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Titlebook: ITNG 2023 20th International Conference on Information Technology-New Generations; Shahram Latifi Conference proceedings 2023 The Editor(s

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樓主
發(fā)表于 2025-3-21 19:07:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations
編輯Shahram Latifi
視頻videohttp://file.papertrans.cn/461/460536/460536.mp4
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: ITNG 2023 20th International Conference on Information Technology-New Generations;  Shahram Latifi Conference proceedings 2023 The Editor(s
描述This volume represents the 20th International Conference on Information Technology - New Generations (ITNG), 2023. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both.? Accordingly, we do not know of any competitive literature.
出版日期Conference proceedings 2023
關鍵詞Computer Science; Informatics; Conference Proceedings; Robotics; Computer networks; data mining; cybersecu
版次1
doihttps://doi.org/10.1007/978-3-031-28332-1
isbn_softcover978-3-031-28334-5
isbn_ebook978-3-031-28332-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:42:01 | 只看該作者
Conference proceedings 2023 publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both.? Accordingly, we do not know of any competitive literature.
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發(fā)表于 2025-3-22 02:04:08 | 只看該作者
2194-5357 emia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both.? Accordingly, we do not know of any competitive literature.978-3-031-28334-5978-3-031-28332-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
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A Two-Step Approach to Boost Neural Network Generalizability in Predicting Defective Softwareonsidered, the experiments’ results are biased towards a very high accuracy, leading to improper conclusions related to the generalizability of classifiers to practical uses. This study sheds light on those issues and points out promising results by proposing and testing the cross-project and cross-
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A Lightweight Mutual Authentication and Key Generation Scheme in IoV Ecosystemed to validate the proposed solution. The results demonstrate that the proposed scheme is robust against various attacks with less computation complexity compared to the current solutions in the literature.
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Streaming Platforms Based on Blockchain Technology: A Business Model Impact Analysisics using smart contracts. Based on the results found, there is a lack of studies that assess the financial and governance feasibility of maintaining all of a streaming platform’s functionalities using blockchain technology.
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