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Titlebook: Expert Clouds and Applications; Proceedings of ICOEC I. Jeena Jacob,Francisco M. Gonzalez-Longatt,Ivan Conference proceedings 2022 The Edi

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書目名稱Expert Clouds and Applications
副標(biāo)題Proceedings of ICOEC
編輯I. Jeena Jacob,Francisco M. Gonzalez-Longatt,Ivan
視頻videohttp://file.papertrans.cn/320/319134/319134.mp4
概述Presents recent research in the field of cloud computing.Discusses the outcomes of ICOECA 2021, held in Bangalore, India.Serves as a reference guide for researchers and practitioners in academia and i
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Expert Clouds and Applications; Proceedings of ICOEC I. Jeena Jacob,Francisco M. Gonzalez-Longatt,Ivan  Conference proceedings 2022 The Edi
描述.This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies..
出版日期Conference proceedings 2022
關(guān)鍵詞Clouding Computing; Evolutionary Computing; Cognitive Intelligence; Cognitive Communication Networks; Ar
版次1
doihttps://doi.org/10.1007/978-981-16-2126-0
isbn_softcover978-981-16-2125-3
isbn_ebook978-981-16-2126-0Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Flanker Task-Based VHDR Dataset Analysis for Error Rate Prediction,the analysis. Once the analysis is done, we can get the error rate of a person performing the task. We used this as a tool to increase the concentration levels and give the person feedback after every trial.
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Classification of Idiomatic Sentences Using AWD-LSTM,AWD-LSTM) model and universal language model fine-tuning (ULMFiT) for transfer learning to fine-tune the language model. The proposed model has been evaluated using precision, recall and F1-score metrics. The proposed model has been tested with the TroFi metaphor dataset and an in-house dataset and
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IoT-Based Smart Helmet for Riders,eforth, it is impossible for motorcyclists to start the bike without a helmet. The helmet is designed using a microswitch with TX module. The bike key is controlled by the signal from RFID-based secured card with RX module. On receiving a signal from the helmet, the device works according to the rec
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,Lightweight Logic Obfuscation in Combinational Circuits for Improved Security—An Analysis,nted in this paper which shows the appropriateness and requirement of a lightweight obfuscation scheme. Lightweight schemes are essential for intelligent systems and also for preventing attacks at the hardware level. The output corruption in terms of hamming distance and Jaro distance measure proves
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