments is navigating safely, recognizing obstacles, and moving freely between locations in unfamiliar environments. A new mobile application solution is developed, and the application can be installed in android mobile. The application will More >

  • Open Access

    ARTICLE

    Arabic Sentiment Analysis of Users’ Opinions of Governmental Mobile Applications

    Mohammed Hadwan1,2,3,*, Mohammed A. Al-Hagery4, Mohammed Al-Sarem5, Faisal Saeed5,6

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4675-4689, 2022, DOI:10.32604/cmc.2022.027311

    Abstract Different types of pandemics that have appeared from time to time have changed many aspects of daily life. Some governments encourage their citizens to use certain applications to help control the spread of disease and to deliver other services during lockdown. The Saudi government has launched several mobile apps to control the pandemic and have made these apps available through Google Play and the app store. A huge number of reviews are written daily by users to express their opinions, which include significant information to improve these applications. The manual processing and extracting of information… More >

  • Open Access

    ARTICLE

    User Role Discovery and Optimization Method Based on K-means++ and Reinforcement Learning in Mobile Applications

    Yuanbang Li*, Wengang Zhou, Chi Xu, Yuchun Shi

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1365-1386, 2022, DOI:10.32604/cmes.2022.019656

    Abstract With the widespread use of mobile phones, users can share their location and activity anytime, anywhere, as a form of check-in data. These data reflect user features. Long-term stability and a set of user-shared features can be abstracted as user roles. This role is closely related to the users’ social background, occupation, and living habits. This study makes four main contributions to the literature. First, user feature models from different views for each user are constructed from the analysis of the check-in data. Second, the K-means algorithm is used to discover user roles from user… More >

  • Open Access

    ARTICLE

    Content Feature Extraction-based Hybrid Recommendation for Mobile Application Services

    Chao Ma1,*, Yinggang Sun1, Zhenguo Yang1, Hai Huang1, Dongyang Zhan2,3, Jiaxing Qu4

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 6201-6217, 2022, DOI:10.32604/cmc.2022.022717

    Abstract The number of mobile application services is showing an explosive growth trend, which makes it difficult for users to determine which ones are of interest. Especially, the new mobile application services are emerge continuously, most of them have not be rated when they need to be recommended to users. This is the typical problem of cold start in the field of collaborative filtering recommendation. This problem may makes it difficult for users to locate and acquire the services that they actually want, and the accuracy and novelty of service recommendations are also difficult to satisfy… More >

  • Open Access

    ARTICLE

    Predicting Mobile Cross-Platform Adaptation Using a Hybrid Sem–ANN Approach

    Ali Alkhalifah*

    Computer Systems Science and Engineering, Vol.42, No.2, pp. 639-658, 2022, DOI:10.32604/csse.2022.022519

    Abstract Owing to constant changes in user needs, new technologies have been introduced to keep pace by building sustainable applications. Researchers and practitioners are keen to understand the factors that create an attractive user interface. Although the use of cross-platform applications and services is increasing, limited research has examined and evaluated cross-platforms for developing mobile applications for different operating systems. This study evaluates cross-platform features, identifying the main factors that help to create an attractive user adaptation when building sustainable applications for both Android and iOS. Flutter and React Native were selected so end-users could test… More >

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