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Advances in Computational Intelligence and its Applications

Submission Deadline: 06 August 2021 (closed)

Guest Editors

Dr. C Kishor Kumar Reddy, Stanley College of Engineering & Technology for Women, India.
Dr. P R Anisha, Stanley College of Engineering and Technology for Women, India.
Dr. Nhu Gia Nguyen, Dean Graduate School, Duy Tan University, Vietnam.
Dr. L V Narasimha Prasad, Institute of Aeronautical Engineering, India.

Summary

The main aim of the special issue is to concentrate on incremental growth of Intelligent Computing in day to day life. This special issue attempts to create a foster new ideas and technical insights in the design and analysis of emerging intelligent computing systems and their scientific, engineering, and commercial applications. In particular, editors would like to focus on sustaining facile solutions using machine learning, artificial intelligence, neural networks, genetic algorithms, fuzzy systems and collaborative intelligence.

Keywords

Artificial Intelligence
Machine Learning
Neural Networks
Genetic Algorithms
Fuzzy Systems
Medical Imaging
Environment and Earth Sciences

Published Papers

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  • Open Access

    ARTICLE

    An Approximate Numerical Methods for Mathematical and Physical Studies for Covid-19 Models

    Hammad Alotaibi, Khaled A. Gepreel, Mohamed S. Mohamed, Amr M. S. Mahdy
    Computer Systems Science and Engineering, Vol.42, No.3, pp. 1147-1163, 2022, DOI:10.32604/csse.2022.020869
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract The advancement in numerical models of serious resistant illnesses is a key research territory in different fields including the nature and the study of disease transmission. One of the aims of these models is to comprehend the elements of conduction of these infections. For the new strain of Covid-19 (Coronavirus), there has been no immunization to protect individuals from the virus and to forestall its spread so far. All things being equal, control procedures related to medical services, for example, social distancing or separation, isolation, and travel limitations can be adjusted to control this pandemic. This article reveals some insights… More >

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  • Open Access

    ARTICLE

    Modeling Rogowski Coils for Monitoring Surge Arrester Discharge Currents

    Nehmdoh A. Sabiha, Hend I. Alkhammash
    Computer Systems Science and Engineering, Vol.42, No.2, pp. 439-449, 2022, DOI:10.32604/csse.2022.022506
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract Rogowski coils (RCs) are widely used to measure power or high frequency currents based on their design. In this paper, two types of RCs that are circular (traditional) and cylindrical shapes wound using wire covered by varnish are constructed. This construction is carried out to be suitable for monitoring the discharge current of the surge arrester installed in the distribution system. Concerning high frequency RC modeling for both types considering transfer function is introduced. Self-integrating for both types is attained. Therefore, the experimental tests using function generator for both coils are carried out to identify the parameters of the transfer… More >

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    871

  • Open Access

    ARTICLE

    SOINN-Based Abnormal Trajectory Detection for Efficient Video Condensation

    Chin-Shyurng Fahn, Chang-Yi Kao, Meng-Luen Wu, Hao-En Chueh
    Computer Systems Science and Engineering, Vol.42, No.2, pp. 451-463, 2022, DOI:10.32604/csse.2022.022368
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract With the evolution of video surveillance systems, the requirement of video storage grows rapidly; in addition, safe guards and forensic officers spend a great deal of time observing surveillance videos to find abnormal events. As most of the scene in the surveillance video are redundant and contains no information needs attention, we propose a video condensation method to summarize the abnormal events in the video by rearranging the moving trajectory and sort them by the degree of anomaly. Our goal is to improve the condensation rate to reduce more storage size, and increase the accuracy in abnormal detection. As the… More >

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    694

  • Open Access

    ARTICLE

    Evaluation of Deep Learning Models for Person Authentication Based on Touch Gesture

    Asrar Bajaber, Mai Fadel, Lamiaa Elrefaei
    Computer Systems Science and Engineering, Vol.42, No.2, pp. 465-481, 2022, DOI:10.32604/csse.2022.022003
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract Touch gesture biometrics authentication system is the study of user's touching behavior on his touch device to identify him. The features traditionally used in touch gesture authentication systems are extracted using hand-crafted feature extraction approach. In this work, we investigate the ability of Deep Learning (DL) to automatically discover useful features of touch gesture and use them to authenticate the user. Four different models are investigated Long-Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Convolutional Neural Network (CNN) combined with LSTM (CNN-LSTM), and CNN combined with GRU(CNN-GRU). In addition, different regularization techniques are investigated such as Activity Regularizer, Batch Normalization… More >

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  • Open Access

    ARTICLE

    Autonomous Unbiased Study Group Formation Algorithm for Rapid Knowledge Propagation

    Monday Eze, Charles Okunbor, Solomon Esomu, Nneka Richard-Nnabu, Kayode Oladapo, Oghenetega Avwokuruaye, Abisola Olayiwola, Akpovi Ominike, Godwin Odulaja, Oluwatobi Akinmerese
    Computer Systems Science and Engineering, Vol.42, No.1, pp. 15-31, 2022, DOI:10.32604/csse.2022.021964
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract Knowledge propagation is a necessity, both in academics and in the industry. The focus of this work is on how to achieve rapid knowledge propagation using collaborative study groups. The practice of knowledge sharing in study groups finds relevance in conferences, workshops, and class rooms. Unfortunately, there appears to be only few researches on empirical best practices and techniques on study groups formation, especially for achieving rapid knowledge propagation. This work bridges this gap by presenting a workflow driven computational algorithm for autonomous and unbiased formation of study groups. The system workflow consists of a chronology of stages, each made… More >

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    803

  • Open Access

    ARTICLE

    Application of ANFIS Model for Thailand’s Electric Vehicle Consumption

    Narongkorn Uthathip, Pornrapeepat Bhasaputra, Woraratana Pattaraprakorn
    Computer Systems Science and Engineering, Vol.42, No.1, pp. 69-86, 2022, DOI:10.32604/csse.2022.020120
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract Generally, road transport is a major energy-consuming sector. Fuel consumption of each vehicle is an important factor that affects the overall energy consumption, driving behavior and vehicle characteristic are the main factors affecting the change of vehicle fuel consumption. It is difficult to analyze the influence of fuel consumption with multiple and complex factors. The Adaptive Neuro-Fuzzy Inference System (ANFIS) approach was employed to develop a vehicle fuel consumption model based on multivariate input. The ANFIS network was constructed by various experiments based on the ANFIS Parameter setting. The performance of the ANFIS network was validated using Root Mean Square… More >

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  • Open Access

    ARTICLE

    Object Tracking-Based “Follow-Me” Unmanned Aerial Vehicle (UAV) System

    Olubukola D. Adekola, Onyedikachi Kenny Udekwu, Oluwatobi Tolulope Saliu, Damilola Williams Dada, Stephen O. Maitanmi, Victor Odumuyiwa, Olujimi Alao, Monday Eze, Funmilayo Abibat Kasali, Ayokunle Omotunde
    Computer Systems Science and Engineering, Vol.41, No.3, pp. 875-890, 2022, DOI:10.32604/csse.2022.021029
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract The applications of information technology (IT) tools and techniques have, over the years, simplified complex problem solving procedures. But the power of automation is inhibited by the technicality in manning advanced equipment. To this end, tools deliberately combating this inhibition and advancing technological growth are the Unmanned Aerial Vehicles (UAVs). UAVs are rapidly taking over major industries such as logistics, security, and cinematography. Among others, this is a very efficient way of carrying out missions unconventional to humans. An application area of this technology is the local film industry which is not producing quality movies primarily due to the lack… More >

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    1403

  • Open Access

    ARTICLE

    A Hybrid Heuristic Algorithm for Solving COVID-19’s Social Distancing at Universities Campus

    Hassan Al-Tarawneh, Khalid Al-Kaabneh, Aysh Alhroob, Hazem Migdady, Issam Alhadid
    Computer Systems Science and Engineering, Vol.41, No.3, pp. 933-944, 2022, DOI:10.32604/csse.2022.021078
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract Social distancing during COVID-19 has become one of the most important measures in reducing the risks of the spread of the virus. Implementing these measures at universities is crucial and directly related to the physical attendance of the populations of students, professors, employees, and other members on campus. This research proposes an automated scheduling approach that can help universities and schools comply with the social distancing regulations by providing assistance in avoiding huge assemblages of people. Furthermore, this paper proposes a novel course timetable-scheduling scheme based on four main constraints. First, a distance of two meters must be maintained between… More >

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    786

  • Open Access

    ARTICLE

    On Relations for Moments of Generalized Order Statistics for Lindley–Weibull Distribution

    Faten A. Momen khan, Saman Hanif Shahbaz, Muhammad Qaiser Shahbaz
    Computer Systems Science and Engineering, Vol.41, No.1, pp. 197-208, 2022, DOI:10.32604/csse.2022.020448
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract Moments of generalized order statistics appear in several areas of science and engineering. These moments are useful in studying properties of the random variables which are arranged in increasing order of importance, for example, time to failure of a computer system. The computation of these moments is sometimes very tedious and hence some algorithms are required. One algorithm is to use a recursive method of computation of these moments and is very useful as it provides the basis to compute higher moments of generalized order statistics from the corresponding lower-order moments. Generalized order statistics provides several models of ordered data… More >

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    756

  • Open Access

    ARTICLE

    Hybrid Renewable Energy Source Combined Dynamic Voltage Restorer for Power Quality Improvement

    N. Kanagaraj
    Computer Systems Science and Engineering, Vol.40, No.2, pp. 517-538, 2022, DOI:10.32604/csse.2022.019149
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract In this paper, the hybrid photovoltaic-thermoelectric generator (PV-TEG) combined dynamic voltage restorer (DVR) system is proposed for the power quality disturbances compensation in a single-phase distribution system. The stable and precise level of input voltage is essential for the smooth and trouble-free operation of the electrically sensitive loads which are connected at the utility side to avoid system malfunctions. In this context, the hybrid PV-TEG energy module combined DVR system is proposed in this paper. With the support of the hybrid energy module, the DVR will perform the power quality disturbances compensation effectively with needed voltage and /or power. In… More >

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    1876

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    901

  • Open Access

    ARTICLE

    An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles

    Mesfer Alrizq, Shauban Ali Solangi, Abdullah Alghamdi, Muhammad Ali Nizamani, Muhammad Ali Memon, Mohammed Hamdi
    Computer Systems Science and Engineering, Vol.40, No.2, pp. 557-569, 2022, DOI:10.32604/csse.2022.018800
    （This article belongs to this Special Issue: Advances in Computational Intelligence and its Applications)
    Abstract Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare (mHealthcare) services. A patient within the hospital is monitored by several devices. Moreover, upon leaving the hospital, the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health parameters. This raises potential challenges for intelligent monitoring of patient’s health. In this paper, an improved architecture for smart mHealthcare is proposed that is supported by HCI design principles. The HCI also provides the support for the User-Centric Design (UCD) for smart… More >

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