Titlebook: Artificial Intelligence for Cloud and Edge Computing; Sanjay Misra,Amit Kumar Tyagi,Lalit Garg Book 2022 The Editor(s) (if applicable) and

MOAN

Privacy and Trust Models for Cloud-Based EHRs Using Multilevel Cryptography and Artificial Intelligonic health record (EHR) ends. Also, an artificial intelligence (AI) approach, which is referred to as subjective logic-based belief or reasoning model, was used towards measuring the trustworthiness of the medical personnel. Metrics such as the average system computation time otherwise referred to

鑒賞家

神化怪物

Optimization Model of Smartphone and Smart Watch Based on Multi Level of Elitism (OMSPW-MLE),y being complex as there are more than one relationship linking each node with other nodes. These relationships have 18 activities that can be accomplished by each person using a smartphone and a smart watch. (3) The DSA algorithm was proposed as a tool to find the most influential nodes in complex

刺穿

K-Nearest Neighbour Algorithm for Classification of IoT-Based Edge Computing Device, matrix in terms of accuracy was used to evaluate the system. The result of the experiment shows an 85% accuracy which outperformed other methods that have been suggested and compared within the literature. However, this study proves to be relevant and can be adopted for better efficiency in IoT and

Devastate

胰島素

Genetic Algorithm-Based Pseudo Random Number Generation for Cloud Security,length by the able utilization of the genetic algorithm. We have carried out various statistical tests to uphold the strength of the generated key sequences. Amongst them, hybrid model generated a higher range of 13,425 subsequences, a chi-square value of 2.862 which is way better than a critical st

Nefarious

Corporeal

System Level Knowledge Representation for Edge Intelligence,ses challenges and complexities associated with the knowledge domain (gap analysis) of contemporary IoT architectures and proposes a system-wide view of the IoT stack which has been developed following a classical structured approach in system engineering requirement and needs analysis and model eng

Locale

AI-JasCon: An Artificial Intelligent Containerization System for Bayesian Fraud Determination in Corchitecture is introduced for deterministic data mining while creating Bayesian computation to determine fraud potentials through prior, posterior, and joint probability distributions. AI-JasCon framework achieves predictive fraud detection with containerization and modularization using class models

EVICT