Titlebook: 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing; BDCC 2023 Anandakumar Haldorai,Arulmurugan Ram

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書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing影響因子(影響力)

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing影響因子(影響力)學科排名

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing網(wǎng)絡(luò)公開度

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing網(wǎng)絡(luò)公開度學科排名

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing被引頻次

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing被引頻次學科排名

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing年度引用

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing年度引用學科排名

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing讀者反饋

書目名稱6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing讀者反饋學科排名

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https://doi.org/10.1007/978-3-031-54696-9Informatics; Conference Proceedings; Big Data; Ubiquitous Data Science; Internet-Based Cognitive Platfor

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978-3-031-54698-3European Alliance for Innovation 2024

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6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing978-3-031-54696-9Series ISSN 2522-8595 Series E-ISSN 2522-8609

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https://doi.org/10.1007/978-3-663-05136-7 subjected to an unrelenting onslaught of traffic while simultaneously being expected to maintain a high level of service. It has become clear that the limits of previously used routing protocols are exposed by 5G-based MANETs. In this study, we propose an innovative modification to the CNN-AODV pro

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,Die verschiedenen Str?mungsf?lle,ing these batteries, assessing the battery’s state of health (SOH) is crucial to enhance their safety. This research presents a technique for forecasting the remaining useful life (RUL) and SOH using the incremental capacity (IC) curve, constant current time (CC-Time), constant current value, and ot

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