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  • Open Access

    ARTICLE

    Apex Frame Spotting Using Attention Networks for Micro-Expression Recognition System

    Ng Lai Yee1, Mohd Asyraf Zulkifley2,*, Adhi Harmoko Saputro3, Siti Raihanah Abdani4

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5331-5348, 2022, DOI:10.32604/cmc.2022.028801 - 28 July 2022

    Abstract Micro-expression is manifested through subtle and brief facial movements that relay the genuine person’s hidden emotion. In a sequence of videos, there is a frame that captures the maximum facial differences, which is called the apex frame. Therefore, apex frame spotting is a crucial sub-module in a micro-expression recognition system. However, this spotting task is very challenging due to the characteristics of micro-expression that occurs in a short duration with low-intensity muscle movements. Moreover, most of the existing automated works face difficulties in differentiating micro-expressions from other facial movements. Therefore, this paper presents a deep… More >

  • Open Access

    ARTICLE

    Body Worn Sensors for Health Gaming and e-Learning in Virtual Reality

    Mir Mushhood Afsar1, Shizza Saqib1, Yazeed Yasin Ghadi2, Suliman A. Alsuhibany3, Ahmad Jalal1, Jeongmin Park4,*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4763-4777, 2022, DOI:10.32604/cmc.2022.028618 - 28 July 2022

    Abstract Virtual reality is an emerging field in the whole world. The problem faced by people today is that they are more indulged in indoor technology rather than outdoor activities. Hence, the proposed system introduces a fitness solution connecting virtual reality with a gaming interface so that an individual can play first-person games. The system proposed in this paper is an efficient and cost-effective solution that can entertain people along with playing outdoor games such as badminton and cricket while sitting in the room. To track the human movement, sensors Micro Processor Unit (MPU6050) are used… More >

  • Open Access

    REVIEW

    Advances in Hyperspectral Image Classification Based on Convolutional Neural Networks: A Review

    Somenath Bera1, Vimal K. Shrivastava2, Suresh Chandra Satapathy3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 219-250, 2022, DOI:10.32604/cmes.2022.020601 - 21 July 2022

    Abstract Hyperspectral image (HSI) classification has been one of the most important tasks in the remote sensing community over the last few decades. Due to the presence of highly correlated bands and limited training samples in HSI, discriminative feature extraction was challenging for traditional machine learning methods. Recently, deep learning based methods have been recognized as powerful feature extraction tool and have drawn a significant amount of attention in HSI classification. Among various deep learning models, convolutional neural networks (CNNs) have shown huge success and offered great potential to yield high performance in HSI classification. Motivated… More >

  • Open Access

    ARTICLE

    An Optimized and Hybrid Framework for Image Processing Based Network Intrusion Detection System

    Murtaza Ahmed Siddiqi, Wooguil Pak*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3921-3949, 2022, DOI:10.32604/cmc.2022.029541 - 16 June 2022

    Abstract The network infrastructure has evolved rapidly due to the ever-increasing volume of users and data. The massive number of online devices and users has forced the network to transform and facilitate the operational necessities of consumers. Among these necessities, network security is of prime significance. Network intrusion detection systems (NIDS) are among the most suitable approaches to detect anomalies and assaults on a network. However, keeping up with the network security requirements is quite challenging due to the constant mutation in attack patterns by the intruders. This paper presents an effective and prevalent framework for More >

  • Open Access

    ARTICLE

    Development of Mobile App to Support the Mobility of Visually Impaired People

    R. Meenakshi1, R. Ponnusamy1,*, Saleh Alghamdi2, Osama Ibrahim Khalaf3, Youseef Alotaibi4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3473-3495, 2022, DOI:10.32604/cmc.2022.028540 - 16 June 2022

    Abstract In 2017, it was estimated that the number of persons of all ages visually affected would be two hundred and eighty-five million, of which thirty-nine million are blind. There are several innovative technical solutions available to facilitate the movement of these people. The next big challenge for technical people is to give cost-effective solutions. One of the challenges for people with visual impairments is navigating safely, recognizing obstacles, and moving freely between locations in unfamiliar environments. A new mobile application solution is developed, and the application can be installed in android mobile. The application will More >

  • Open Access

    ARTICLE

    Metaheuristic Optimization for Mobile Robot Navigation Based on Path Planning

    El-Sayed M. El-kenawy1,2, Zeeshan Shafi Khan3,*, Abdelhameed Ibrahim4, Bandar Abdullah Aloyaydi5, Hesham Arafat Ali2,4, Ali E. Takieldeen2

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2241-2255, 2022, DOI:10.32604/cmc.2022.026672 - 16 June 2022

    Abstract Recently, the path planning problem may be considered one of the most interesting researched topics in autonomous robotics. That is why finding a safe path in a cluttered environment for a mobile robot is a significant requisite. A promising route planning for mobile robots on one side saves time and, on the other side, reduces the wear and tear on the robot, saving the capital investment. Numerous route planning methods for the mobile robot have been developed and applied. According to our best knowledge, no method offers an optimum solution among the existing methods. Particle… More >

  • Open Access

    ARTICLE

    Image Steganography Using Deep Neural Networks

    Kavitha Chinniyan*, Thamil Vani Samiyappan, Aishvarya Gopu, Narmatha Ramasamy

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1877-1891, 2022, DOI:10.32604/iasc.2022.027274 - 25 May 2022

    Abstract Steganography is the technique of hiding secret data within ordinary data by modifying pixel values which appear normal to a casual observer. Steganography which is similar to cryptography helps in secret communication. The cryptography method focuses on the authenticity and integrity of the messages by hiding the contents of the messages. Sometimes, it is not only just enough to encrypt the message but also essential to hide the existence of the message itself. As this avoids misuse of data, this kind of encryption is less suspicious and does not catch attention. To achieve this, Stacked… More >

  • Open Access

    ARTICLE

    Convolutional Neural Networks Based Video Reconstruction and Computation in Digital Twins

    M. Kavitha1, B. Sankara Babu2, B. Sumathy3, T. Jackulin4, N. Ramkumar5, A. Manimaran6, Ranjan Walia7, S. Neelakandan8,*

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1571-1586, 2022, DOI:10.32604/iasc.2022.026385 - 25 May 2022

    Abstract With the advancement of communication and computing technologies, multimedia technologies involving video and image applications have become an important part of the information society and have become inextricably linked to people's daily productivity and lives. Simultaneously, there is a growing interest in super-resolution (SR) video reconstruction techniques. At the moment, the design of digital twins in video computing and video reconstruction is based on a number of difficult issues. Although there are several SR reconstruction techniques available in the literature, most of the works have not considered the spatio-temporal relationship between the video frames. With… More >

  • Open Access

    ARTICLE

    Automatic Localization and Segmentation of Vertebrae for Cobb Estimation and Curvature Deformity

    Joddat Fatima1,*, Amina Jameel2, Muhammad Usman Akram3, Adeel Muzaffar Syed1, Malaika Mushtaq3

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1489-1504, 2022, DOI:10.32604/iasc.2022.025935 - 25 May 2022

    Abstract The long twisted fragile tube, termed as spinal cord, can be named as the second vital organ of Central Nervous System (CNS), after brain. In human anatomy, all crucial life activities are controlled by CNS. The spinal cord does not only control the flow of information from the brain to rest of the body, but also takes charge of our reflexes control and the mobility of body. It keeps the body upright and acts as the main support for the flesh and bones. Spine deformity can occur by birth, due to aging, injury or spine… More >

  • Open Access

    ARTICLE

    A Novel Method for Thermoelectric Generator Based on Neural Network

    Mohammad Saraireh1,*, A. M. Maqableh2, Manar Jaradat3, Omar A. Saraereh4

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 2115-2133, 2022, DOI:10.32604/cmc.2022.029978 - 18 May 2022

    Abstract The growing need for renewable energy and zero carbon dioxide emissions has fueled the development of thermoelectric generators with improved power generating capability. Along with the endeavor to develop thermoelectric materials with greater figures of merit, the geometrical and structural optimization of thermoelectric generators is equally critical for maximum power output and efficiency. Green energy strategies that are constantly updated are a viable option for addressing the global energy issue while also protecting the environment. There have been significant focuses on the development of thermoelectric modules for a range of solar, automotive, military, and aerospace… More >

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