ARTIFICIAL INTELLIGENCE FOR SEGMENTATION, IDENTIFICATION, AND INTERACTION

Authors

ZURIAHATI MOHD YUNOS (ed)
NOR ERNE NAZIRA BAZIN (ed)

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

  • CHAPTER 1
    INTRODUCTION TO ARTIFICIAL INTELLIGENCE
    ZURIAHATI MOHD YUNOS, NOR ERNE NAZIRA BAZIN
  • CHAPTER 2
    TASK CLASSIFICATION IN EDGE-CLOUD
    Danlami Gabi, Muhammad Nasiru Dankolo, Noorfa Hazlinna Mustaffa, Nor Haizan Mohamed Radzi
  • CHAPTER 3
    LEAF SEGMENTATION WITH HSV-SAM
    Ahmed Hashim Taha Salim, Azlan Mohd Zain, Mohamad Shukor Talib, NOR ERNE NAZIRA BAZIN
  • CHAPTER 4
    RESNET-50 FOR WASTE IDENTIFICATION
    Dewi Nasien, M. Hasmil Adiya, Mochammad Farkhan, Yusliza Yusoff
  • CHAPTER 5
    HUMAN-OBJECT INTERACTION DETECTION
    ZURIAHATI MOHD YUNOS, Habibollah Haron, Jiali Zhang
  • CHAPTER 6
    HANDWRITTEN CHARACTER RECOGNITION
    Jamilah Mahmood, Muhammad Aliif Ahmad, Muhammad Arif Mohamad

Published

16 December 2024

Series

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