AI for Forensics and Biometric Applications

First International Conference, ICAIFB 2025, Bhilai, India, December 19–20, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-28137-1
Verlag: Springer

Buch, Englisch, 75 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

This book constitutes the refereed proceedings of the First International Conference on AI for Forensics and Biometric Applications, ICAIFB 2025, held in Bhilai, India, during December 19–20, 2025.

The 5 full papers included in this book were carefully reviewed and selected from 22 submissions. They cover topics such as forensic fire detection in collaborative intelligent environments, near-term quantum machine learning for face recognition, iris presentation attack detection using fine-tuned deep models, voice-based security systems, and explainable AI-enabled decision support.

Zielgruppe

Research

Autoren/Hrsg.

Ramachandra, Raghavendra

Sao, Anil Kumar

Sharma, Arvind

Aroor Dinesh, Dileep

Prasanna, Mahadeva

Katsikas, Sokratis

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

.- A Machine Learning-Based Forensic Fire Detection Model within the Internet of Agents (IoA) Using YOLOv8 and AWS Cloud.
.- Evaluating Near-Term Quantum Machine Learning for Face Recognition.
.- Towards Robust Iris Presentation Attack Detection via Fine-Tuned DINOv2 and ResNet-50 Models.
.- Voice-Based Security System.
.- Trustworthy and Explainable AI-enabled Loan Approval System.