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

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書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations影響因子(影響力)




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations影響因子(影響力)學(xué)科排名




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations網(wǎng)絡(luò)公開度




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations被引頻次




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations被引頻次學(xué)科排名




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations年度引用




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations年度引用學(xué)科排名




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations讀者反饋




書目名稱ITNG 2023 20th International Conference on Information Technology-New Generations讀者反饋學(xué)科排名

MARS

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.

即席

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

松雞

陳腐思想

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內(nèi)部

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-

增強(qiáng)

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.

macrophage

alliance

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.