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Description
In the rapidly advancing field of Intelligent Computing, tracking, monitoring, synthesizing, and inferencing real-time data is becoming a crucial field of interest. This will impact several research themes, including all sub-domains of AI. The significance of real-time data processing lies in their ability to produce remarkably realistic implications, thereby mitigating challenges associated with intelligence capturing. This compendium reflects the recent progress in real-time intelligence, sensing the innovative approaches and addressing the challenges. It includes both core research and various applications in various disciplines. This publication enables young researchers and master’s students to understand the requirements for initiating research in real-time computing.
Table of Contents
.- Algorithm Course Ideological and Political Construction and Teaching Practice under the Big Data Mining Framework.- Design and Analysis of the BlockCryptoCloud Algorithm on Cryptography.- A Novel PySpark Model in Predicting Vietnamese Students’ Sentiment.- Evaluation of Financial Information Quality of Northwest Listed Companies Based on Artificial Neural Networks, etc.
