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  • Open Access


    Appearance Based Dynamic Hand Gesture Recognition Using 3D Separable Convolutional Neural Network

    Muhammad Rizwan1,*, Sana Ul Haq1,*, Noor Gul1,2, Muhammad Asif1, Syed Muslim Shah3, Tariqullah Jan4, Naveed Ahmad5

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1213-1247, 2023, DOI:10.32604/cmc.2023.038211

    Abstract Appearance-based dynamic Hand Gesture Recognition (HGR) remains a prominent area of research in Human-Computer Interaction (HCI). Numerous environmental and computational constraints limit its real-time deployment. In addition, the performance of a model decreases as the subject’s distance from the camera increases. This study proposes a 3D separable Convolutional Neural Network (CNN), considering the model’s computational complexity and recognition accuracy. The 20BN-Jester dataset was used to train the model for six gesture classes. After achieving the best offline recognition accuracy of 94.39%, the model was deployed in real-time while considering the subject’s attention, the instant of… More >

  • Open Access


    A Novel Integrated Learning Scheme for Predictive Diagnosis of Critical Care Patient

    Sarika R. Khope1, Susan Elias2,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2333-2350, 2022, DOI:10.32604/cmc.2022.029423

    Abstract Machine learning has proven to be one of the efficient solutions for analyzing complex data to perform identification and classification. With a large number of learning tools and techniques, the health section has significantly benefited from solving the diagnosis problems. This paper has reviewed some of the recent scientific implementations on learning-based schemes to find that existing studies of learning have mainly focused on predictive analysis with less emphasis on preprocessing and more inclination towards adopting sophisticated learning schemes that offer higher accuracy at the cost of the higher computational burden. Therefore, the proposed method… More >

  • Open Access


    Field Programmable Gate Arrays (FPGA) Based Computational Complexity Analysis of Multicarrier Waveforms

    C. Ajitha1,*, T. Jaya2

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1033-1048, 2022, DOI:10.32604/iasc.2022.021984

    Abstract Multicarrier waveforms with enhanced spectral efficiency, low latency, and high throughput are required for 5G wireless networks. The Orthogonal Frequency Division Multiplexing (OFDM) method is well-known in research, but due to its limited spectral efficiency, various alternative waveforms are being considered for 5G systems. In the recent communication world, NOMA (non-orthogonal multiple access) plays a significant part due to its wider transmission of data with less bandwidth allocation. Even if a high data rate can be attained, the transmission problem will arise due to the spread of multiple paths. In order to reduce complexity and… More >

  • Open Access


    Two-Machine Hybrid Flow-Shop Problems in Shared Manufacturing

    Qi Wei*, Yong Wu

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 1125-1146, 2022, DOI:10.32604/cmes.2022.019754

    Abstract In the “shared manufacturing” environment, based on fairness, shared manufacturing platforms often require manufacturing service enterprises to arrange production according to the principle of “order first, finish first” which leads to a series of scheduling problems with fixed processing sequences. In this paper, two two-machine hybrid flow-shop problems with fixed processing sequences are studied. Each job has two tasks. The first task is flexible, which can be processed on either of the two machines, and the second task must be processed on the second machine after the first task is completed. We consider two objective… More >

  • Open Access


    Bit Rate Reduction in Cloud Gaming Using Object Detection Technique

    Daniyal Baig1, Tahir Alyas1, Muhammad Hamid2, Muhammad Saleem3, Saadia Malik4, Nadia Tabassum5,*, Natash Ali Mian6

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3653-3669, 2021, DOI:10.32604/cmc.2021.017948

    Abstract The past two decades witnessed a broad-increase in web technology and on-line gaming. Enhancing the broadband confinements is viewed as one of the most significant variables that prompted new gaming technology. The immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud servers. As internet capabilities are enhanced new ways of gaming are being used to improve the gaming experience. In cloud-based video gaming, game engines are hosted in cloud gaming data centers, and compressed gaming scenes are rendered… More >

  • Open Access


    A Secure Visual Secret Sharing Scheme with Authentication Based on QR Code

    Xinwei Zhong*, Lizhi Xiong, Zhihua Xia

    Journal on Big Data, Vol.3, No.2, pp. 85-95, 2021, DOI:10.32604/jbd.2021.018618

    Abstract With the rise of the Internet of Things (IoT), various devices in life and industry are closely linked. Because of its high payload, stable error correction capability, and convenience in reading and writing, Quick Response (QR) code has been widely researched in IoT. However, the security of privacy data in IoT is also a very important issue. At the same time, because IoT is developing towards low-power devices in order to be applied to more fields, the technology protecting the security of private needs to have the characteristics of low computational complexity. Visual Secret Sharing… More >

  • Open Access


    Prediction of Intrinsically Disordered Proteins with a Low Computational Complexity Method

    Jia Yang1, Haiyuan Liu1,*, Hao He2

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 111-123, 2020, DOI:10.32604/cmes.2020.010347

    Abstract The prediction of intrinsically disordered proteins is a hot research area in bio-information. Due to the high cost of experimental methods to evaluate disordered regions of protein sequences, it is becoming increasingly important to predict those regions through computational methods. In this paper, we developed a novel scheme by employing sequence complexity to calculate six features for each residue of a protein sequence, which includes the Shannon entropy, the topological entropy, the sample entropy and three amino acid preferences including Remark 465, Deleage/Roux, and Bfactor(2STD). Particularly, we introduced the sample entropy for calculating time series… More >

  • Open Access


    Grey Wolf Optimizer to Real Power Dispatch with Non-Linear Constraints

    G. R. Venkatakrishnan1,*, R. Rengaraj2, S. Salivahanan3

    CMES-Computer Modeling in Engineering & Sciences, Vol.115, No.1, pp. 25-45, 2018, DOI:10.3970/cmes.2018.115.025

    Abstract A new and efficient Grey Wolf Optimization (GWO) algorithm is implemented to solve real power economic dispatch (RPED) problems in this paper. The nonlinear RPED problem is one the most important and fundamental optimization problem which reduces the total cost in generating real power without violating the constraints. Conventional methods can solve the ELD problem with good solution quality with assumptions assigned to fuel cost curves without which these methods lead to suboptimal or infeasible solutions. The behavior of grey wolves which is mimicked in the GWO algorithm are leadership hierarchy and hunting mechanism. The More >

  • Open Access


    Optimization Algorithm for Reduction the Size of Dixon Resultant Matrix: A Case Study on Mechanical Application

    Shang Zhang1, *, Seyedmehdi Karimi2, Shahaboddin Shamshirband3, 4, *, Amir Mosavi5,6

    CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 567-583, 2019, DOI:10.32604/cmc.2019.02795

    Abstract In the process of eliminating variables in a symbolic polynomial system, the extraneous factors are referred to the unwanted parameters of resulting polynomial. This paper aims at reducing the number of these factors via optimizing the size of Dixon matrix. An optimal configuration of Dixon matrix would lead to the enhancement of the process of computing the resultant which uses for solving polynomial systems. To do so, an optimization algorithm along with a number of new polynomials is introduced to replace the polynomials and implement a complexity analysis. Moreover, the monomial multipliers are optimally positioned More >

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