Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (70)
  • Open Access

    ARTICLE

    Trustworthy Explainable Recommendation Framework for Relevancy

    Saba Sana*, Mohammad Shoaib

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5887-5909, 2022, DOI:10.32604/cmc.2022.028046

    Abstract Explainable recommendation systems deal with the problem of ‘Why’. Besides providing the user with the recommendation, it is also explained why such an object is being recommended. It helps to improve trustworthiness, effectiveness, efficiency, persuasiveness, and user satisfaction towards the system. To recommend the relevant information with an explanation to the user is required. Existing systems provide the top-k recommendation options to the user based on ratings and reviews about the required object but unable to explain the matched-attribute-based recommendation to the user. A framework is proposed to fetch the most specific information that matches More >

  • Open Access

    ARTICLE

    Multi-Layer and Multi-Objective Optimization Design of Supporting Structure of Large-Scale Spherical Solar Concentrator for the Space Solar Power Station

    Yang Yang, Jun Hu, Lin Zhu*, Mengchen Pei

    Journal of Renewable Materials, Vol.10, No.11, pp. 2835-2849, 2022, DOI:10.32604/jrm.2022.021840

    Abstract Space solar power station is a novel renewable energy equipment in space to provide the earth with abundant and continuous power. The Orb-shaped Membrane Energy Gathering Array, one of the alternative construction schemes in China, is promising for collecting space sunlight with a large-scale spherical concentrator. Both the structural and optical performances such as root mean square deformation, natural frequency, system mass, and sunlight blocking rate have significant influences on the system property of the concentrator. Considering the comprehensive performance of structure and optic, this paper proposes a novel mesh grid based on normal polyhedron… More > Graphic Abstract

    Multi-Layer and Multi-Objective Optimization Design of Supporting Structure of Large-Scale Spherical Solar Concentrator for the Space Solar Power Station

  • Open Access

    ARTICLE

    Group Decision-Making Method with Incomplete Intuitionistic Fuzzy Preference Relations Based on a Generalized Multiplicative Consistent Concept

    Xiaoyun Lu1, Jiuying Dong2,3,*, Hecheng Li1, Shuping Wan4

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 881-907, 2022, DOI:10.32604/cmes.2022.020598

    Abstract Based on the analyses of existing preference group decision-making (PGDM) methods with intuitionistic fuzzy preference relations (IFPRs), we present a new PGDM framework with incomplete IFPRs. A generalized multiplicative consistent for IFPRs is defined, and a mathematical programming model is constructed to supplement the missing values in incomplete IFPRs. Moreover, in this study, another mathematical programming model is constructed to improve the consistency level of unacceptably multiplicative consistent IFPRs. For group decisionmaking (GDM) with incomplete IFPRs, three reliable sources inuencing the weights of experts are identified. Subsequently, a method for determining the weights of experts More >

  • Open Access

    ARTICLE

    Conceptual Modeling and Simulation Application Analysis of In-service Assessment

    Jian-Hua Luo1, Xi Chen1,*, Hua Li1, Yu-Hang Zhou1, Jing-Wen Li2

    Journal of Information Hiding and Privacy Protection, Vol.4, No.1, pp. 53-60, 2022, DOI:10.32604/jihpp.2022.032109

    Abstract Firstly, this paper expounds the conceptual connotation of in-service assessment in the new system, then applies modeling and Simulation in the field of in-service assessment, establishes the conceptual model of in-service assessment and its process, and finally analyzes the application of modeling and simulation in the specific links of in-service assessment. More >

  • Open Access

    ARTICLE

    Glycated Hemoglobin HbA1c: Permittivity Experimental Applications with Some Mathematical Concepts, Temperature and Frequency Variations

    Soliman Abdalla1,2,*, Sherif Kandil2, Waleed El-Shirbeeny1, Fatma Bahabri1,3

    Journal of Renewable Materials, Vol.10, No.9, pp. 2335-2354, 2022, DOI:10.32604/jrm.2022.021211

    Abstract Diabetes disorder turns smoothly to be a global epidemic disorder and the glycated hemoglobin (HbA1c) starts to be an efficient marker of it. The dielectric spectroscopy on different human normal- and diabetic-blood samples is used to characterize and to estimate the HbA1c concentration. “dc-” and ac-measurement of the complex conductivity in the temperature range from 280 K up to 320 K, and in the frequency range from one Hz up to 32 MHz have been performed. The thermal activation energy, ΔEσ, of dc-electric conductivity lies in the range 95 meV < ΔEσ < 115 meV; while… More >

  • Open Access

    ARTICLE

    Shallow Neural Network and Ontology-Based Novel Semantic Document Indexing for Information Retrieval

    Anil Sharma1,*, Suresh Kumar2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1989-2005, 2022, DOI:10.32604/iasc.2022.026095

    Abstract Information Retrieval (IR) systems are developed to fetch the most relevant content matching the user’s information needs from a pool of information. A user expects to get IR results based on the conceptual contents of the query rather than keywords. But traditional IR approaches index documents based on the terms that they contain and ignore semantic descriptions of document contents. This results in a vocabulary gap when queries and documents use different terms to describe the same concept. As a solution to this problem and to improve the performance of IR systems, we have designed… More >

  • Open Access

    ARTICLE

    Generating Intelligent Remedial Materials with Genetic Algorithms and Concept Maps

    Che-Chern Lin*, Chien-Chun Pan

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1333-1349, 2022, DOI:10.32604/iasc.2022.025387

    Abstract This study proposes an intelligent remedial learning framework to improve students’ learning effectiveness. Basically, this framework combines a genetic algorithm with a concept map in order to select a set of remedial learning units according to students’ weaknesses of learning concepts. In the proposed algorithm, a concept map serves to represent the knowledge structure of learning concepts, and a genetic algorithm performs an iteratively evolutionary procedure in order to establish remedial learning materials based on students’ understanding of these learning concepts. This study also conducted simulations in order to validate the proposed framework using artificially More >

  • Open Access

    ARTICLE

    Conceptual Design Process for LEO Satellite Constellations Based on System Engineering Disciplines

    Ali Salehi, Mahdi Fakoor*, Amirreza Kosari, Seyed Mohammad Navid Ghoreishi

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 599-618, 2022, DOI:10.32604/cmes.2022.018840

    Abstract Satellite design process is an interdisciplinary subject in which the need for collaboration among various science and engineering disciplines is evident. Meanwhile, finding an optimal process for conceptual design of a satellite, which can optimize time and cost, is still an important issue. In this paper, based on system engineering approach, an optimal design process is proposed for LEO satellite constellations. In the proposed method, design process, design sequences, and data flow are established. In this regard, the conceptual design process is divided into two levels of mission (or constellation) and system (or satellite) as More >

  • Open Access

    ARTICLE

    Embedding Extraction for Arabic Text Using the AraBERT Model

    Amira Hamed Abo-Elghit1,*, Taher Hamza1, Aya Al-Zoghby2

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1967-1994, 2022, DOI:10.32604/cmc.2022.025353

    Abstract Nowadays, we can use the multi-task learning approach to train a machine-learning algorithm to learn multiple related tasks instead of training it to solve a single task. In this work, we propose an algorithm for estimating textual similarity scores and then use these scores in multiple tasks such as text ranking, essay grading, and question answering systems. We used several vectorization schemes to represent the Arabic texts in the SemEval2017-task3-subtask-D dataset. The used schemes include lexical-based similarity features, frequency-based features, and pre-trained model-based features. Also, we used contextual-based embedding models such as Arabic Bidirectional Encoder… More >

  • Open Access

    ARTICLE

    Definition and Development of a Control Concept Applied in Elements Distributed for Manage Them Using IoT

    Jesus Hamilton Ortiz1, Osamah Ibrahim Khalaf2, Fernando Velez Varela3,*, Nicolas Minotta Rodriguez3, Christian Andres Mosquera Gil3

    Journal on Internet of Things, Vol.3, No.3, pp. 87-97, 2021, DOI:10.32604/jiot.2021.014737

    Abstract In recent years, the Internet has gradually developed into a mature tool, which can integrate technologies involved in different application scenarios. The Internet allows the integration of solutions to different problems, which benefits both users and companies. The Internet of Things is a further development of the Internet, which can further realize the interconnection of people, machines, and things. The work of this paper mainly focuses on the use of Internet of Things technology to achieve efficient management. A wireless device is designed in the paper, which can be integrated in a helmet. This helmet More >

Displaying 21-30 on page 3 of 70. Per Page