2024 Real-Time Intelligent Systems

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.

. - 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.