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Pattern Recognition and Artificial Intelligence : Selected papers from the 6th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI24) / edited by Fausto Pedro García Márquez, Alaa Ali Hameed, Akhtar Jamil.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
García Márquez, Fausto Pedro.
Contributor:
Hameed, Alaa Ali.
Ak̲h̲tar, Jamīl.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1393
Language:
English
Subjects (All):
Computational intelligence.
Computational Intelligence.
Local Subjects:
Computational Intelligence.
Physical Description:
1 online resource (1776 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book presents a diverse collection of cutting-edge research from the 6th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI24). Covering a wide range of topics, it explores the latest advancements in AI-driven applications, including machine learning for healthcare, cybersecurity, historical document analysis, and digital media. Readers will find studies on AI in social sciences, literature, and governance, alongside technical innovations in image processing, speech analysis, and deep learning. With interdisciplinary contributions spanning engineering, humanities, and political sciences, this volume provides valuable insights into the evolving role of artificial intelligence across multiple domains.
Contents:
1. Comparative Analysis of Machine Learning Algorithms for Phishing Detection
2.The Credibility of Unofficial Pages on Social Media and Their Role in Shaping Public Opinion
3. Enhancing Malware Detection for UAV Ground Control Stations: A Comparative Study
4. Playful Intelligence and Its Relationship to Certain Variables Among Gifted Students.-5. Multi-Sensor Data Fusion for Day and Night Terrain Type Classification
6. Feudalism and Chivalry in the Novel 'Don Quixote': An Analysis Using Artificial Intelligence Techniques
7. Colorectal Cancer Identification Model using Efficient Net Technique.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-90893-7
9783031908934
OCLC:
1546970031

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