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  • Open Access

    ARTICLE

    Spatial-Resolution Independent Object Detection Framework for Aerial Imagery

    Sidharth Samanta1, Mrutyunjaya Panda1, Somula Ramasubbareddy2, S. Sankar3, Daniel Burgos4,*

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1937-1948, 2021, DOI:10.32604/cmc.2021.014406

    Abstract Earth surveillance through aerial images allows more accurate identification and characterization of objects present on the surface from space and airborne platforms. The progression of deep learning and computer vision methods and the availability of heterogeneous multispectral remote sensing data make the field more fertile for research. With the evolution of optical sensors, aerial images are becoming more precise and larger, which leads to a new kind of problem for object detection algorithms. This paper proposes the “Sliding Region-based Convolutional Neural Network (SRCNN),” which is an extension of the Faster Region-based Convolutional Neural Network (RCNN) object detection framework to make… More >

  • Open Access

    ARTICLE

    Diagnosis of COVID-19 Infection Using Three-Dimensional Semantic Segmentation and Classification of Computed Tomography Images

    Javaria Amin1, Muhammad Sharif2, Muhammad Almas Anjum3, Yunyoung Nam4,*, Seifedine Kadry5, David Taniar6

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2451-2467, 2021, DOI:10.32604/cmc.2021.014199

    Abstract Coronavirus 19 (COVID-19) can cause severe pneumonia that may be fatal. Correct diagnosis is essential. Computed tomography (CT) usefully detects symptoms of COVID-19 infection. In this retrospective study, we present an improved framework for detection of COVID-19 infection on CT images; the steps include pre-processing, segmentation, feature extraction/fusion/selection, and classification. In the pre-processing phase, a Gabor wavelet filter is applied to enhance image intensities. A marker-based, watershed controlled approach with thresholding is used to isolate the lung region. In the segmentation phase, COVID-19 lesions are segmented using an encoder-/decoder-based deep learning model in which deepLabv3 serves as the bottleneck and… More >

  • Open Access

    ARTICLE

    Wave Propagation Model in a Human Long Poroelastic Bone under Effect of Magnetic Field and Rotation

    A. M. Abd-Alla1,*, Hanaa Abu-Zinadah2, S. M. Abo-Dahab3, J. Bouslimi4,5, M. Omri6

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1485-1504, 2021, DOI:10.32604/cmc.2021.012586

    Abstract This article is aimed at describing the way rotation and magnetic field affect the propagation of waves in an infinite poroelastic cylindrical bone. It offers a solution with an exact closed form. The authors got and examined numerically the general frequency equation for poroelastic bone. Moreover, they calculated the frequencies of poroelastic bone for different values of the magnetic field and rotation. Unlike the results of previous studies, the authors noticed little frequency dispersion in the wet bone. The proposed model will be applicable to wide-range parametric projects of bone mechanical response. Examining the vibration of surface waves in rotating… More >

  • Open Access

    ARTICLE

    Design, Implementation and Verification of Topology Network Architecture of Smart Home Tree

    Youbang Guan1,2, Bong Jun Choi3,*

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2399-2411, 2021, DOI:10.32604/cmc.2021.012365

    Abstract Smart home technology provides consumers with network connectivity, automation or enhanced services for home devices. With the Internet of Things era, a vast data flow makes business platforms have to own the same computing power to match their business services. It achieves computing power through implementing big data algorithms deployed in the cloud data center. However, because of the far long geographical distance between the client and the data center or the massive data capacity gap, potentially high latency and high packet loss will reduce the usability of smart home systems if service providers deploy all services in the cloud… More >

  • Open Access

    ARTICLE

    KSUTraffic: A Microscopic Traffic Simulator for Traffic Planning in Smart Cities

    Najla Al-Nabhan*, Maha AlDuhaim, Sarah AlHussan, Haifa Abdullah, Mnira AlHaid, Rawan AlDuhaishi

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1831-1845, 2021, DOI:10.32604/cmc.2021.012231

    Abstract Simulation is a powerful tool for improving, evaluating and analyzing the performance of new and existing systems. Traffic simulators provide tools for studying transportation systems in smart cities as they describe the evolution of traffic to the highest level of detail. There are many types of traffic simulators that allow simulating traffic in modern cities. The most popular traffic simulation approach is the microscopic traffic simulation because of its ability to model traffic in a realistic manner. In many cities of Saudi Arabia, traffic management represents a major challenge as a result of expansion in traffic demands and increasing number… More >

  • Open Access

    ARTICLE

    Modelling and Analysis of Bacteria Dependent Infectious Diseases with Variable Contact Rates

    J. B. Shukla1, Shikha Singh2, Jitendra Singh2, Sunil Kumar Sharma3,*

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1859-1875, 2021, DOI:10.32604/cmc.2021.012095

    Abstract In this research, we proposed a non-linear SIS model to study the effect of variable interaction rates and non-emigrating population of the human habitat on the spread of bacteria-infected diseases. It assumed that the growth of bacteria is logistic with an intrinsic growth rate is a linear function of infectives. In this model, we assume that contact rates between susceptibles and infectives as well as between susceptibles and bacteria depend on the density of the non-emigrating population and the total population of the habitat. The stability theory has been analyzed to analyzed to study the crucial role played by bacteria… More >

  • Open Access

    ARTICLE

    The Differences in Lower Extremity Joints Energy Dissipation Strategy during Landing between Athletes with Symptomatic Patellar Tendinopathy (PT) and without Patellar Tendinopathy (UPT)

    Datao Xu1, Zhenghui Lu1, Siqin Shen2, Gusztáv Fekete2, Ukadike C. Ugbolue3, Yaodong Gu1,*

    Molecular & Cellular Biomechanics, Vol.18, No.2, pp. 107-118, 2021, DOI:10.32604/mcb.2021.015453

    Abstract Patellar tendinopathy is a clinical symptom of patellar tendons characterized by local pain in the front of the knee joint. It is common among basketball and volleyball players. Patients with patellar tendinopathy may exhibit different landing strategies during landing compared to healthy individuals. The purpose of this study was to compare the differences in lower limb joint energy dissipation (eccentric work) values for the symptomatic patellar tendinopathy (PT) athletes and no patellar tendinopathy (UPT) athletes during single-leg landing. A total of 26 (PT: 13, UPT:13) semi-professional male basketball and volleyball player’s kinetic data were collected during the landing phases. Joint… More >

  • Open Access

    REVIEW

    Effect of Mechanical Forces on the Behavior of Dental Stem Cells: A Scoping Review of In-Vitro Studies

    Maryam Rezai Rad1, Sadra Mohaghegh2, Farnaz Kouhestani3, Saeed Reza Motamedian4,*

    Molecular & Cellular Biomechanics, Vol.18, No.2, pp. 51-67, 2021, DOI:10.32604/mcb.2021.015136

    Abstract This article is a scoping review of the studies that assessed the effect of mechanical forces on the behavior of dental stem cells (DSCs). PubMed and Scopus searches were done for in-vitro studies evaluating the effect of tension, hydrostatic pressure (i.e., the pressure applied through an incompressible fluid), compression, simulated microgravity, and vibration on DSCs. The following factors were analyzed: osteogenic/odontogenic differentiation, proliferation, adhesion and migration. Articles were reviewed according to the Preferred Reporting Items for Systematic Reviews extension for scoping reviews (PRISMA-ScR) guideline. Included studies were evaluated based on the modified Consolidated Standards of Reporting Trials (CONSORT). A total… More >

  • Open Access

    ARTICLE

    Study on the Effect of PNF Method on the Flexibility and Strength Quality of Stretching Muscles of Shoulder Joints of Swimmers

    Boqing Li, Xiaolong Bai, Yongli Zhu*

    Molecular & Cellular Biomechanics, Vol.18, No.2, pp. 99-105, 2021, DOI:10.32604/mcb.2021.014748

    Abstract In the process of swimming, the shoulder joint will be damaged when the arm is stroking. To reduce the injury of shoulder joints and improve the speed of stroke, it is necessary to train the flexibility of shoulder joints. This paper briefly introduced the concept of shoulder joint and flexibility and then explained the traditional stretching training method and proprioceptive neuromuscular facilitation (PNF) stretching method. Then, taking 20 college team swimmers of Yunnan University as the subjects, the comparative experiment of the traditional and PNF stretching methods was carried out. The results showed that the shoulder rotation index of the… More >

  • Open Access

    ARTICLE

    Motion Features of Legs in Volleyball Block Jump Based on Biomechanical Analysis

    Zilin Li, Junjiang Wang, Yan Yang*

    Molecular & Cellular Biomechanics, Vol.18, No.2, pp. 87-97, 2021, DOI:10.32604/mcb.2021.014731

    Abstract Blocking technology is one of the most important means to obtain score in volleyball, which has a great influence on the victory of the game. In this study, the vertical jump was analyzed to understand the movement characteristics of legs during training time. The kinematics and dynamics data of the legs of 10 volleyball players after training for 0 h, 0.5 h, 1 h and 2 h were studied by using an infrared light point motion capture system and force measuring platform. The results showed that the joint angles of the players who had 1 h and 2 h of… More >

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