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  • Open Access

    ARTICLE

    Detection of COVID-19 Enhanced by a Deep Extreme Learning Machine

    Aaqib Inam1,*, Zhuli1, Ayesha Sarwar1, Salah-ud-din2, Ayesha Atta3, Iftikhar Naaseer4, Shahan Yamin Siddiqui5,6, Muhammad Adnan Khan7

    Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 701-712, 2021, DOI:10.32604/iasc.2021.014235 - 01 March 2021

    Abstract The outbreak of coronavirus disease 2019 (COVID-19) has had a tremendous effect on daily life and a great impact on the economy of the world. More than 200 countries have been affected. The diagnosis of coronavirus is a major challenge for medical experts. Early detection is one of the most effective ways to reduce the mortality rate and increase the chance of successful treatment. At this point in time, no antiviral drugs have been approved for use, and clinically approved vaccines have only recently become available in some countries. Hybrid artificial intelligence computer-aided systems for… More >

  • Open Access

    ARTICLE

    Improved Hybrid Beamforming for mmWave Multi-User Massive MIMO

    Ji-Sung Jung1, Won-Seok Lee1, Yeong-Rong Lee1, Jaeho Kim2, Hyoung-Kyu Song1,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3057-3070, 2021, DOI:10.32604/cmc.2021.015673 - 01 March 2021

    Abstract Massive multiple input multiple output (MIMO) has become essential for the increase of capacity as the millimeter-wave (mmWave) communication is considered. Also, hybrid beamforming systems have been studied since full-digital beamforming is impractical due to high cost and power consumption of the radio frequency (RF) chains. This paper proposes a hybrid beamforming scheme to improve the spectral efficiency for multi-user MIMO (MU-MIMO) systems. In a frequency selective fading environment, hybrid beamforming schemes suffer from performance degradation since the analog precoder performs the same precoding for all subcarriers. To mitigate performance degradation, this paper uses the… More >

  • Open Access

    ARTICLE

    An Efficient Genetic Hybrid PAPR Technique for 5G Waveforms

    Arun Kumar1, Mahmoud A. Albreem2, Mohammed H. Alsharif3, Abu Jahid4, Peerapong Uthansakul5,*, Jamel Nebhen6

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3283-3292, 2021, DOI:10.32604/cmc.2021.015470 - 01 March 2021

    Abstract Non-orthogonal multiple access (NOMA) is a strong contender multicarrier waveform technique for the fifth generation (5G) communication system. The high peak-to-average power ratio (PAPR) is a serious concern in designing the NOMA waveform. However, the arrangement of NOMA is different from the orthogonal frequency division multiplexing. Thus, traditional reduction methods cannot be applied to NOMA. A partial transmission sequence (PTS) is commonly utilized to minimize the PAPR of the transmitting NOMA symbol. The choice phase aspect in the PTS is the only non-linear optimization obstacle that creates a huge computational complication due to the respective… More >

  • Open Access

    ARTICLE

    Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study

    Mohamed Abdel-Basset1, Rehab Mohamed1, Mohamed Elhoseny2, Mohamed Abouhawash2,3, Yunyoung Nam4,*, Nabil M. AbdelAziz1

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2729-2746, 2021, DOI:10.32604/cmc.2021.015316 - 01 March 2021

    Abstract Evaluation of commercial banks (CBs) performance has been a significant issue in the financial world and deemed as a multi-criteria decision making (MCDM) model. Numerous research assesses CB performance according to different metrics and standers. As a result of uncertainty in decision-making problems and large economic variations in Egypt, this research proposes a plithogenic based model to evaluate Egyptian commercial banks’ performance based on a set of criteria. The proposed model evaluates the top ten Egyptian commercial banks based on three main metrics including financial, customer satisfaction, and qualitative evaluation, and 19 sub-criteria. The proportional… More >

  • Open Access

    ARTICLE

    Design and Optimization of a Hybrid Energy System for Decentralized Heating

    Ling Cheng1,2,3,*, Bingqing Guo1,2, Kecheng Li1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 49-70, 2021, DOI:10.32604/fdmp.2021.011062 - 09 February 2021

    Abstract The performances of a hybrid energy system for decentralized heating are investigated. The proposed energy system consists of a solar collector, an air-source heat pump, a gas-fired boiler and a hot water tank. A mathematical model is developed to predict the operating characteristics of the system. The simulation results are compared with experimental data. Such a comparison indicates that the model accuracy is sufficient. The influence of the flat plate solar collector area on the economic and energy efficiency of such system is also evaluated through numerical simulations. Finally, this system is optimized using the More >

  • Open Access

    ARTICLE

    Modeling and Simulation of a Hybrid Jet-Impingement/Micro-Channel Heat Sink

    Taidong Xu1,2, Hao Liu2, Dejun Zhang1,2, Yadong Li2, Xiaoming Zhou2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 109-121, 2021, DOI:10.32604/fdmp.2021.010608 - 09 February 2021

    Abstract With the progressive increase in the number of transistors that can be accommodated on a single integrated circuit, new strategies are needed to extract heat from these devices in an efficient way. In this regard methods based on the combination of the so-called “jet impingement” and “micro-channel” approaches seem extremely promising for possible improvement and future applications in electronics as well as the aerospace and biomedical fields. In this paper, a hybrid heat sink based on these two technologies is analysed in the frame of an integrated model. Dedicated CFD simulation of the coupled flow/temperature More >

  • Open Access

    ARTICLE

    Optimization of Factors Influencing Adventitious Rooting in Hybrid Larch

    Kuipeng Li1,2, Hua Han1, Yunhui Xie1, Xiaomei Sun1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 583-593, 2021, DOI:10.32604/phyton.2021.013912 - 07 February 2021

    Abstract Optimization of in vitro adventitious root induction contributes to the development of a large-scale production system of hybrid clone seedlings of larch (Larix spp.). We used orthogonal testing to investigate the factors that affect the rooting of hybrid larch shoots–activated carbon, vitamin B1, sucrose, glycine, glutamic acid (Glu), cysteine, pH, and induction time in the dark and indole-3-butyric acid (IBA). Variance analysis showed that the effects of sucrose concentration on rooting rate, survival rate, and average root number, pH on the average number of roots; and Glu on survival rate were all significant (p < 0.05) when More >

  • Open Access

    ARTICLE

    A Hybrid Artificial Intelligence Model for Skin Cancer Diagnosis

    V. Vidya Lakshmi1,*, J. S. Leena Jasmine2

    Computer Systems Science and Engineering, Vol.37, No.2, pp. 233-245, 2021, DOI:10.32604/csse.2021.015700 - 01 March 2021

    Abstract Melanoma or skin cancer is the most dangerous and deadliest disease. As the incidence and mortality rate of skin cancer increases worldwide, an automated skin cancer detection/classification system is required for early detection and prevention of skin cancer. In this study, a Hybrid Artificial Intelligence Model (HAIM) is designed for skin cancer classification. It uses diverse multi-directional representation systems for feature extraction and an efficient Exponentially Weighted and Heaped Multi-Layer Perceptron (EWHMLP) for the classification. Though the wavelet transform is a powerful tool for signal and image processing, it is unable to detect the intermediate More >

  • Open Access

    ARTICLE

    Overlapping Shadow Rendering for Outdoor Augmented Reality

    Naira Elazab1, Shaker El-Sappagh2,3, Ahmed Atwan4, Hassan Soliman1, Mohammed Elmogy1, Louai Alarabi5,*, Nagham Mekky1

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1915-1932, 2021, DOI:10.32604/cmc.2021.015067 - 05 February 2021

    Abstract Realism rendering methods of outdoor augmented reality (AR) is an interesting topic. Realism items in outdoor AR need advanced impacts like shadows, sunshine, and relations between unreal items. A few realistic rendering approaches were built to overcome this issue. Several of these approaches are not dealt with real-time rendering. However, the issue remains an active research topic, especially in outdoor rendering. This paper introduces a new approach to accomplish reality real-time outdoor rendering by considering the relation between items in AR regarding shadows in any place during daylight. The proposed method includes three principal stages… More >

  • Open Access

    ARTICLE

    Energy Management Control Strategy for Renewable Energy System Based on Spotted Hyena Optimizer

    Hegazy Rezk1,2,*, Ahmed Fathy3,4, Mokhtar Aly5,6, Mohamed N. Ibrahim7,8,9

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2271-2281, 2021, DOI:10.32604/cmc.2021.014590 - 05 February 2021

    Abstract Hydrocarbons, carbon monoxide and other pollutants from the transportation sector harm human health in many ways. Fuel cell (FC) has been evolving rapidly over the past two decades due to its efficient mechanism to transform the chemical energy in hydrogen-rich compounds into electrical energy. The main drawback of the standalone FC is its slow dynamic response and its inability to supply rapid variations in the load demand. Therefore, adding energy storage systems is necessary. However, to manage and distribute the power-sharing among the hybrid proton exchange membrane (PEM) fuel cell (FC), battery storage (BS), and… More >

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