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García Márquez / Hameed / Jamil

Pattern Recognition and Artificial Intelligence

Selected papers from the 6th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI24)

Medium: Buch
ISBN: 978-3-031-90892-7
Verlag: Springer
Erscheinungstermin: 19.10.2025
Lieferfrist: bis zu 10 Tage

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explores the latest advancements in AI-driven applications, including machine learning for healthcare, cybersecurity, historical document analysis, and digital media.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.


Produkteigenschaften


  • Artikelnummer: 9783031908927
  • Medium: Buch
  • ISBN: 978-3-031-90892-7
  • Verlag: Springer
  • Erscheinungstermin: 19.10.2025
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2025
  • Serie: Lecture Notes in Networks and Systems
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 2577 g
  • Seiten: 1290
  • Format (B x H x T): 160 x 241 x 79 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.