Analysis of Multi-Source Data Streaming with Soft Computing
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The exponential growth of data generated from cameras, sensors, social media, and the public web has created both opportunities and challenges. While this data holds immense potential for extracting meaningful insights, its heterogeneity and volume make processing and analysis a daunting task. Among the various data formats, video data has emerged as a critical area of focus due to its widespread applications in surveillance, healthcare, security, smart cities, traffic management, and more.Analysis of Multi-Source Data Streaming with Soft Computing," is a culmination of our research and effort...
The exponential growth of data generated from cameras, sensors, social media, and the public web has created both opportunities and challenges. While this data holds immense potential for extracting meaningful insights, its heterogeneity and volume make processing and analysis a daunting task. Among the various data formats, video data has emerged as a critical area of focus due to its widespread applications in surveillance, healthcare, security, smart cities, traffic management, and more.Analysis of Multi-Source Data Streaming with Soft Computing," is a culmination of our research and efforts to address the challenges associated with multi-source data analysis, particularly in the context of video analytics. The book is designed to provide a comprehensive understanding of the techniques and methodologies required to process, analyze, and summarize multi-source data streams efficiently. We focus on leveraging soft computing techniques, such as fuzzy logic, neural networks, evolutionary algorithms, and swarm intelligence, to develop robust and scalable solutions for real-time data analysis.
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