Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (21,887)
  • Open Access

    ARTICLE

    Machine Learning Approach for COVID-19 Detection on Twitter

    Samina Amin1,*, M. Irfan Uddin1, Heyam H. Al-Baity2, M. Ali Zeb1, M. Abrar Khan1

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2231-2247, 2021, DOI:10.32604/cmc.2021.016896

    Abstract Social networking services (SNSs) provide massive data that can be a very influential source of information during pandemic outbreaks. This study shows that social media analysis can be used as a crisis detector (e.g., understanding the sentiment of social media users regarding various pandemic outbreaks). The novel Coronavirus Disease-19 (COVID-19), commonly known as coronavirus, has affected everyone worldwide in 2020. Streaming Twitter data have revealed the status of the COVID-19 outbreak in the most affected regions. This study focuses on identifying COVID-19 patients using tweets without requiring medical records to find the COVID-19 pandemic in Twitter messages (tweets). For this… More >

  • Open Access

    ARTICLE

    Convolutional Bi-LSTM Based Human Gait Recognition Using Video Sequences

    Javaria Amin1, Muhammad Almas Anjum2, Muhammad Sharif3, Seifedine Kadry4, Yunyoung Nam5,*, ShuiHua Wang6

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2693-2709, 2021, DOI:10.32604/cmc.2021.016871

    Abstract Recognition of human gait is a difficult assignment, particularly for unobtrusive surveillance in a video and human identification from a large distance. Therefore, a method is proposed for the classification and recognition of different types of human gait. The proposed approach is consisting of two phases. In phase I, the new model is proposed named convolutional bidirectional long short-term memory (Conv-BiLSTM) to classify the video frames of human gait. In this model, features are derived through convolutional neural network (CNN) named ResNet-18 and supplied as an input to the LSTM model that provided more distinguishable temporal information. In phase II,… More >

  • Open Access

    ARTICLE

    Multi-Head Attention Graph Network for Few Shot Learning

    Baiyan Zhang1, Hefei Ling1,*, Ping Li1, Qian Wang1, Yuxuan Shi1, Lei Wu1, Runsheng Wang1, Jialie Shen2

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1505-1517, 2021, DOI:10.32604/cmc.2021.016851

    Abstract The majority of existing graph-network-based few-shot models focus on a node-similarity update mode. The lack of adequate information intensifies the risk of overtraining. In this paper, we propose a novel Multi-head Attention Graph Network to excavate discriminative relation and fulfill effective information propagation. For edge update, the node-level attention is used to evaluate the similarities between the two nodes and the distribution-level attention extracts more in-deep global relation. The cooperation between those two parts provides a discriminative and comprehensive expression for edge feature. For node update, we embrace the label-level attention to soften the noise of irrelevant nodes and optimize… More >

  • Open Access

    ARTICLE

    Optimal Cost-Aware Paradigm for Off-Grid Green Cellular Networks in Oman

    Mohammed H. Alsharif1, Kannadasan Raju2, Abu Jahid3, Mahmoud A. Albreem4, Peerapong Uthansakul5,*, Jamel Nebhen6, Venkatesan Chandrasekaran2

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2665-2680, 2021, DOI:10.32604/cmc.2021.016836

    Abstract

    Green wireless networks or energy-efficient wireless networks have gained popularity as a research topic due to the ecological and economic concerns of cellular operators. The specific power supply requirements for the cellular base station, such as cost-effectiveness, efficiency, sustainability, and reliability, can be met by utilizing the technological advances in renewable energy. There are numerous drivers for the deployment of renewable energy technologies and the transition towards green energy. Renewable energy is free, clean, and abundant in most locations throughout the year. Accordingly, this work proposes a novel framework for energy-efficient solar-powered base stations for the Oman site, specifically for… More >

  • Open Access

    ARTICLE

    Emotion Analysis: Bimodal Fusion of Facial Expressions and EEG

    Huiping Jiang1,*, Rui Jiao1, Demeng Wu1, Wenbo Wu2

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2315-2327, 2021, DOI:10.32604/cmc.2021.016832

    Abstract With the rapid development of deep learning and artificial intelligence, affective computing, as a branch field, has attracted increasing research attention. Human emotions are diverse and are directly expressed via non-physiological indicators, such as electroencephalogram (EEG) signals. However, whether emotion-based or EEG-based, these remain single-modes of emotion recognition. Multi-mode fusion emotion recognition can improve accuracy by utilizing feature diversity and correlation. Therefore, three different models have been established: the single-mode-based EEG-long and short-term memory (LSTM) model, the Facial-LSTM model based on facial expressions processing EEG data, and the multi-mode LSTM-convolutional neural network (CNN) model that combines expressions and EEG. Their… More >

  • Open Access

    ARTICLE

    An Optimal Classification Model for Rice Plant Disease Detection

    R. Sowmyalakshmi1, T. Jayasankar1,*, V. Ayyem Pillai2, Kamalraj Subramaniyan3, Irina V. Pustokhina4, Denis A. Pustokhin5, K. Shankar6

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1751-1767, 2021, DOI:10.32604/cmc.2021.016825

    Abstract Internet of Things (IoT) paves a new direction in the domain of smart farming and precision agriculture. Smart farming is an upgraded version of agriculture which is aimed at improving the cultivation practices and yield to a certain extent. In smart farming, IoT devices are linked among one another with new technologies to improve the agricultural practices. Smart farming makes use of IoT devices and contributes in effective decision making. Rice is the major food source in most of the countries. So, it becomes inevitable to detect rice plant diseases during early stages with the help of automated tools and… More >

  • Open Access

    ARTICLE

    Frequency Reconfigurable Antenna for Multi Standard Wireless and Mobile Communication Systems

    Ikhlas Ahmad1, Haris Dildar1, Wasi Ur Rehman Khan1, Sadiq Ullah1, Shakir Ullah1, Mahmoud A. Albreem2, Mohammed H. Alsharif3, Peerapong Uthansakul4,*

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2563-2578, 2021, DOI:10.32604/cmc.2021.016813

    Abstract In this paper, low profile frequency reconfigurable monopole antenna is designed on FR-4 substrate with a compact size of 30 mm3 × 20 mm3 × 1.6 mm3. The antenna is tuned to four different modes through three pin diode switches. In Mode 1 (SW1 to SW3 = OFF), antenna covers a wideband of 3.15–8.51 GHz. For Mode 2 (SW1 = ON, SW2 to SW3 = OFF), the proposed antenna resonates at 3.5 GHz. The antenna shows dual band behavior and covers 2.6 and 6.4 GHz in Mode 3 (SW1 and SW2 = ON, SW3 = OFF). The same antenna covers… More >

  • Open Access

    ARTICLE

    Reconfigurable Compact Wideband Circularly Polarised Dielectric Resonator Antenna for Wireless Applications

    Shahid Khan1,*, Xin Cheng Ren2, Haider Ali3, Camel Tanougast1, Abdul Rauf4, Safdar Nawaz Khan Marwat5, Muhammad Rizwan Anjum6

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2095-2109, 2021, DOI:10.32604/cmc.2021.016811

    Abstract In this work, a novel compact wideband reconfigurable circularly polarised (CP) dielectric resonator antenna (DRA) is presented. The L-shaped Dielectric resonator antenna is excited by an inverted question mark shaped feed. This arrangement of feed-line helps to generate two orthogonal modes inside the DR, which makes the design circularly polarised. A thin micro-strip line placed on the defected ground plane not only helps to generate a wideband response but also assist in the positioning of the two diode switches. These switches located at the left and right of the micro-strip line helps in performing two switching operations. The novel compact… More >

  • Open Access

    ARTICLE

    Accurate and Computational Efficient Joint Multiple Kronecker Pursuit for Tensor Data Recovery

    Weize Sun1, Peng Zhang1,*, Jingxin Xu2, Huochao Tan3

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2111-2126, 2021, DOI:10.32604/cmc.2021.016804

    Abstract This paper addresses the problem of tensor completion from limited samplings. Generally speaking, in order to achieve good recovery result, many tensor completion methods employ alternative optimization or minimization with SVD operations, leading to a high computational complexity. In this paper, we aim to propose algorithms with high recovery accuracy and moderate computational complexity. It is shown that the data to be recovered contains structure of Kronecker Tensor decomposition under multiple patterns, and therefore the tensor completion problem becomes a Kronecker rank optimization one, which can be further relaxed into tensor Frobenius-norm minimization with a constraint of a maximum number… More >

  • Open Access

    ARTICLE

    Experimental Study of Heat Transfer Enhancement in Solar Tower Receiver Using Internal Fins

    Hashem Shatnawi1,2,*, Chin Wai Lim2, Firas Basim Ismail3, Abdulrahman Aldossary1

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1693-1711, 2021, DOI:10.32604/cmc.2021.016741

    Abstract The receiver is an important element in solar energy plants. The principal receiver’s tubes in power plants are devised to work under extremely severe conditions, including excessive heat fluxes. Half of the tube’s circumference is heated whilst the other half is insulated. This study aims to improve the heat transfer process and reinforce the tubes’ structure by designing a new receiver; by including longitudinal fins of triangular, circular and square shapes. The research is conducted experimentally using Reynolds numbers ranging from 28,000 to 78,000. Triangular fins have demonstrated the best improvement for heat transfer. For Reynolds number value near 43,000… More >

Displaying 11861-11870 on page 1187 of 21887. Per Page