Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2022 - Asis Kumar Tripathy

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Advances in Distributed Computing and Machine Learning

Proceedings of ICADCML 2022

By: Asis Kumar Tripathy (Editor), Soumya Kanti Ghosh (Editor), Rashmi Ranjan Rout (Editor), Prasanta K. Jana (Editor), Kuan-Ching Li (Editor)

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Paperback | 28 July 2022

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752 Pages

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23.7 x 15.9 x 4.4

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$249.00

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Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges and Applications.- Security and Challenges for Blockchain Integrated Fog Enabled IoT Applications.- MLP Deep Learning Based DDoS Attack Detection Framework for Fog Computing.- Active VM Placement Approach Based on Energy Efficiency in Cloud Environment.- Security Enhancement in Cloud Environment using Modified Key Based Crypto Method.- RFID-Based Authentication Scheme for Secure Access of Medical Data in IoT-Enabled Health Environments.- FML Framework: Function Triggered ML-as-a-Service for IoT Cloud Applications.- A New Approach for Processing Raster Geospatial Big Data in Distributed Environment.- An Efficient Service Selection Algorithm for Cloud Computing.- Transaction and QoS-Driven Composition of Web Services using Modified Grey Wolf Optimization with TOPSIS and AHP.

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