This paper represents different Digital Watermarking Techniques which permits an individual to add hidden copyright notice as well as any other verification messages to images so that it can be protected from the unauthorized access. Generally watermark is provided with two types one is visible watermark and other is invisible watermark. The main aim of paper is to explore the comparison of various digital image watermarking techniques and it also demonstrates that all these watermarking techniques provides image watermarking with full security and reasonable capacity.
The objective of the present chapter is to highlight applications of machine learning and artificial intelligence (AI) in clinical diagnosis of neurodevelopmental disorders. The proposed approach aims at recognizing behavioral traits and other cognitive aspects. The availability of numerous data and high processing power, such as graphic processing units (GPUs) or cloud computing, enabled the study of micro-patterns hundreds of times faster compared to manual analysis. AI, being a new technological breakthrough, enables study of human behavior patterns, which are hidden in millions of micro-patterns originating from human actions, reactions, and gestures. The chapter will also focus on the challenges in existing machine learning techniques and the best possible solution addressing those problems. In the future, more AI-based expert systems can enhance the accuracy of the diagnosis and prognosis process.
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