Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
tarafından
 
Pandey, Sarvesh. editor.

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

Yazar
Pandey, Sarvesh. editor.

ISBN
9783031155420

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
XIV, 338 p. 131 illus., 81 illus. in color. online resource.

Seri
EAI/Springer Innovations in Communication and Computing,

İçerik
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.

Konu Terimleri
Telecommunication.
 
Data mining.
 
Business information services.
 
Computational intelligence.
 
Communications Engineering, Networks.
 
Data Mining and Knowledge Discovery.
 
IT in Business.

Yazar Ek Girişi
Pandey, Sarvesh.
 
Shanker, Udai.
 
Saravanan, Vijayalakshmi.
 
Ramalingam, Rajinikumar.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-031-15542-0


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