Advances in Computer Science (Volume -1)

Chapter

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

  Shaurya Vir Singh Pathania Volumes

  1-12

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

  Kalyani Ashok Bedekar Volumes

  13-26

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• Data Mining Techniques: Advances and Real-World Applications

  Samruddhi S. Tayade Volumes, Vinit A. Sinha Volumes

  27-38

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• Cybersecurity Trends: AI-Driven Threat Detection and Prevention

  Nilima D. Bobade Volumes, Swati S. Shereker Volumes

  39-50

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

  Mudita Sharma Volumes

  51-62

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

  S. Radhimeenakshi Volumes

  63-75

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• Speech Recognition Systems: From Statistical Models to Neural Networks

  Asha N Volumes

  76-86

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

  T.R. Premila Volumes

  87-99

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

  Sikander Hans Volumes, sonia Volumes

  100-111

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• Natural Language Processing: Advances, Challenges, and Opportunities

  Deepam Sharma Volumes, Priyanka Volumes

  112-125

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

  Alka Devi Volumes, Surya Kant Singh Volumes

  126-137

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• Machine learning for Data Analysis and Decision Making

  Rohini Rangare Volumes

  138-149

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