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  • Open Access

    ARTICLE

    Deep-piRNA: Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features

    Salman Khan1, Mukhtaj Khan1,2, Nadeem Iqbal1, Mohd Amiruddin Abd Rahman3,*, Muhammad Khalis Abdul Karim3

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2243-2258, 2022, DOI:10.32604/cmc.2022.022901 - 29 March 2022

    Abstract Piwi-interacting Ribonucleic acids (piRNAs) molecule is a well-known subclass of small non-coding RNA molecules that are mainly responsible for maintaining genome integrity, regulating gene expression, and germline stem cell maintenance by suppressing transposon elements. The piRNAs molecule can be used for the diagnosis of multiple tumor types and drug development. Due to the vital roles of the piRNA in computational biology, the identification of piRNAs has become an important area of research in computational biology. This paper proposes a two-layer predictor to improve the prediction of piRNAs and their function using deep learning methods. The More >

  • Open Access

    ARTICLE

    Dynamic Encryption and Secure Transmission of Terminal Data Files

    Ruchun Jia1,*, Yang Xin2, Bo Liu3, Qin Qin4

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1221-1232, 2022, DOI:10.32604/cmc.2022.019318 - 03 November 2021

    Abstract Data is the last defense line of security, in order to prevent data loss, no matter where the data is stored, copied or transmitted, it is necessary to accurately detect the data type, and further clarify the form and encryption structure of the data transmission process to ensure the accuracy of the data, so as to prevent data leakage, take the data characteristics as the core, use transparent encryption and decryption technology as the leading, and According to the data element characteristics such as identity authentication, authority management, outgoing management, file audit and external device… More >

  • Open Access

    ARTICLE

    Multifactorial Disease Detection Using Regressive Multi-Array Deep Neural Classifier

    D. Venugopal1, T. Jayasankar2,*, N. Krishnaraj3, S. Venkatraman4, N. B. Prakash5, G. R. Hemalakshmi5

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 27-38, 2021, DOI:10.32604/iasc.2021.015205 - 17 March 2021

    Abstract Comprehensive evaluation of common complex diseases associated with common gene mutations is currently a hot area of human genome research into causative new developments. A multi-fractal analysis of the genome is performed by placing the entire DNA sequence into smaller fragments and using the chaotic game representation and systematic methods to calculate the general dimensional spectrum of each fragment. This is a time consuming process as it uses floating point to represent large data sets and requires processing time. The proposed Regressive Multi-Array Deep Neural Classifier (RMDNC) system is implemented to reduce the computation time,… More >

  • Open Access

    ARTICLE

    Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

    Gulzar Ahmad1, Saad Alanazi2, Madallah Alruwaili2, Fahad Ahmad3,6, Muhammad Adnan Khan4,*, Sagheer Abbas1, Nadia Tabassum5

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2585-2600, 2021, DOI:10.32604/cmc.2021.015080 - 05 February 2021

    Abstract Security is a significant issue for everyone due to new and creative ways to commit cybercrime. The Closed-Circuit Television (CCTV) systems are being installed in offices, houses, shopping malls, and on streets to protect lives. Operators monitor CCTV; however, it is difficult for a single person to monitor the actions of multiple people at one time. Consequently, there is a dire need for an automated monitoring system that detects a person with ammunition or any other harmful material Based on our research and findings of this study, we have designed a new Intelligent Ammunition Detection… More >

  • Open Access

    ARTICLE

    FINITE ELEMENT STUDY OF DDNC IN BOTTOM HEATED ENCLOSURES WITH MASS DIFFUSIVE SIDE WALLS

    Nithish Reddy* , K. Murugesan

    Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-11, 2017, DOI:10.5098/hmt.8.7

    Abstract In this paper DDNC phenomenon in a bottom heated enclosure exposed to mass diffusion from its side walls is investigated numerically. The interplay between thermal and solutal buoyancy forces on fluid circulation and heat transfer rates is studied in three different enclosures of aspect ratios 0.5, 1.0 and 2.0. Finite element base numerical code has used to solve the governing equations, here velocity and vorticity are taken as primary variables for flow field. Numerical results are well validated with that of the literature. The relative strength of solutal to thermal buoyancy forces is defined by… More >

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