Innovation and Emerging Trends in Computing and Information Technologies (eBook, PDF)

First International Conference, IETCIT 2024, Mohali, Punjab, India, March 1-2, 2024, Proceedings, Part I
Redaktion: Malhotra, Manisha

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the First International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024, held in Mohali, India, in March 1-2, 2024.

The 44 full papers presented in these two volumes were carefully reviewed and selected from 417 submissions. The papers are organized in the following topical sections:

Part I: machine learning and deep learning; pattern and speech recognition; internet of things (IoT).

Part II: data science and data analytics; communication, network and security.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 288
• Erscheinungstermin: 27. Januar 2025
• Englisch
• ISBN-13: 9783031808395
• Artikelnr.: 73162818

Inhaltsangabe

.- 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.