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153 results for “Network Structure”
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Research ArticleOpen accessPhrase in the titleCommunity Based Organic Farming and Social Capital in Different Network Structures: Studies in Two Farming Communities in BangladeshM. Hammadur Rahman, Masahiro YamaoThe main purpose of this study was to assess the status of social capital in different networks of two farming communities (organic and conventional farming) in Tangail district of Bangladesh. Social trust and reciprocity existed in the community were measured in informal, generalized and institutional networks of these two communities. The study was conducted by administering questionnaire survey among the … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 2 · 30 Jun 2007 · 8,742 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure LearningBeatriz Wilges, Ademar Crotti Junior, Silvia Modesto NassarBayesian network structure learning is considered a complex task as the number of possible structures grows exponentially with the number of variables. Two main methods are used for Bayesian network structure learning: Conditional independence, a method in which a structure is created consistently with independence tests performed on data; and the heuristic search method that explores the structure space. Hybrid … …Journal of Computer Science, Vol. 14, Issue 8 · 24 Aug 2018 · 8,243 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLow-Homology Protein Structural Class Prediction from Secondary Structure Based on Visibility and Horizontal Visibility NetworkZhi-Qin Zhao, Liang Luo, Xiao-Yan LiuIn this study, based on the predicted secondary structures of proteins, we propose a new approach to predict protein structural classes (α,β,α/β,α+β) for three widely used low-homology data sets. Fist, we obtain two time siries from the chaos game representation of each predicted secondary structure; second, based on two time series, we construct visibility and horizontal visibility network, respectively and … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 1 · 12 Mar 2018 · 9,668 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCreep predicting model in masonry structure utilizing dynamic neural networkMustafa M. Abed, A. El-Shafie, Siti Aminah Bt. OsmanProblem statement: When the loads are applied to a brickwork structure, visco-elastic behavior upon their stress-strain relationships is exhibited, where the response can be classified into two separate parts: an instantaneous elastic strains and time-dependent creep strains. The creep strain represents the non- instantaneous strain that happens with time when the stress is sustained. Through the previous century, along with … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,627 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Artificial Neural Network Based Approach for Mortality Structure AnalysisSokolova M. Kursk, Rashad J. Rasras, D. SkopinThe theoretical outcomes and experimental results of applying of Artificial Neural Networks towards mortality structure examination in Russian Federation are presented in the paper. The most influencing classes of diseases are selected by sensitivity analysis. It is proved that Neural Network Models appear to be an adequate tool for mortality structure examination. Some interesting results for males and females total … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Sep 2006 · 7,056 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDefect Detection on 3D Print Products and in Concrete Structures Using Image Processing and Convolution Neural NetworkSelorm Garfo, M.A. Muktadir, Sun YiThis paper explores the automated detection of surface defects on 3-D printed products and concrete structures. They are the main factors to evaluate their quality in addition to dimension and roughness. Traditional detection by human inspectors is far from satisfactory. Manual inspection is time-consuming, error-prone and often leads to loss of resources. For this purpose, image processing and deep learning-based … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 26 May 2020 · 12,608 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Influential Nodes With Topological Structure Via GRAPH Neural Network (GNN) Approach in Social Media NetworksRajnish Kumar, Laxmi Ahuja, Suman Mann, Sanmukh KaurThe amount of data in social networks is vast these days, and constantly changing, making influential node identification crucial. The existing topologies are constantly changing due to the evolving behavior of the applied dataset. Node and leaf topology or feature-based value form the basis for machine learning and centrality computation. Hence, influential node value determination is based on the node … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,830 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBlockchain-NFV for Smart Digital and Secure Physical Structures in E-Government, Healthcare, and Network SystemsHayder Abdulsattar Nahi, Ebtehal Akeel Hamed, Rusul A. Salman, Akmam Majed MosaThis paper proposed a combined model that melds Blockchain technology with Network Function Virtualization (NFV) to promote many areas, such as smart, secure, and scalable physical and digital infrastructures in E-Government, Healthcare, and Network Systems. The model treats the principal objections in conventional systems, including centralization, slowed service deployment, and restricted safety. By employing decentralized Digital Identity Decentralized identifiers (DIDs), … …Journal of Computer Science, Vol. 22, Issue 4 · 21 Apr 2026 · 1,319 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,079 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Model for the Effectiveness of Hibernate on Complex Ecology SystemLingli Pei, Jiangdong Liao, Hongjun WangThere are significant differences between plant activities and animal activities in ecological networks. On this basis, this article aims to evaluate the effectiveness of the hibernate (forgetting and remembering mechanism). For this purpose, the hibernation interaction is derived model (linear UAH model) of continuous-time individual-level activity. This model is an effective approach to understand the effectiveness of the construction of … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 21 Apr 2021 · 6,349 accessesView PDFCite