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    Informatization process of wind and solar resource power generation: Empirical abstraction and packing algorithm

    DOI Logo 10.17352/tcsit.000065

    Published On: May 15, 2023 | Pages: 023 - 028

    Author(s): Jialin Li & Peng Zhao, Zongtao Yuan, Yingchao Li and Jing Zhang*

    ORCID Logo  0009-0007-5275-2545

    The development of software tools is critical to meeting the changing needs of the wind and solar resource generation industries. By identifying some of the limitations of existing systems, such as fragmentation in data query and plant management, as well as a lack of data resource management. In response to these issues, it is proposed to use a hybrid deep network mo ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    Numerical analysis of forming the tri-layer non-homogeneous bellows via the hydroforming process

    DOI Logo 10.17352/tcsit.000064

    Published On: April 01, 2023 | Pages: 016 - 022

    Author(s): Pezhman Ghanbari, Behnam Akhoundi* and Vahid Modanloo

    ORCID Logo  0000-0002-4283-1684

    Due to the complex and structural characteristics of non-homogeneous layers in hydroforming, their forming is a challenging process. In this research, the manufacturing process of three-layered bellows made of 304 stainless steel (two outer layers) and Inconel 718 (inner layer) is numerically investigated. The effects of different parameters on the forming of bellows ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    Neural networks are a methodological basis of materials genome

    DOI Logo 10.17352/tcsit.000063

    Published On: March 24, 2023 | Pages: 012 - 015

    Author(s): Victor S Abrukov*, Weiqiang Pang and Darya A Anufrieva
    Materials Genome is an analytical and calculation tool that: contains all relationships between all variables of the object; allows to calculate of the values of one part of variables through others; allows to solve of direct and inverse problems; allows to predict of the characteristics of objects, which have not been investigated experimentally yet; allows to predic ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    Exploring the user’s preferences of different adaptation policies in adaptive menu design

    DOI Logo 10.17352/tcsit.000062

    Published On: February 15, 2023 | Pages: 005 - 011

    Author(s): Prashant Poudel* and Sushil Shrestha
    Adaptive User Interfaces (AUIs) have been developed to improve the usability of products by adapting to the user, the platform, and the environment. However, there is a limited understanding of how different adaptation policies impact personalization and usability in adaptive menus. The present study aimed to investigate the effectiveness of different adaptation polic ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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    Effects of using augmented reality on students’ learning

    DOI Logo 10.17352/tcsit.000061

    Published On: February 07, 2023 | Pages: 001 - 004

    Author(s): António Faria and Guilhermina Lobato Miranda*

    ORCID Logo  0000-0003-4423-4522

    This article presents the results of a systematic review of the literature regarding the effects of using Augmented Reality (AR) on the learning of science students (Natural Sciences and Biology). The PRISMA methodology was used. Ten articles were selected from indexed journals, in a period of time between 2010 and 2022, after applying the inclusion and exclusion cri ... CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat
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