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

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发表于 2025-3-21 18:41:13 | 显示全部楼层 |阅读模式
期刊全称6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
期刊简称BDCC 2023
影响因子2023Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanr
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发行地址Contains proceedings from 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing.Features topics ranging from data science for cognitive analysis to Internet-based
学科分类EAI/Springer Innovations in Communication and Computing
图书封面Titlebook: 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing; BDCC 2023 Anandakumar Haldorai,Arulmurugan Ram
影响因子.This book features the proceedings of the 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2023). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform..
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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 Strömungsfälle,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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