ARTIFICIAL INTELLIGENCE FOR SEGMENTATION, IDENTIFICATION, AND INTERACTION
Synopsis
Artificial Intelligence for Segmentation, Identification, and Interaction explores how artificial intelligence (AI) revolutionises industries by replicating human intelligence to solve complex problems and make strategic decisions. It discusses how businesses can utilise advanced AI-driven techniques like machine learning and natural language processing to extract valuable insights from large datasets, leading to improved decision-making and productivity. The book emphasises the advantages of AI-driven data analysis, such as quicker processing, enhanced accuracy, and task automation, and it provides real-world examples from various sectors. Additionally, it addresses the challenges of deploying AI, such as data aggregation and model refinement. The book underscores AI’s potential to foster growth and innovation by enabling scalability, efficiency, and cost-effectiveness across industries. AI’s potential to drive growth and innovation by allowing scalability, efficiency, and cost-effectiveness across sectors.
Chapters
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CHAPTER 1INTRODUCTION TO ARTIFICIAL INTELLIGENCE
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CHAPTER 2TASK CLASSIFICATION IN EDGE-CLOUD
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CHAPTER 3LEAF SEGMENTATION WITH HSV-SAM
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CHAPTER 4RESNET-50 FOR WASTE IDENTIFICATION
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CHAPTER 5HUMAN-OBJECT INTERACTION DETECTION
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CHAPTER 6HANDWRITTEN CHARACTER RECOGNITION