Innovation and Emerging Trends in Computing and Information Technologies
Springer International Publishing (Verlag)
978-3-031-80838-8 (ISBN)
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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.
.- 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.
| Erscheint lt. Verlag | 9.2.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XIV, 279 p. 147 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | convolutional neural network • Decision Tree • enegy • IOT • LightGBM • machine learning • remote montoring systems • Sockets • suport vector machine • true positive rates |
| ISBN-10 | 3-031-80838-X / 303180838X |
| ISBN-13 | 978-3-031-80838-8 / 9783031808388 |
| Zustand | Neuware |
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