Selected Papers from the International Conference on Artificial Intelligence: FICAILY2025 – Current Research, Industry Trends, and Innovations
Author:   Ali Othman Albaji
Publisher:   Springer Nature Switzerland AG
Volume:   1229
ISBN:  

9783032002310


Pages:   1061
Publication Date:   06 January 2026
Format:   Hardback
Availability:   Not yet available   Availability explained
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Selected Papers from the International Conference on Artificial Intelligence: FICAILY2025 – Current Research, Industry Trends, and Innovations


Overview

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.

Full Product Details

Author:   Ali Othman Albaji
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Volume:   1229
ISBN:  

9783032002310


ISBN 10:   3032002311
Pages:   1061
Publication Date:   06 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of 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.

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