Produktbild: Proceedings of the 3rd International Conference on Emerging Trends and Innovation (3rd ICETI)
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Proceedings of the 3rd International Conference on Emerging Trends and Innovation (3rd ICETI) DE

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.07.2026

Abbildungen

IX, 270 illus., 251 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Inam Ullah Khan + weitere

Verlag

Springer

Seitenzahl

862

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-3-032-22425-5

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.07.2026

Abbildungen

IX, 270 illus., 251 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

862

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-3-032-22425-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Proceedings of the 3rd International Conference on Emerging Trends and Innovation (3rd ICETI)
  • Enhancing Cybersecurity with AI-Based Threat Classification.- An Adaptive Model for Unmasking Zero-Day Threats using Federated Learning.- Deep Architectural Classification for Heart Disease Prediction.- Multi-Dataset Comparative Analysis of Genetic Algorithms for Intrusion Detection in UAV Networks.- Enhancing Breast Cancer Classification: A Comparative Analysis of Five Hybrid Deep Learning and Machine Learning Architectures on Tabular Data.- A Lightweight Continuous Authentication Protocol for Smart Home Environment Under A Zero Trust Architecture.- Unveiling Covert AI: Reverse Engineering Android Apps to Expose Behavioral Tracking.- The Clipboard Conspiracy: How Android Apps Can Steal Your Data Unseen.- Prediction of Vulnerabilities in Banking sector using Machine Learning.- The Reverse Engineer’s Toolkit: A Comprehensive Overview of Essential Tools and Techniques.- Lightweight Intrusion Detection System for UAV-Based Search and Rescue Operations Using Machine and Deep Learning Models.- Disaster-Aware IoT Connectivity using FANET Routing Protocol.- Differential Privacy-Enabled Horizontal Federated Learning for Anti-Money Laundering Detection in Financial Transactions.- A Hybrid Stacked Ensemble of Deep Learning and Machine Learning Models for High-Accuracy Diabetes Prediction.- YOLO-Based Object Detection and Recognition Using Webots Simulation.- Harris' Hawks Optimization for Enhanced Clustering in Medical Diagnosis.- Performance Benchmarking of ROBOTa Optimized Machine and Deep Learning Models for UAV IDS.- A Comparative Study on Optimized Models for Intrusion Detection using CICIDS2017.- Anomaly based Intrusion Detection System for UAVs Network.- Lightweight Intrusion Detection System for UAV-Based Search and Rescue Operations Using Machine and Deep Learning Models.- Disaster-Aware IoT Connectivity using FANET Routing Protocol.- Differential Privacy-Enabled Horizontal Federated Learning for Anti-Money Laundering Detection in Financial Transactions.- A Hybrid Stacked Ensemble of Deep Learning and Machine Learning Models for High-Accuracy Diabetes Prediction.- YOLO-Based Object Detection and Recognition Using Webots Simulation.- Harris' Hawks Optimization for Enhanced Clustering in Medical Diagnosis.- Performance Benchmarking of ROBOTa Optimized Machine and Deep Learning Models for UAV IDS.- A Comparative Study on Optimized Models for Intrusion Detection using CICIDS2017.- Anomaly based Intrusion Detection System for UAVs Network.