Advances in Computer Science (Volume -1)

Chapter

• The Role of Machine Learning in Big Data Analytics: A Systematic Review

  Shaurya Vir Singh Pathania

  1-12

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• Deep Learning Architectures: A Review of Convolutional, Recurrent, and Transformer Models

  Kalyani Ashok Bedekar

  13-26

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• Data Mining Techniques: Advances and Real-World Applications

  Samruddhi S. Tayade, Vinit A. Sinha

  27-38

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• Cybersecurity Trends: AI-Driven Threat Detection and Prevention

  Nilima D. Bobade, Swati S. Shereker

  39-50

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• Deep Learning Architectures: A Comprehensive Review of Models and Applications

  Mudita Sharma

  51-62

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• Recent Trends in Artificial Intelligence: From Machine Learning to Generative AI

  S. Radhimeenakshi

  63-75

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• Speech Recognition Systems: From Statistical Models to Neural Networks

  Asha N

  76-86

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• Smart Cities and IoT: Integration, Security, and Sustainability

  T.R. Premila

  87-99

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• Autonomous Systems and Robotics: An Overview of AI-Powered Innovations

  Sikander Hans, sonia

  100-111

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• Natural Language Processing: Advances, Challenges, and Opportunities

  Deepam Sharma, Priyanka

  112-125

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• Big Data Analytics: Tools, Techniques, and Industrial Applications

  Alka Devi, Surya Kant Singh

  126-137

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• Machine learning for Data Analysis and Decision Making

  Rohini Rangare

  138-149

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