Description

Book Synopsis

.- Machine Learning and Deep Learning.

.- A Novel Smart Facial Features for Real-Time Motorists Sleepiness Prediction and Alerting System Using Hybrid Convolutional Neural Network in Computer Vision.

.- Enhancing Power Transformer Reliability with Machine Learning-Based Fault Detection and Data Analysis.

.- Type 2 Diabetes Prediction using Machine Learning: A Game-Changer for Healthcare.

.- Classification and Prognosis of Brain Tumors in MRI Images Using Deep Learning.

.- Improving Breast Cancer Prediction with Validation: Optimized feature.

.- Diabetes Prediction Precision: Evaluating XGBoost and LightGBM Performance with IQR Preprocessing.

.- Enhancing Cardiovascular Health Prediction: A Machine Learning Perspective.

.- Measuring AI's Impact on HR Strategies and Operational Effectiveness in the Era of Industry 4.0.

.- Implementation of deep learning and machine learning for designing and analyzing IDS (Intrusion detection System) through Novel framework.

.- Performance Evaluation of Medicinal Leaf Classification Using DeepLabv3 and ML Classifiers.

.- Android App Permission Detector based on Machine Learning Models.

.- Histopathological Analysis Advancements in Deep Learning for the Diagnosis of Lung and Colon Cancer with Ex-planatory Power via Visual Saliency.

.- Deep Learning Approaches for Chest X-Ray-Based Covid-19 Identification.

.- Pattern and Speech Recognition.

.- Bi-LSTM based Speech Emotion Recognition.

.- Real Time Voice Language Interaction.

.- Exploring In-Context Learning: A Deep Dive into Model Size, Templates, and Few-Shot Learning for Text Classification.

.- Unlocking Complexity: Traversing Varied Hurdles in Punjabi Newspaper Recognition System.

.- Internet of Things (IoT).

.- Patient Biomedical Monitoring - Remote Care System.

.- An Energy-efficient Clustering Approach for Two-Layer IoT Architecture.

.- Blockchain Research in Healthcare: A Bibliometric Review.

.- Enhancing IoT Security through Hierarchical Message-Passing Graph Neural Networks: A Trust-Driven Strategy for Identifying Malicious Nodes.

Innovation and Emerging Trends in Computing and Information Technologies

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    £59.99

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback by Manisha Malhotra

    15 in stock


      View other formats and editions of Innovation and Emerging Trends in Computing and Information Technologies by Manisha Malhotra

      Publisher: Springer
      Publication Date: 13/03/2025
      ISBN13: 9783031808388, 978-3031808388
      ISBN10:

      Description

      Book Synopsis

      .- Machine Learning and Deep Learning.

      .- A Novel Smart Facial Features for Real-Time Motorists Sleepiness Prediction and Alerting System Using Hybrid Convolutional Neural Network in Computer Vision.

      .- Enhancing Power Transformer Reliability with Machine Learning-Based Fault Detection and Data Analysis.

      .- Type 2 Diabetes Prediction using Machine Learning: A Game-Changer for Healthcare.

      .- Classification and Prognosis of Brain Tumors in MRI Images Using Deep Learning.

      .- Improving Breast Cancer Prediction with Validation: Optimized feature.

      .- Diabetes Prediction Precision: Evaluating XGBoost and LightGBM Performance with IQR Preprocessing.

      .- Enhancing Cardiovascular Health Prediction: A Machine Learning Perspective.

      .- Measuring AI's Impact on HR Strategies and Operational Effectiveness in the Era of Industry 4.0.

      .- Implementation of deep learning and machine learning for designing and analyzing IDS (Intrusion detection System) through Novel framework.

      .- Performance Evaluation of Medicinal Leaf Classification Using DeepLabv3 and ML Classifiers.

      .- Android App Permission Detector based on Machine Learning Models.

      .- Histopathological Analysis Advancements in Deep Learning for the Diagnosis of Lung and Colon Cancer with Ex-planatory Power via Visual Saliency.

      .- Deep Learning Approaches for Chest X-Ray-Based Covid-19 Identification.

      .- Pattern and Speech Recognition.

      .- Bi-LSTM based Speech Emotion Recognition.

      .- Real Time Voice Language Interaction.

      .- Exploring In-Context Learning: A Deep Dive into Model Size, Templates, and Few-Shot Learning for Text Classification.

      .- Unlocking Complexity: Traversing Varied Hurdles in Punjabi Newspaper Recognition System.

      .- Internet of Things (IoT).

      .- Patient Biomedical Monitoring - Remote Care System.

      .- An Energy-efficient Clustering Approach for Two-Layer IoT Architecture.

      .- Blockchain Research in Healthcare: A Bibliometric Review.

      .- Enhancing IoT Security through Hierarchical Message-Passing Graph Neural Networks: A Trust-Driven Strategy for Identifying Malicious Nodes.

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