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Selected Papers from the International Conference on Artificial Intelligence : FICAILY2025 – Current Research, Industry Trends, and Innovations / edited by Ali Othman Albaji.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Albaji, Ali Othman.
- Series:
- Studies in Computational Intelligence, 1860-9503 ; 1229
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Engineering mathematics.
- Engineering--Data processing.
- Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Mathematical and Computational Engineering Applications.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Mathematical and Computational Engineering Applications.
- Physical Description:
- 1 online resource (1424 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- The First International Conference on Generative AI: Current Research, Industry Trends, and Innovations (FICAI2025) proceedings will provide a comprehensive collection of the latest research and developments in the field of artificial intelligence, with a particular focus on AI & Generative AI. The proceedings will encompass a wide range of topics, including machine learning, ethical AI, and practical applications in sectors such as healthcare, engineering, and cybersecurity.This collection aims to document the significant contributions of academic and industry researchers who are driving the advancement of AI technologies. Each paper presents new methodologies, theoretical frameworks, or practical implementations of AI systems designed to solve real-world problems.With a global lineup of authors and contributors, the FICAI2025 proceedings will also highlight case studies and the latest trends from across industries, offering valuable insights for both AI researchers and professionals in the field.
- Contents:
- Innovative Edge Detection and Fine-Tuning for Enhanced Melanoma Clas sification Using Deep Learning
- mart Attendance Tracking with Facial Recognition
- A Novel Classification of Brain Tumors and Lesions Using VGGNet CNNs.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-00232-X
- 9783032002327
- OCLC:
- 1569191690
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