Trends in Computer Science and Information Technology Submit Manuscript
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    A simple Node-RED implementation for digital twins in the area of manufacturing

    DOI Logo 10.17352/tcsit.000068

    Published On: August 25, 2023 | Pages: 050 - 054

    Author(s): Blessing Ngonidzashe Musungate* and Tuncay Ercan

    ORCID Logo  0009-0003-3738-5901

    Interest in digital twins continues to strengthen with technological advancements in Industrial IoT. A digital twin is a virtual representation that models a physical object and effectively provides a two-way interaction with the real system. Digital twin models can be set up to test or analyze industrial applications before deployment thereby improving the efficiency ... 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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    Detection of electricity theft in developing countries-A machine learning approach

    DOI Logo 10.17352/tcsit.000067

    Published On: August 18, 2023 | Pages: 038 - 049

    Author(s): Leonardo Grant*, Haniph Latchman and Kolapo Alli

    ORCID Logo  0000-0002-7820-8042

    In developing countries, energy theft negatively affects the growth of utilities through loss of revenue and damage to the grid. The size and variety of the utility data set require extracting meaningful features to counter theft, which is difficult and computationally expensive. Recent developments have made machine learning more accessible to researchers, enabling i ... 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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    Security and privacy in federated learning: A survey

    DOI Logo 10.17352/tcsit.000066

    Published On: August 16, 2023 | Pages: 029 - 037

    Author(s): Dasaradharami Reddy Kandati* and S Anusha
    Federated Learning (FL) allows multiple nodes without actually sharing data with other confidential nodes to retrain a common model. This is particularly relevant in healthcare applications, where data such as medical records are private and confidential. Although federated learning avoids the exchange of actual data, it still remains possible to fight protection on p ... 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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    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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