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Research Article

BEST PAPER 2021

Artificial Intelligence and Big Data in Entrepreneurship


Submission Deadline: 19 January 2021 (closed)

Abstract

This article has no abstract.

Keywords

Entrepreneurship models, AI analytic tools, big data, cognitive mechanism, decision-making process.
  • Research Article

    BEST PAPER 2021

    Bitcoin Candlestick Prediction with Deep Neural Networks Based on Real Time Data

    Reem K. Alkhodhairi1, Shahad R. Aljalhami1, Norah K. Rusayni1, Jowharah F. Alshobaili1, Amal A. Al-Shargabi1,*, Abdulatif Alabdulatif2 CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3215-3233, 2021, DOI:10.32604/cmc.2021.016881
    Abstract Currently, Bitcoin is the world’s most popular cryptocurrency. The price of Bitcoin is extremely volatile, which can be described as high-benefit and high-risk. To minimize the risk involved, a means of more accurately predicting the Bitcoin price is required. Most of the existing studies of Bitcoin prediction are based on historical (i.e., benchmark) data, without considering the real-time (i.e., live) data. To mitigate the issue of price volatility and achieve more precise outcomes, this study suggests using historical and real-time data to predict the Bitcoin candlestick—or open, high, low, and close (OHLC)—prices. Seeking a better prediction model, the present study… More >

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  • Research Article

    BEST PAPER 2021

    Eye Gaze Detection Based on Computational Visual Perception and Facial Landmarks

    Debajit Datta1, Pramod Kumar Maurya1, Kathiravan Srinivasan2, Chuan-Yu Chang3,*, Rishav Agarwal1, Ishita Tuteja1, V. Bhavyashri Vedula1 CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2545-2561, 2021, DOI:10.32604/cmc.2021.015478
    Abstract The pandemic situation in 2020 brought about a ‘digitized new normal’ and created various issues within the current education systems. One of the issues is the monitoring of students during online examination situations. A system to determine the student’s eye gazes during an examination can help to eradicate malpractices. In this work, we track the users’ eye gazes by incorporating twelve facial landmarks around both eyes in conjunction with computer vision and the HAAR classifier. We aim to implement eye gaze detection by considering facial landmarks with two different Convolutional Neural Network (CNN) models, namely the AlexNet model and the… More >

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  • Research Article

    BEST PAPER 2021

    Recommender System for Configuration Management Process of Entrepreneurial Software Designing Firms

    Muhammad Wajeeh Uz Zaman1, Yaser Hafeez1, Shariq Hussain2, Haris Anwaar3, Shunkun Yang4,*, Sadia Ali1, Aaqif Afzaal Abbasi2, Oh-Young Song5 CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2373-2391, 2021, DOI:10.32604/cmc.2021.015112
    Abstract The rapid growth in software demand incentivizes software development organizations to develop exclusive software for their customers worldwide. This problem is addressed by the software development industry by software product line (SPL) practices that employ feature models. However, optimal feature selection based on user requirements is a challenging task. Thus, there is a requirement to resolve the challenges of software development, to increase satisfaction and maintain high product quality, for massive customer needs within limited resources. In this work, we propose a recommender system for the development team and clients to increase productivity and quality by utilizing historical information and… More >

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  • Research Article

    BEST PAPER 2021

    Social Media and Stock Market Prediction: A Big Data Approach

    Mazhar Javed Awan1,2,*, Mohd Shafry Mohd Rahim2, Haitham Nobanee3,4,5, Ashna Munawar2, Awais Yasin6, Azlan Mohd Zain 7 CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2569-2583, 2021, DOI:10.32604/cmc.2021.014253
    Abstract Big data is the collection of large datasets from traditional and digital sources to identify trends and patterns. The quantity and variety of computer data are growing exponentially for many reasons. For example, retailers are building vast databases of customer sales activity. Organizations are working on logistics financial services, and public social media are sharing a vast quantity of sentiments related to sales price and products. Challenges of big data include volume and variety in both structured and unstructured data. In this paper, we implemented several machine learning models through Spark MLlib using PySpark, which is scalable, fast, easily integrated… More >

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  • Research Article

    BEST PAPER 2021

    An Efficient Sound and Data Steganography Based Secure Authentication System

    Debajit Datta1, Lalit Garg2,*, Kathiravan Srinivasan3, Atsushi Inoue4, G. Thippa Reddy3, M. Praveen Kumar Reddy3, K. Ramesh5, Nidal Nasser6 CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 723-751, 2021, DOI:10.32604/cmc.2021.014802
    Abstract The prodigious advancements in contemporary technologies have also brought in the situation of unprecedented cyber-attacks. Further, the pin-based security system is an inadequate mechanism for handling such a scenario. The reason is that hackers use multiple strategies for evading security systems and thereby gaining access to private data. This research proposes to deploy diverse approaches for authenticating and securing a connection amongst two devices/gadgets via sound, thereby disregarding the pins’ manual verification. Further, the results demonstrate that the proposed approaches outperform conventional pin-based authentication or QR authentication approaches. Firstly, a random signal is encrypted, and then it is transformed into… More >

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  • Research Article

    BEST PAPER 2021

    An LSTM Based Forecasting for Major Stock Sectors Using COVID Sentiment

    Ayesha Jabeen1, Sitara Afzal1, Muazzam Maqsood1, Irfan Mehmood2, Sadaf Yasmin1, Muhammad Tabish Niaz3, Yunyoung Nam4,* CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1191-1206, 2021, DOI:10.32604/cmc.2021.014598
    Abstract Stock market forecasting is an important research area, especially for better business decision making. Efficient stock predictions continue to be significant for business intelligence. Traditional short-term stock market forecasting is usually based on historical market data analysis such as stock prices, moving averages, or daily returns. However, major events’ news also contains significant information regarding market drivers. An effective stock market forecasting system helps investors and analysts to use supportive information regarding the future direction of the stock market. This research proposes an efficient model for stock market prediction. The current proposed study explores the positive and negative effects of… More >

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  • Research Article

    BEST PAPER 2021

    SwCS: Section-Wise Content Similarity Approach to Exploit Scientific Big Data

    Kashif Irshad1, Muhammad Tanvir Afzal2, Sanam Shahla Rizvi3, Abdul Shahid4, Rabia Riaz5, Tae-Sun Chung6,* CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 877-894, 2021, DOI:10.32604/cmc.2021.014156
    Abstract The growing collection of scientific data in various web repositories is referred to as Scientific Big Data, as it fulfills the four “V’s” of Big Data–-volume, variety, velocity, and veracity. This phenomenon has created new opportunities for startups; for instance, the extraction of pertinent research papers from enormous knowledge repositories using certain innovative methods has become an important task for researchers and entrepreneurs. Traditionally, the content of the papers are compared to list the relevant papers from a repository. The conventional method results in a long list of papers that is often impossible to interpret productively. Therefore, the need for… More >

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