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Book Synopsis

.- 1 Adaptive Traffic Light Control through Reinforcement Learning based on Sensor Integration.

.- 2 Improvement of anomaly detection through enhanced feature extraction in TimesNet.

.- 3 An Explainable AI framework for comparative analysis of the model explanations in Breast Cancer Prediction.

.- 4 Enhancing Power Forecasting Through Contextual Awareness With C-Means and K-Means Approaches.

.- 5 Development and Assessment of a System to Help Students Improve Self-Compassion.

.- 6 Leveraging Machine Learning and Deep Learning Models for Enhanced Stock Price Prediction: A State-of-the-Art Analysis.

.- 7 Type-Theory of Algorithms with Chain-Free Memory, etc.

Distributed Computing and Artificial Intelligence 21st International Conference

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    A Paperback by Ravikumar Chinthaginjala

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      Publisher: Springer
      Publication Date: Publication Date: 08/03/2025
      ISBN13: 9783031820724, 978-3031820724
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      .- 1 Adaptive Traffic Light Control through Reinforcement Learning based on Sensor Integration.

      .- 2 Improvement of anomaly detection through enhanced feature extraction in TimesNet.

      .- 3 An Explainable AI framework for comparative analysis of the model explanations in Breast Cancer Prediction.

      .- 4 Enhancing Power Forecasting Through Contextual Awareness With C-Means and K-Means Approaches.

      .- 5 Development and Assessment of a System to Help Students Improve Self-Compassion.

      .- 6 Leveraging Machine Learning and Deep Learning Models for Enhanced Stock Price Prediction: A State-of-the-Art Analysis.

      .- 7 Type-Theory of Algorithms with Chain-Free Memory, etc.

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