Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions

Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
English | 2023 | ISBN: 3031155416 | 551 Pages | PDF EPUB (True) | 38 MB
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 detection in cryptocurrencies framework.- Application of deep learning in blockchain enabled applications.- Conclusion.