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Book Synopsis

Evaluation of ACL Tears in Knee with MRI Scanning system using Transformer and Deep Learning.- Bayesian and Box Behnken Design for XGboost Hyperparameters on Energy Consumption Profile Model Optimisation.- Automated Greenhouses: IoT-Driven Climate Control.- Speech Emotion Recognition Using a CNN-Transformer  Approach on Diverse Datasets.- Ensemble Learning for Automated Recognition of    Candlestick Patterns in Financial Markets.- Integrating AI and NLP for Adaptive Mental Health Chatbots: A Hybrid Approach.- AI Systems Real-Time Focused Screening of Diabetic Retinopathy Using Deep Learning.- Optimizing Pothole Detection Using YOLO Variants: v5, v7, and v8 Performance Benchmark.- Advancements in Astronaut Health Monitoring Technologies.- Melanoma Tumor Size Prediction: A Comparative Study on the Effectiveness of Different Machine Learning Models.

Smart Computing Paradigms Intelligent Solutions for Sustainable Wellbeing

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    A Paperback by Vikrant Bhateja

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      Publisher: Springer
      Publication Date: Publication Date: 14/11/2025
      ISBN13: 9783032082459, 978-3032082459
      ISBN10:
      Also in:
      Communications engineering / telecommunications

      Description

      Book Synopsis

      Evaluation of ACL Tears in Knee with MRI Scanning system using Transformer and Deep Learning.- Bayesian and Box Behnken Design for XGboost Hyperparameters on Energy Consumption Profile Model Optimisation.- Automated Greenhouses: IoT-Driven Climate Control.- Speech Emotion Recognition Using a CNN-Transformer  Approach on Diverse Datasets.- Ensemble Learning for Automated Recognition of    Candlestick Patterns in Financial Markets.- Integrating AI and NLP for Adaptive Mental Health Chatbots: A Hybrid Approach.- AI Systems Real-Time Focused Screening of Diabetic Retinopathy Using Deep Learning.- Optimizing Pothole Detection Using YOLO Variants: v5, v7, and v8 Performance Benchmark.- Advancements in Astronaut Health Monitoring Technologies.- Melanoma Tumor Size Prediction: A Comparative Study on the Effectiveness of Different Machine Learning Models.

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