Cover image for Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
Title:
Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
Author:
Pandey, Sarvesh. editor.
ISBN:
9783031155420
Edition:
1st ed. 2023.
Physical Description:
XIV, 338 p. 131 illus., 81 illus. in color. online resource.
Series:
EAI/Springer Innovations in Communication and Computing,
Contents:
Introduction -- One World One Identification Smart System -- Tiered Architectural View of IoT: Structural Analysis and Concerns -- Rethinking Real-Time Applications in the current big data perspective -- Accuracy of Machine Learning Algorithms in predicting Retinal Disease -- A Cloud Trustworthiness Assessment Algorithm -- Improving Security in IoT devices -- Data backup Techniques for Healthcare Systems -- Role of Distributed Mutual Exclusion Algorithm -- Anomaly detection system in health care system enabled in blockchain technology framework -- Artificial intelligence-based Outlier Prediction -- Machine Learning in OpenFlow Network -- Defense Machinery Against Sybil Attacks over Wireless Ad-hoc Network on IoT -- Decentralized application development for health care using smart contracts -- Role of IoT in Healthcare -- Improved Breast Cancer Classification Using K-Means & Logistic Regression -- Sentimental Analysis -- IoT and Smart city -- Blockchain technology-based applications -- Anomaly detectionin cryptocurrencies framework -- Application of deep learning in blockchain enabled applications -- Conclusion.
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