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  • Open Access

    ARTICLE

    Educational Videos Subtitles’ Summarization Using Latent Dirichlet Allocation and Length Enhancement

    Sarah S. Alrumiah*, Amal A. Al-Shargabi

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6205-6221, 2022, DOI:10.32604/cmc.2022.021780

    Abstract Nowadays, people use online resources such as educational videos and courses. However, such videos and courses are mostly long and thus, summarizing them will be valuable. The video contents (visual, audio, and subtitles) could be analyzed to generate textual summaries, i.e., notes. Videos’ subtitles contain significant information. Therefore, summarizing subtitles is effective to concentrate on the necessary details. Most of the existing studies used Term Frequency–Inverse Document Frequency (TF-IDF) and Latent Semantic Analysis (LSA) models to create lectures’ summaries. This study takes another approach and applies Latent Dirichlet Allocation (LDA), which proved its effectiveness in document summarization. Specifically, the proposed… More >

  • Open Access

    ARTICLE

    An Intelligent Forecasting Model for Disease Prediction Using Stack Ensembling Approach

    Shobhit Verma1 , Nonita Sharma1 , Aman Singh2 , Abdullah Alharbi3 , Wael Alosaimi3 , Hashem Alyami4, Deepali Gupta5, Nitin Goyal5 ,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6041-6055, 2022, DOI:10.32604/cmc.2022.021747

    Abstract This research work proposes a new stack-based generalization ensemble model to forecast the number of incidences of conjunctivitis disease. In addition to forecasting the occurrences of conjunctivitis incidences, the proposed model also improves performance by using the ensemble model. Weekly rate of acute Conjunctivitis per 1000 for Hong Kong is collected for the duration of the first week of January 2010 to the last week of December 2019. Pre-processing techniques such as imputation of missing values and logarithmic transformation are applied to pre-process the data sets. A stacked generalization ensemble model based on Auto-ARIMA (Autoregressive Integrated Moving Average), NNAR (Neural… More >

  • Open Access

    ARTICLE

    Beamforming Performance Analysis of Millimeter-Wave 5G Wireless Networks

    Omar A. Saraereh*, Ashraf Ali

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5383-5397, 2022, DOI:10.32604/cmc.2022.021724

    Abstract With the rapid growth in the number of mobile devices and user connectivity, the demand for higher system capacity and improved quality-of-service is required. As the demand for high-speed wireless communication grows, numerous modulation techniques in the frequency, temporal, and spatial domains, such as orthogonal frequency division multiplexing (OFDM), time division multiple access (TDMA), space division multiple access (SDMA), and multiple-input multiple-output (MIMO), are being developed. Along with those approaches, electromagnetic waves’ orbital angular momentum (OAM) is attracting attention because it has the potential to boost the wireless communication capacity. Antenna electromagnetic radiation can be described by a sum of… More >

  • Open Access

    ARTICLE

    Deep Learning Based Intelligent Industrial Fault Diagnosis Model

    R. Surendran1,*, Osamah Ibrahim Khalaf2, Carlos Andres Tavera Romero3

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6323-6338, 2022, DOI:10.32604/cmc.2022.021716

    Abstract In the present industrial revolution era, the industrial mechanical system becomes incessantly highly intelligent and composite. So, it is necessary to develop data-driven and monitoring approaches for achieving quick, trustable, and high-quality analysis in an automated way. Fault diagnosis is an essential process to verify the safety and reliability operations of rotating machinery. The advent of deep learning (DL) methods employed to diagnose faults in rotating machinery by extracting a set of feature vectors from the vibration signals. This paper presents an Intelligent Industrial Fault Diagnosis using Sailfish Optimized Inception with Residual Network (IIFD-SOIR) Model. The proposed model operates on… More >

  • Open Access

    ARTICLE

    An OWL-Based Specification of Database Management Systems

    Sabin C. Buraga1,*, Daniel Amariei1, Octavian Dospinescu2

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5537-5550, 2022, DOI:10.32604/cmc.2022.021714

    Abstract In the context of a proliferation of Database Management Systems (DBMSs), we have envisioned and produced an OWL 2 ontology able to provide a high-level machine-processable description of the DBMSs domain. This conceptualization aims to facilitate a proper execution of various software engineering processes and database-focused administration tasks. Also, it can be used to improve the decision-making process for determining/selecting the appropriate DBMS, subject to specific requirements. The proposed model describes the most important features and aspects regarding the DBMS domain, including the support for various paradigms (relational, graph-based, key-value, tree-like, etc.), query languages, platforms (servers), plus running environments (desktop,… More >

  • Open Access

    ARTICLE

    Robust Length of Stay Prediction Model for Indoor Patients

    Ayesha Siddiqa1, Syed Abbas Zilqurnain Naqvi1, Muhammad Ahsan1, Allah Ditta2, Hani Alquhayz3, M. A. Khan4, Muhammad Adnan Khan5,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5519-5536, 2022, DOI:10.32604/cmc.2022.021666

    Abstract Due to unforeseen climate change, complicated chronic diseases, and mutation of viruses’ hospital administration’s top challenge is to know about the Length of stay (LOS) of different diseased patients in the hospitals. Hospital management does not exactly know when the existing patient leaves the hospital; this information could be crucial for hospital management. It could allow them to take more patients for admission. As a result, hospitals face many problems managing available resources and new patients in getting entries for their prompt treatment. Therefore, a robust model needs to be designed to help hospital administration predict patients’ LOS to resolve… More >

  • Open Access

    ARTICLE

    Estimating Fuel-Efficient Air Plane Trajectories Using Machine Learning

    Jaiteg Singh1, Gaurav Goyal1, Farman Ali2, Babar Shah3, Sangheon Pack4,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6189-6204, 2022, DOI:10.32604/cmc.2022.021657

    Abstract Airline industry has witnessed a tremendous growth in the recent past. Percentage of people choosing air travel as first choice to commute is continuously increasing. Highly demanding and congested air routes are resulting in inadvertent delays, additional fuel consumption and high emission of greenhouse gases. Trajectory planning involves creation identification of cost-effective flight plans for optimal utilization of fuel and time. This situation warrants the need of an intelligent system for dynamic planning of optimized flight trajectories with least human intervention required. In this paper, an algorithm for dynamic planning of optimized flight trajectories has been proposed. The proposed algorithm… More >

  • Open Access

    ARTICLE

    Ultra-wideband Frequency Selective Surface for Communication Applications

    Shahid Habib1, Ghaffer Iqbal Kiani2, Muhammad Fasih Uddin Butt1,3,*, Syed Muzahir Abbas4,5, Abdulah Jeza Aljohani2, Soon Xin Ng3

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6177-6187, 2022, DOI:10.32604/cmc.2022.021644

    Abstract A low-profile ultra-wideband (UWB) band-stop frequency selective surface (FSS) is designed for S-, C-, X- and Ku-bands communication applications. The FSS is constructed by using square and circular loop elements printed on the top and bottom sides of the RO3210 substrate. The FSS has been designed to reduce the electromagnetic interference (EMI) as well as to mitigate the harmful effects of electromagnetic radiation on the human body caused by different radio devices. The dimension and size of the UWB FSS have been reduced to 0.12 λ × 0.12 λ and 90%, respectively, as compared to the reported literature. The other… More >

  • Open Access

    ARTICLE

    Estimating Usable-Security Through Hesitant Fuzzy Linguistic Term Sets Based Technique

    Abdulaziz Attaallah1, Raees Ahmad Khan2,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5683-5705, 2022, DOI:10.32604/cmc.2022.021643

    Abstract The apparent contradiction between usability and security has been discussed in the literature for several years. This continuous trade-off requires be acknowledging and handling whenever security solutions are introduced. However, some progressive analysts point out that present security solutions are usually very difficult for several users, and they have expressed a willingness to simplify the security product user experience. Usable security is still mostly unexplored territory in computer science. Which we are all aware with security and usability on many levels, usable security has received little operational attention. Companies have recently focused primarily on usable security. As consumers prefer to… More >

  • Open Access

    ARTICLE

    An Auction-Based Recommender System for Over-The-Top Platform

    Hameed AlQaheri1,*, Anjan Bandyopadhay2, Debolina Nath2, Shreyanta Kar2, Arunangshu Banerjee2

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5285-5304, 2022, DOI:10.32604/cmc.2022.021631

    Abstract In this era of digital domination, it is fit to say that individuals are more inclined towards viewership on online platforms due to the wide variety and the scope of individual preferences it provides. In the past few years, there has been a massive growth in the popularity of Over-The-Top platforms, with an increasing number of consumers adapting to them. The Covid-19 pandemic has also caused the proliferation of these services as people are restricted to their homes. Consumers are often in a dilemma about which subscription plan to choose, and this is where a recommendation system makes their task… More >

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