The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

By Dinesh Peter, this book delves into the rapid development of the Internet of Things (IoT) and its application in smart cities, particularly in surveillance tracking systems. It emphasizes the need for efficient surveillance tracking systems in the Big Data era, requiring the capability to quickly abstract useful information from vast amounts of data.

Key Concepts and Challenges

The book presents concepts aimed at creating automated IT systems capable of resolving problems without human intervention. It covers critical issues in surveillance tracking systems, cognitive cloud architecture, and research opportunities in cognitive computing for surveillance tracking systems.

Topics Covered

The book discusses various topics including:

• Cognitive computing architectures and approaches
• Cognitive computing and neural networks
• Complex analytics and machine learning
• Design of a symbiotic agent for recognizing real space in ubiquitous environments

Machine Learning Applications

It covers supervised regression and classification methods, clustering and dimensionality reduction methods, model development for machine learning applications, and intelligent machines and deep learning networks.

Scalable Environments and Privacy

The book also includes coverage of cognitive computing models for scalable environments, privacy and security aspects of surveillance tracking systems, strategies and experiences in cloud architecture and service platform design.