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  • Open Access

    ARTICLE

    Brain Tumour Detection by Gamma DeNoised Wavelet Segmented Entropy Classifier

    Simy Mary Kurian1, Sujitha Juliet Devaraj1,*, Vinodh P. Vijayan2

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2093-2109, 2021, DOI:10.32604/cmc.2021.018090 - 21 July 2021

    Abstract Magnetic resonance imaging (MRI) is an essential tool for detecting brain tumours. However, identification of brain tumours in the early stages is a very complex task since MRI images are susceptible to noise and other environmental obstructions. In order to overcome these problems, a Gamma MAP denoised Strömberg wavelet segmentation based on a maximum entropy classifier (GMDSWS-MEC) model is developed for efficient tumour detection with high accuracy and low time consumption. The GMDSWS-MEC model performs three steps, namely pre-processing, segmentation, and classification. Within the GMDSWS-MEC model, the Gamma MAP filter performs the pre-processing task and… More >

  • Open Access

    ARTICLE

    Image Authenticity Detection Using DWT and Circular Block-Based LTrP Features

    Marriam Nawaz1, Zahid Mehmood2,*, Tahira Nazir1, Momina Masood1, Usman Tariq3, Asmaa Mahdi Munshi4, Awais Mehmood1, Muhammad Rashid5

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1927-1944, 2021, DOI:10.32604/cmc.2021.018052 - 21 July 2021

    Abstract Copy-move forgery is the most common type of digital image manipulation, in which the content from the same image is used to forge it. Such manipulations are performed to hide the desired information. Therefore, forgery detection methods are required to identify forged areas. We have introduced a novel method for features computation by employing a circular block-based method through local tetra pattern (LTrP) features to detect the single and multiple copy-move attacks from the images. The proposed method is applied over the circular blocks to efficiently and effectively deal with the post-processing operations. It also… More >

  • Open Access

    ARTICLE

    Neutrosophic Rule-Based Identity Verification System Based on Handwritten Dynamic Signature Analysis

    Amr Hefny1, Aboul Ella Hassanien2, Sameh H. Basha1,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2367-2386, 2021, DOI:10.32604/cmc.2021.018017 - 21 July 2021

    Abstract Identity verification using authenticity evaluation of handwritten signatures is an important issue. There have been several approaches for the verification of signatures using dynamics of the signing process. Most of these approaches extract only global characteristics. With the aim of capturing both dynamic global and local features, this paper introduces a novel model for verifying handwritten dynamic signatures using neutrosophic rule-based verification system (NRVS) and Genetic NRVS (GNRVS) models. The neutrosophic Logic is structured to reflect multiple types of knowledge and relations among all features using three values: truth, indeterminacy, and falsity. These three values More >

  • Open Access

    ARTICLE

    Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm

    Anil Kumar Gulivindala1, M. V. A. Raju Bahubalendruni1, R. Chandrasekar1,2, Ejaz Ahmed2, Mustufa Haider Abidi3,*, Abdulrahman Al-Ahmari4

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2531-2548, 2021, DOI:10.32604/cmc.2021.018014 - 21 July 2021

    Abstract The evolution of Industry 4.0 made it essential to adopt the Internet of Things (IoT) and Cloud Computing (CC) technologies to perform activities in the new age of manufacturing. These technologies enable collecting, storing, and retrieving essential information from the manufacturing stage. Data collected at sites are shared with others where execution automatedly occurs. The obtained information must be validated at manufacturing to avoid undesirable data losses during the de-manufacturing process. However, information sharing from the assembly level at the manufacturing stage to disassembly at the product end-of-life state is a major concern. The current… More >

  • Open Access

    ARTICLE

    Machine Learning Applied to Problem-Solving in Medical Applications

    Mahmoud Ragab1,2, Ali Algarni3, Adel A. Bahaddad4, Romany F. Mansour5,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2277-2294, 2021, DOI:10.32604/cmc.2021.018000 - 21 July 2021

    Abstract Physical health plays an important role in overall well-being of the human beings. It is the most observed dimension of health among others such as social, intellectual, emotional, spiritual and environmental dimensions. Due to exponential increase in the development of wireless communication techniques, Internet of Things (IoT) has effectively penetrated different aspects of human lives. Healthcare is one of the dynamic domains with ever-growing demands which can be met by IoT applications. IoT can be leveraged through several health service offerings such as remote health and monitoring services, aided living, personalized treatment, and so on.… More >

  • Open Access

    ARTICLE

    Optimal Implementation of Photovoltaic and Battery Energy Storage in Distribution Networks

    Hussein Abdel-Mawgoud1, Salah Kamel1, Hegazy Rezk2,3, Tahir Khurshaid4, Sang-Bong Rhee4,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1463-1481, 2021, DOI:10.32604/cmc.2021.017995 - 21 July 2021

    Abstract Recently, implementation of Battery Energy Storage (BES) with photovoltaic (PV) array in distribution networks is becoming very popular in overall the world. Integrating PV alone in distribution networks generates variable output power during 24-hours as it depends on variable natural source. PV can be able to generate constant output power during 24-hours by installing BES with it. Therefore, this paper presents a new application of a recent metaheuristic algorithm, called Slime Mould Algorithm (SMA), to determine the best size, and location of photovoltaic alone or with battery energy storage in the radial distribution system (RDS).… More >

  • Open Access

    ARTICLE

    EA-RDSP: Energy Aware Rapidly Deployable Wireless Ad hoc System for Post Disaster Management

    Ajmal Khan1, Mubashir Mukhtar1, Farman Ullah1, Muhammad Bilal2, Kyung-Sup Kwak3,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1725-1746, 2021, DOI:10.32604/cmc.2021.017952 - 21 July 2021

    Abstract In post disaster scenarios such as war zones floods and earthquakes, the cellular communication infrastructure can be lost or severely damaged. In such emergency situations, remaining in contact with other rescue response teams in order to provide inputs for both headquarters and disaster survivors becomes very necessary. Therefore, in this research work, a design, implementation and evaluation of energy aware rapidly deployable system named EA-RDSP is proposed. The proposed research work assists the early rescue workers and victims to transmit their location information towards the remotely located servers. In EA-RDSP, two algorithms are proposed i.e.,… More >

  • Open Access

    ARTICLE

    Advanced Community Identification Model for Social Networks

    Farhan Amin1, Jin-Ghoo Choi2, Gyu Sang Choi2,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1687-1707, 2021, DOI:10.32604/cmc.2021.017870 - 21 July 2021

    Abstract Community detection in social networks is a hard problem because of the size, and the need of a deep understanding of network structure and functions. While several methods with significant effort in this direction have been devised, an outstanding open problem is the unknown number of communities, it is generally believed that the role of influential nodes that are surrounded by neighbors is very important. In addition, the similarity among nodes inside the same cluster is greater than among nodes from other clusters. Lately, the global and local methods of community detection have been getting… More >

  • Open Access

    ARTICLE

    A 3D Measurement Method Based on Coded Image

    Jinxing Niu1,*, Yayun Fu1, Qingsheng Hu1, Shaojie Yang1, Tao Zhang1, Sunil Kumar Jha2

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1839-1849, 2021, DOI:10.32604/cmc.2021.017797 - 21 July 2021

    Abstract The binocular stereo vision system is often used to reconstruct 3D point clouds of an object. However, it is challenging to find effective matching points in two object images with similar color or less texture. This will lead to mismatching by using the stereo matching algorithm to calculate the disparity map. In this context, the object can’t be reconstructed precisely. As a countermeasure, this study proposes to combine the Gray code fringe projection with the binocular camera as well as to generate denser point clouds by projecting an active light source to increase the texture… More >

  • Open Access

    ARTICLE

    Development of a Smart Technique for Mobile Web Services Discovery

    Mohamed Eb-Saad1, Yunyoung Nam2,*, Hazem M. El-bakry1, Samir Abdelrazek1

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1483-1501, 2021, DOI:10.32604/cmc.2021.017783 - 21 July 2021

    Abstract Web service (WS) presents a good solution to the interoperability of different types of systems that aims to reduce the overhead of high processing in a resource-limited environment. With the increasing demand for mobile WS (MWS), the WS discovery process has become a significant challenging point in the WS lifecycle that aims to identify the relevant MWSs that best match the service requests. This discovery process is a resource-consuming task that cannot be performed efficiently in a mobile computing environment due to the limitations of mobile devices. Meanwhile, a cloud computing can provide rich computing… More >

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