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  • Open Access

    ARTICLE

    Recurrent Autoencoder Ensembles for Brake Operating Unit Anomaly Detection on Metro Vehicles

    Jaeyong Kang1, Chul-Su Kim2, Jeong Won Kang3, Jeonghwan Gwak1,4,5,6,*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1-14, 2022, DOI:10.32604/cmc.2022.023641 - 18 May 2022

    Abstract The anomaly detection of the brake operating unit (BOU) in the brake systems on metro vehicle is critical for the safety and reliability of the trains. On the other hand, current periodic inspection and maintenance are unable to detect anomalies in an early stage. Also, building an accurate and stable system for detecting anomalies is extremely difficult. Therefore, we present an efficient model that use an ensemble of recurrent autoencoders to accurately detect the BOU abnormalities of metro trains. This is the first proposal to employ an ensemble deep learning technique to detect BOU abnormalities… More >

  • Open Access

    ARTICLE

    Analysis of Cognitive Radio for LTE and 5G Waveforms

    Ramesh Ramamoorthy1, Himanshu Sharma2, A. Akilandeswari3, Nidhi Gour2, Arun Kumar4,*, Mehedi Masud5

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1207-1217, 2022, DOI:10.32604/csse.2022.024749 - 09 May 2022

    Abstract Spectrum sensing is one of the major concerns in reaching an efficient Quality of service (QOS) in the advanced mobile communication system. The advanced engineering sciences such as 5G, device 2 device communications (D2D), Internet of things (IoT), MIMO require a large spectrum for better service. Orthogonal frequency division multiplexing (OFDM) is not a choice in advanced radio due to the Cyclic Prefix (CP), wastage of the spectrum, and so on. Hence, it is important to explore the spectral efficient advanced waveform techniques and combine a cognitive radio (CR) with the 5G waveform to sense… More >

  • Open Access

    ARTICLE

    Performance Analysis of PTS PAPR Reduction Method for NOMA Waveform

    Himanshu Sharma1, Nidhi Gour1, Sumit Chakravarty2, Fahad Alraddady3, Mehedi Masud4, Rajneesh Pareek1, Arun Kumar5,*

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1367-1375, 2022, DOI:10.32604/iasc.2022.025655 - 03 May 2022

    Abstract Cellular systems utilize single and multicarrier waveforms for high-speed data transmission. The Fifth-Generation (5G) system proposes several techniques based on multicarrier waveforms. However, the Peak to Average Power Ratio (PAPR) is one of the significant concerns in advanced waveforms as it degrades the framework's efficiency. Non Orthogonal Multiple Access (NOMA) can provide massive connectivity, which is the crucial requirement of the Internet of Things (IoT). The 3rd generation tested NOMA applications in downlink and uplink transmission. However, NOMA uplink transmission in the power domain has performance degradation and is not considered a possible technique in 3rdMore >

  • Open Access

    ARTICLE

    Coronary Artery Anomalies in D-Transposition of the Great Artery Following Arterial Switch Operation

    Thita Pacharapakornpong, Jarupim Soongswang*, Chodchanok Vijarnsorn, Paweena Chungsomprasong, Kritvikrom Durongpisitkul, Prakul Chanthong, Supaluck Kanjanauthai

    Congenital Heart Disease, Vol.17, No.3, pp. 297-311, 2022, DOI:10.32604/chd.2022.019279 - 03 May 2022

    Abstract Background: The survival rate of patients following arterial switch operation (ASO) exceeds 95%, but coronary artery anomalies (CAA) contribute to a 2% incidence of sudden cardiac arrest later in life. Therefore, we aimed to assess abnormal findings of coronary arteries in post-ASO patients. Methods: Coronary computed tomography angiography (CCTA) is performed on post-ASO patients who meet institutional criteria. Intraoperative findings of coronary artery patterns were retrospectively reviewed and categorized using the Leiden classification system. Coronary artery anomalies were detected by CCTA and associations with coronary artery compromise were explored. Results: Forty-three patients who had CCTA with a… More >

  • Open Access

    ARTICLE

    A potential impact of A Disintegrin and Metalloproteinase DomainLike Protein Decysin-1 (ADAMDEC1) on clear cell renal cell carcinoma propagation

    MAGDALENA RUDZIŃSKA-RADECKA*

    BIOCELL, Vol.46, No.8, pp. 1893-1901, 2022, DOI:10.32604/biocell.2022.019724 - 22 April 2022

    Abstract Clear cell renal cell carcinoma (KIRC) is the most common and aggressive malignancy subtype of renal neoplasm that arises from proximal convoluted tubules. It is characterized by poor clinical outcomes and high mortality of patients due to the lack of specific biomarkers for varying stages of the disease and no effective treatment. Proteases are associated with the development of several malignant tumors in humans by their ability to degrade extracellular matrices, facilitating metastasis. Herein, differentially expressed genes in KIRC cases compared to healthy kidneys were screened out from the Gene Expression Profiling Interactive Analysis (GEPIA)… More >

  • Open Access

    REVIEW

    Translational aspects of the modern genetics in head and neck cancers

    FRANCESCO PADUANO1,2,*, EMANUELA ALTOMARE2,3, BENEDETTA MARRELLI1, VINCENZO DATTILO4, HAIZAL MOHD HUSSAINI5, PAUL ROY COOPER5, MARCO TATULLO6

    BIOCELL, Vol.46, No.8, pp. 1827-1835, 2022, DOI:10.32604/biocell.2022.020462 - 22 April 2022

    Abstract Oral Cancer (OC) is one of the most recurrent cancers in the head and neck squamous cancer (SCCHN) category. Recently, the genome-wide association studies (GWAS) have gained growing interest in the scientific community. GWAS have identified several pathways involved in the interactions among general risk factors and genomic variants affecting SCCHN. This systematic overview aims to critically evaluate the latest data reported within the scientific literature. The aim was to investigate the impact of genetic aspects on SCCHN onset and prognosis, involving other clinical and systemic co-factors. PubMed, Google Scholar, and Cancer Genetics Web databases More >

  • Open Access

    ARTICLE

    Subcarrier BD with Cooperative Communication for MIMO-NOMA System

    Jung-In Baik, Ji-Hwan Kim, Beom-Sik Shin, Ji-Hye Oh, Hyoung-Kyu Song*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5807-5821, 2022, DOI:10.32604/cmc.2022.028434 - 21 April 2022

    Abstract With the rapid evolution of Internet of things (IoT), many edge devices require simultaneous connection in 5G communication era. To afford massive data of IoT devices, multiple input multiple output non-orthogonal multiple access (MIMO-NOMA) method has been considered as a promising technology. However, there are numerous drawbacks due to error propagation and inter-user interferences. Therefore, proposed scheme aims to improve the reliability of the MIMO-NOMA system with digital beamforming and intra-cluster cooperative multi point (CoMP) to efficiently support IoT system. In the conventional MIMO-NOMA system, user entities are grouped into clusters. Block diagonalization (BD) is… More >

  • Open Access

    ARTICLE

    Power Allocation in NOMA-CR for 5G Enabled IoT Networks

    Mohammed Basheri1, Mohammad Haseeb Zafar1,2,3,*, Imran Khan3

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5515-5530, 2022, DOI:10.32604/cmc.2022.027532 - 21 April 2022

    Abstract In the power domain, non-orthogonal multiple access (NOMA) supports multiple users on the same time-frequency resources, assigns different transmission powers to different users, and differentiates users by user channel gains. Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC) is performed at the receiving end to demodulate the necessary user signals. In contrast to the orthogonal transmission method, the non-orthogonal method can achieve higher spectrum utilization. However, it will increase the receiver complexity. With… More >

  • Open Access

    ARTICLE

    An Efficient Stacked-LSTM Based User Clustering for 5G NOMA Systems

    S. Prabha Kumaresan1, Chee Keong Tan2,*, Yin Hoe Ng1

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6119-6140, 2022, DOI:10.32604/cmc.2022.027223 - 21 April 2022

    Abstract Non-orthogonal multiple access (NOMA) has been a key enabling technology for the fifth generation (5G) cellular networks. Based on the NOMA principle, a traditional neural network has been implemented for user clustering (UC) to maximize the NOMA system’s throughput performance by considering that each sample is independent of the prior and the subsequent ones. Consequently, the prediction of UC for the future ones is based on the current clustering information, which is never used again due to the lack of memory of the network. Therefore, to relate the input features of NOMA users and capture… More >

  • Open Access

    ARTICLE

    Two-Dimensional Projection-Based Wireless Intrusion Classification Using Lightweight EfficientNet

    Muhamad Erza Aminanto1,2,*, Ibnu Rifqi Purbomukti3, Harry Chandra2, Kwangjo Kim4

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5301-5314, 2022, DOI:10.32604/cmc.2022.026749 - 21 April 2022

    Abstract Internet of Things (IoT) networks leverage wireless communication protocols, which adversaries can exploit. Impersonation attacks, injection attacks, and flooding are several examples of different attacks existing in Wi-Fi networks. Intrusion Detection System (IDS) became one solution to distinguish those attacks from benign traffic. Deep learning techniques have been intensively utilized to classify the attacks. However, the main issue of utilizing deep learning models is projecting the data, notably tabular data, into an image. This study proposes a novel projection from wireless network attacks data into a grid-based image for feeding one of the Convolutional Neural… More >

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