Innovation and Emerging Trends in Computing and Information Technologies: First International Conference, IETCIT 2024, Mohali, Punjab, India, March 1–2, 2024, Proceedings, Part I

Author:   Manisha Malhotra
Publisher:   Springer International Publishing AG
Volume:   2125
ISBN:  

9783031808388


Pages:   288
Publication Date:   28 January 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Innovation and Emerging Trends in Computing and Information Technologies: First International Conference, IETCIT 2024, Mohali, Punjab, India, March 1–2, 2024, Proceedings, Part I


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Author:   Manisha Malhotra
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   2125
ISBN:  

9783031808388


ISBN 10:   303180838
Pages:   288
Publication Date:   28 January 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- 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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