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  • Open Access

    ARTICLE

    A Robust Approach for Detection and Classification of KOA Based on BILSTM Network

    Abdul Qadir1, Rabbia Mahum1, Suliman Aladhadh2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1365-1384, 2023, DOI:10.32604/csse.2023.037033 - 28 July 2023

    Abstract A considerable portion of the population now experiences osteoarthritis of the knee, spine, and hip due to lifestyle changes. Therefore, early treatment, recognition and prevention are essential to reduce damage; nevertheless, this time-consuming activity necessitates a variety of tests and in-depth analysis by physicians. To overcome the existing challenges in the early detection of Knee Osteoarthritis (KOA), an effective automated technique, prompt recognition, and correct categorization are required. This work suggests a method based on an improved deep learning algorithm that makes use of data from the knee images after segmentation to detect KOA and… More >

  • Open Access

    ARTICLE

    Fire Hawk Optimizer with Deep Learning Enabled Human Activity Recognition

    Mohammed Alonazi1, Mrim M. Alnfiai2,*

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3135-3150, 2023, DOI:10.32604/csse.2023.034124 - 21 December 2022

    Abstract Human-Computer Interaction (HCI) is a sub-area within computer science focused on the study of the communication between people (users) and computers and the evaluation, implementation, and design of user interfaces for computer systems. HCI has accomplished effective incorporation of the human factors and software engineering of computing systems through the methods and concepts of cognitive science. Usability is an aspect of HCI dedicated to guaranteeing that human–computer communication is, amongst other things, efficient, effective, and sustaining for the user. Simultaneously, Human activity recognition (HAR) aim is to identify actions from a sequence of observations on… More >

  • Open Access

    ARTICLE

    Mobile Devices Interface Adaptivity Using Ontologies

    Muhammad Waseem Iqbal1, Muhammad Raza Naqvi2, Muhammad Adnan Khan3,4, Faheem Khan5, T. Whangbo5,*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4767-4784, 2022, DOI:10.32604/cmc.2022.023239 - 14 January 2022

    Abstract Currently, many mobile devices provide various interaction styles and modes which create complexity in the usage of interfaces. The context offers the information base for the development of Adaptive user interface (AUI) frameworks to overcome the heterogeneity. For this purpose, the ontological modeling has been made for specific context and environment. This type of philosophy states to the relationship among elements (e.g., classes, relations, or capacities etc.) with understandable satisfied representation. The context mechanisms can be examined and understood by any machine or computational framework with these formal definitions expressed in Web ontology language (WOL)/Resource… More >

  • Open Access

    ARTICLE

    An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles

    Mesfer Alrizq1, Shauban Ali Solangi2, Abdullah Alghamdi1,*, Muhammad Ali Nizamani2, Muhammad Ali Memon2, Mohammed Hamdi1

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 557-569, 2022, DOI:10.32604/csse.2022.018800 - 09 September 2021

    Abstract Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare (mHealthcare) services. A patient within the hospital is monitored by several devices. Moreover, upon leaving the hospital, the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health parameters. This raises potential challenges for intelligent monitoring of patient’s health. In this paper, an improved architecture for smart mHealthcare is proposed that is supported by HCI design principles. The HCI also provides the support for the… More >

  • Open Access

    ARTICLE

    Blind and Visually Impaired User Interface to Solve Accessibility Problems

    Azeem Shera1, Muhammad Waseem Iqbal2,*, Syed Khuram Shahzad3, Madeeha Gul1, Natash Ali Mian4, Muhammad Raza Naqvi5, Babar Ayub Khan1

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 285-301, 2021, DOI:10.32604/iasc.2021.018009 - 26 July 2021

    Abstract Blind and visually impaired (BVI) users often have interface accessibility problems while using mobile applications. This study was conducted to reduce the cognitive effort required for interface navigation by identifying the accessibility issues according to the user’s mental model. The study evaluated the accessibility of smartphone screens to solve organizational, presentation, and behavioral (OPB) problems of using mobile applications. Usability evaluation of an application was conducted and validated with a specific focus on BVI user experience. A total of 56 BVI participants were included in the evaluation. Overall, four tasks to assess organization, avoidance of… More >

  • Open Access

    ARTICLE

    Computer Vision Based Robotic Arm Controlled Using Interactive GUI

    Muhatasim Intisar1, Mohammad Monirujjaman Khan1,*, Mohammad Rezaul Islam1, Mehedi Masud2

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 533-550, 2021, DOI:10.32604/iasc.2021.015482 - 18 January 2021

    Abstract This paper presents the design and implementation of a robotic vision system operated using an interactive Graphical User Interface (GUI) application. As robotics continue to become a more integral part of the industrial complex, there is a need for automated systems that require minimal to no user training to operate. With this motivation in mind, the system is designed so that a beginner user can operate the device with very little instruction. The application allows users to determine their desired object, which will be picked up and placed by a robotic arm into the target… More >

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