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  • Open Access

    ARTICLE

    Deep Neural Network and Pseudo Relevance Feedback Based Query Expansion

    Abhishek Kumar Shukla*, Sujoy Das

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3557-3570, 2022, DOI:10.32604/cmc.2022.022411

    Abstract The neural network has attracted researchers immensely in the last couple of years due to its wide applications in various areas such as Data mining, Natural language processing, Image processing, and Information retrieval etc. Word embedding has been applied by many researchers for Information retrieval tasks. In this paper word embedding-based skip-gram model has been developed for the query expansion task. Vocabulary terms are obtained from the top “k” initially retrieved documents using the Pseudo relevance feedback model and then they are trained using the skip-gram model to find the expansion terms for the user query. The performance of the… More >

  • Open Access

    ARTICLE

    Cost Estimate and Input Energy of Floor Systems in Low Seismic Regions

    Sayed Mahmoud*, Alaa Salman

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2159-2173, 2022, DOI:10.32604/cmc.2022.022357

    Abstract Reinforced concrete (RC) as a material is most commonly used for buildings construction. Several floor systems are available following the structural and architectural requirements. The current research study provides cost and input energy comparisons of RC office buildings of different floor systems. Conventional solid, ribbed, flat plate and flat slab systems are considered in the study. Building models in three-dimensional using extended three-dimensional analysis of building systems (ETABS) and in two-dimensional using slab analysis by the finite element (SAFE) are developed for analysis purposes. Analysis and design using both software packages and manual calculations are employed to obtain the optimum… More >

  • Open Access

    ARTICLE

    Optimization Analysis of Sustainable Solar Power System for Mobile Communication Systems

    Mohammed H. Alsharif1, Raju Kannadasan2, Amir Y. Hassan3, Wael Z. Tawfik4, Mun-Kyeom Kim5,*, Muhammad Asghar Khan6, Ahmad A. A. Solyman7

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3243-3255, 2022, DOI:10.32604/cmc.2022.022348

    Abstract Cellular mobile technology has witnessed tremendous growth in recent times. One of the challenges facing the operators to extend the coverage of the networks to meet the rising demand for cellular mobile services is the power sources used to supply cellular towers with energy, especially in remote. Thus, switch from the conventional sources of energy to a greener and sustainable power model became a target of the academic and industrial sectors in many fields; one of these important fields is the telecommunication sector. Accordingly, this study aims to find the optimum sizing and techno-economic investigation of a solar photovoltaic scheme… More >

  • Open Access

    ARTICLE

    Integration of Fog Computing for Health Record Management Using Blockchain Technology

    Mesfer AI Duhayyim1, Fahd N. Al-Wesabi2, Radwa Marzouk3, Abdalla Ibrahim Abdalla Musa4, Noha Negm5, Anwer Mustafa Hilal6, Manar Ahmed Hamza6,*, Mohammed Rizwanullah6

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4135-4149, 2022, DOI:10.32604/cmc.2022.022336

    Abstract Internet of Medical Things (IoMT) is a breakthrough technology in the transfer of medical data via a communication system. Wearable sensor devices collect patient data and transfer them through mobile internet, that is, the IoMT. Recently, the shift in paradigm from manual data storage to electronic health recording on fog, edge, and cloud computing has been noted. These advanced computing technologies have facilitated medical services with minimum cost and available conditions. However, the IoMT raises a high concern on network security and patient data privacy in the health care system. The main issue is the transmission of health data with… More >

  • Open Access

    ARTICLE

    Algorithm Development of Cloud Removal from Solar Images Based on Pix2Pix Network

    Xian Wu1, Wei Song1,2,3,*, Xukun Zhang1, Ganghua Lin2,4, Haimin Wang5,6,7, Yuanyong Deng2,4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3497-3512, 2022, DOI:10.32604/cmc.2022.022325

    Abstract Sky clouds affect solar observations significantly. Their shadows obscure the details of solar features in observed images. Cloud-covered solar images are difficult to be used for further research without pre-processing. In this paper, the solar image cloud removing problem is converted to an image-to-image translation problem, with a used algorithm of the Pixel to Pixel Network (Pix2Pix), which generates a cloudless solar image without relying on the physical scattering model. Pix2Pix is consists of a generator and a discriminator. The generator is a well-designed U-Net. The discriminator uses PatchGAN structure to improve the details of the generated solar image, which… More >

  • Open Access

    ARTICLE

    Robust Reversible Audio Watermarking Scheme for Telemedicine and Privacy Protection

    Xiaorui Zhang1,2,*, Xun Sun1, Xingming Sun1, Wei Sun3, Sunil Kumar Jha4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3035-3050, 2022, DOI:10.32604/cmc.2022.022304

    Abstract The leakage of medical audio data in telemedicine seriously violates the privacy of patients. In order to avoid the leakage of patient information in telemedicine, a two-stage reversible robust audio watermarking algorithm is proposed to protect medical audio data. The scheme decomposes the medical audio into two independent embedding domains, embeds the robust watermark and the reversible watermark into the two domains respectively. In order to ensure the audio quality, the Hurst exponent is used to find a suitable position for watermark embedding. Due to the independence of the two embedding domains, the embedding of the second-stage reversible watermark will… More >

  • Open Access

    ARTICLE

    CryptoNight Mining Algorithm with YAC Consensus for Social Media Marketing Using Blockchain

    Anwer Mustafa Hil1, Fahd N. Al-Wesabi2, Hadeel Alsolai3, Ola Abdelgney Omer Ali4, Nadhem Nemri5, Manar Ahmed Hamza1,*, Abu Sarwar Zamani1, Mohammed Rizwanullah1

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3921-3936, 2022, DOI:10.32604/cmc.2022.022301

    Abstract Social media is a platform in which user can create, share and exchange the knowledge/information. Social media marketing is to identify the different consumer's demands and engages them to create marketing resources. The popular social media platforms are Microsoft, Snapchat, Amazon, Flipkart, Google, eBay, Instagram, Facebook, Pin interest, and Twitter. The main aim of social media marketing deals with various business partners and build good relationship with millions of customers by satisfying their needs. Disruptive technology is replacing old approaches in the social media marketing to new technology-based marketing. However, this disruptive technology creates some issues like fake news, insecure,… More >

  • Open Access

    ARTICLE

    A Zero-Watermark Scheme Based on Quaternion Generalized Fourier Descriptor for Multiple Images

    Baowei Wang1,2,3,*, Weishen Wang1, Peng Zhao1, Naixue Xiong4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2633-2652, 2022, DOI:10.32604/cmc.2022.022291

    Abstract Most of the existing zero-watermark schemes for medical images are only appropriate for a single grayscale image. When they protect a large number of medical images, repeating operations will cause a significant amount of time and storage costs. Hence, this paper proposes an efficient zero-watermark scheme for multiple color medical images based on quaternion generalized Fourier descriptor (QGFD). Firstly, QGFD is utilized to compute the feature invariants of each color image, then the representative features of each image are selected, stacked, and reshaped to generate a feature matrix, which is then binarized to get a binary feature image. Copyright information… More >

  • Open Access

    ARTICLE

    Citrus Diseases Recognition Using Deep Improved Genetic Algorithm

    Usra Yasmeen1, Muhammad Attique Khan1, Usman Tariq2, Junaid Ali Khan1, Muhammad Asfand E. Yar3, Ch. Avais Hanif4, Senghour Mey5, Yunyoung Nam6,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3667-3684, 2022, DOI:10.32604/cmc.2022.022264

    Abstract Agriculture is the backbone of each country, and almost 50% of the population is directly involved in farming. In Pakistan, several kinds of fruits are produced and exported the other countries. Citrus is an important fruit, and its production in Pakistan is higher than the other fruits. However, the diseases of citrus fruits such as canker, citrus scab, blight, and a few more impact the quality and quantity of this Fruit. The manual diagnosis of these diseases required an expert person who is always a time-consuming and costly procedure. In the agriculture sector, deep learning showing significant success in the… More >

  • Open Access

    ARTICLE

    Encoder-Decoder Based LSTM Model to Advance User QoE in 360-Degree Video

    Muhammad Usman Younus1,*, Rabia Shafi2, Ammar Rafiq3, Muhammad Rizwan Anjum4, Sharjeel Afridi5, Abdul Aleem Jamali6, Zulfiqar Ali Arain7

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2617-2631, 2022, DOI:10.32604/cmc.2022.022236

    Abstract The development of multimedia content has resulted in a massive increase in network traffic for video streaming. It demands such types of solutions that can be addressed to obtain the user's Quality-of-Experience (QoE). 360-degree videos have already taken up the user's behavior by storm. However, the users only focus on the part of 360-degree videos, known as a viewport. Despite the immense hype, 360-degree videos convey a loathsome side effect about viewport prediction, making viewers feel uncomfortable because user viewport needs to be pre-fetched in advance. Ideally, we can minimize the bandwidth consumption if we know what the user motion… More >

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