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  • Open Access

    ARTICLE

    Numerical Examination of a Cavity Containing Nanofluid with an Upper Oscillating Wall and Baffle

    Kadhum Audaa Jehhef1, Ali J. Ali2, Salah H. Abid Aun1, Akram H. Abed3,*

    Frontiers in Heat and Mass Transfer, Vol.22, No.2, pp. 557-581, 2024, DOI:10.32604/fhmt.2024.047814 - 20 May 2024

    Abstract The cavity with lid-driven is greatly used in mixing, coating, and drying applications and is a substantial issue in the study of thermal performance rate and fluid field. A numerical approach is presented to study the thermal distribution and passage of fluid in a lid-driven cavity with an upper oscillating surface and an attached baffle. The walls of a cavity at the left and right were maintained at 350 and 293 K, respectively. The upper oscillating surface was equipped with a variable height to baffle to increase the convection of the three kinds of TiO,… More >

  • Open Access

    ARTICLE

    Fortifying Healthcare Data Security in the Cloud: A Comprehensive Examination of the EPM-KEA Encryption Protocol

    Umi Salma Basha1, Shashi Kant Gupta2, Wedad Alawad3, SeongKi Kim4,*, Salil Bharany5,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3397-3416, 2024, DOI:10.32604/cmc.2024.046265 - 15 May 2024

    Abstract A new era of data access and management has begun with the use of cloud computing in the healthcare industry. Despite the efficiency and scalability that the cloud provides, the security of private patient data is still a major concern. Encryption, network security, and adherence to data protection laws are key to ensuring the confidentiality and integrity of healthcare data in the cloud. The computational overhead of encryption technologies could lead to delays in data access and processing rates. To address these challenges, we introduced the Enhanced Parallel Multi-Key Encryption Algorithm (EPM-KEA), aiming to bolster… More >

  • Open Access

    ARTICLE

    Numerical Examination of Free Convection Flow of Casson Ternary Hybrid Nanofluid across Magnetized Stretching Sheet Impacted by Newtonian Heating

    Mohammed Z. Swalmeh1,*, Firas A. Alwawi2, A. A. Altawallbeh3, Wejdan Mesa’adeen4, Feras M. Al Faqih4, Ahmad M. Awajan4

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 505-522, 2023, DOI:10.32604/fhmt.2023.044300 - 30 November 2023

    Abstract In current study, the influence of magnetic field (MHD) on heat transfer of natural convection boundary layer flow in Casson ternary hybrid nanofluid past a stretching sheet is studied using numerical simulation. The Newtonian heating boundary conditions that depend on the temperature and velocity terms are taken into this investigation. The particular dimensional governing equations, for the studied problem, are converted to the system of partial differential equations utilizing adequate similarity transformation. Consequently, the system of equations is numerically solved using well-known Kellar box numerical techniques. The obtained numerical results are in excellent approval with… More >

  • Open Access

    ARTICLE

    Automatic Examination of Condition of Used Books with YOLO-Based Object Detection Framework

    Sumin Hong1, Jin-Woo Jeong2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1611-1632, 2023, DOI:10.32604/csse.2023.038319 - 28 July 2023

    Abstract As the demand for used books has grown in recent years, various online/offline market platforms have emerged to support the trade in used books. The price of used books can depend on various factors, such as the state of preservation (i.e., condition), the value of possession, and so on. Therefore, some online platforms provide a reference document to evaluate the condition of used books, but it is still not trivial for individual sellers to determine the price. The lack of a standard quantitative method to assess the condition of the used book would confuse both… More >

  • Open Access

    ARTICLE

    Examination of the Illness Representations among Children with T1DM in Relation to Mental Health Factors

    Brigitta Munkácsi1,*, Enikő Felszeghy1, Flóra Kenyhercz2, Beáta Erika Nagy1

    International Journal of Mental Health Promotion, Vol.25, No.8, pp. 961-969, 2023, DOI:10.32604/ijmhp.2023.027319 - 06 July 2023

    Abstract The most common comorbid psychiatric disorders in children with type 1 diabetes mellitus (T1DM) are depression, anxiety and behavioral disorders. Patients with comorbid psychopathology are less capable of psychically adjusting to the new life situation resulting from T1DM, which may negatively affect glycemic control and adherence related to the treatment. We aimed to investigate the association between mental health and type 1 diabetes including illness representation. 115 children and adolescents with T1DM were recruited through the outpatient clinic in Debrecen, Hungary. Measures: PRISM-D, Child Depression Inventory (CDI), Cantril Ladder and Self-Rated Health, Glycosylaeted haemoglobin (HbA1C) More > Graphic Abstract

    Examination of the Illness Representations among Children with T1DM in Relation to Mental Health Factors

  • Open Access

    ARTICLE

    ISHD: Intelligent Standing Human Detection of Video Surveillance for the Smart Examination Environment

    Wu Song1, Yayuan Tang2,3,*, Wenxue Tan1, Sheng Ren1

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 509-526, 2023, DOI:10.32604/cmes.2023.026933 - 23 April 2023

    Abstract In the environment of smart examination rooms, it is important to quickly and accurately detect abnormal behavior (human standing) for the construction of a smart campus. Based on deep learning, we propose an intelligent standing human detection (ISHD) method based on an improved single shot multibox detector to detect the target of standing human posture in the scene frame of exam room video surveillance at a specific examination stage. ISHD combines the MobileNet network in a single shot multibox detector network, improves the posture feature extractor of a standing person, merges prior knowledge, and introduces More >

  • Open Access

    ARTICLE

    The IOMT-Based Risk-Free Approach to Lung Disorders Detection from Exhaled Breath Examination

    Mohsin Ghani, Ghulam Gilanie*

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2835-2847, 2023, DOI:10.32604/iasc.2023.034857 - 15 March 2023

    Abstract The lungs are the main fundamental part of the human respiratory system and are among the major organs of the human body. Lung disorders, including Coronavirus (Covid-19), are among the world’s deadliest and most life-threatening diseases. Early and social distance-based detection and treatment can save lives as well as protect the rest of humanity. Even though X-rays or Computed Tomography (CT) scans are the imaging techniques to analyze lung-related disorders, medical practitioners still find it challenging to analyze and identify lung cancer from scanned images. unless COVID-19 reaches the lungs, it is unable to be… More >

  • Open Access

    ARTICLE

    EXAMINATION OF CONVECTIVE HEAT TRANSFER AND ENTROPY GENERATION BY TWO ADIABATIC OBSTACLES INSIDE A CAVITY AT DIFFERENT INCLINATION ANGLES

    Olanrewaju M. Oyewolaa,b,*, Samuel I. Afolabib

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-8, 2022, DOI:10.5098/hmt.19.20

    Abstract This paper investigates numerically the problem of convective heat transfer and entropy generation by two adiabatic obstacles positioned inside a square cavity heated at the left wall and cooled on the right wall while horizontal walls are adiabatic. The inclination angle of the cavity orientation investigated are 30, 60 and 90 degrees. Rayleigh numbers ranging from 103 to 106 were calculated for two vertical obstacles. The method of Galerkin finite element was employed to solve the conservation equations of mass, momentum and energy. The cavity is assumed to be filled with air with Prandtl number More >

  • Open Access

    ARTICLE

    Examination of Pine Wilt Epidemic Model through Efficient Algorithm

    Ali Raza1,*, Emad E. Mahmoud2, A. M. Al-Bugami2, Dumitru Baleanu3,4, Muhammad Rafiq5, Muhammad Mohsin6, Muneerah Al Nuwairan7

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5293-5310, 2022, DOI:10.32604/cmc.2022.024535 - 14 January 2022

    Abstract Pine wilt is a dramatic disease that kills infected trees within a few weeks to a few months. The cause is the pathogen Pinewood Nematode. Most plant-parasitic nematodes are attached to plant roots, but pinewood nematodes are found in the tops of trees. Nematodes kill the tree by feeding the cells around the resin ducts. The modeling of a pine wilt disease is based on six compartments, including three for plants (susceptible trees, exposed trees, and infected trees) and the other for the beetles (susceptible beetles, exposed beetles, and infected beetles). The deterministic modeling, along More >

  • Open Access

    ARTICLE

    Automatic Unusual Activities Recognition Using Deep Learning in Academia

    Muhammad Ramzan1,2,*, Adnan Abid1, Shahid Mahmood Awan1,3

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1829-1844, 2022, DOI:10.32604/cmc.2022.017522 - 07 September 2021

    Abstract In the current era, automatic surveillance has become an active research problem due to its vast real-world applications, particularly for maintaining law and order. A continuous manual monitoring of human activities is a tedious task. The use of cameras and automatic detection of unusual surveillance activity has been growing exponentially over the last few years. Various computer vision techniques have been applied for observation and surveillance of real-world activities. This research study focuses on detecting and recognizing unusual activities in an academic situation such as examination halls, which may help the invigilators observe and restrict… More >

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