IntechOpen Book Series > Artificial Intelligence

IntechOpen Book Series

Artificial Intelligence

BOOK SERIES DOI 10.5772/intechopen.79920ISSN 2633-1403

Latest publication 19 January 2025

A collection of scientific Topics in Artificial Intelligence - always open for submission with an Annual Volume published each calendar year with a dedicated ISSN and ISBN.

Led by Series Editor Dr. Andries Engelbrecht and an international Editorial Board, all submissions are peer-reviewed and published immediately after acceptance.

The Book Series also publishes a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.

always open for submissions

Open Access Peer-reviewed Research

Machine Learning in Procurement with a View to Equity

Rosa Meo, Ishrat Fatima and Roberto Nai

DOI: 10.5772/intechopen.1008730

Part Of Topic: Applied Intelligence

Part of the book: AI - Ethical and Legal Challenges [Working Title]

Open Access Peer-reviewed Research

Machine Learning for Sustainable Shipping: Predicting Vessel CO₂ Emissions Using Random Forest Model...

Carol Anne Hargreaves and Wan Nee Briana Toh

DOI: 10.5772/intechopen.1008820

Part Of Topic: Machine Learning and Data Mining

Part of the book: Federated Learning - A Systematic Review [Working Title]

Open Access Peer-reviewed Research

Development of the Skill to Design User Experience: A Case Study from the Informatics Engineering Co...

Josue Segura Montero and Josue Segura

DOI: 10.5772/intechopen.1006928

Part Of Topic: Applied Intelligence

Part of the book: User Experience - A Multidimensional Analysis of Human-Artefact Interactions [Working Title]

Open Access Peer-reviewed Research

Anomaly Detection in Metal-Textile Industries

Alexander Ferrein, Stefan Schiffer and Ingo Elsen

DOI: 10.5772/intechopen.1008411

Part Of Topic: Applied Intelligence

Part of the book: Anomaly Detection - Methods, Complexities and Applications [Working Title]

Open Access Peer-reviewed Research

Opportunistic Networking and the Future of Context-Aware Recommendations

Lucas Nunes Barbosa

DOI: 10.5772/intechopen.1007561

Part Of Topic: Machine Learning and Data Mining

Part of the book: Federated Learning - A Systematic Review [Working Title]

Open Access Peer-reviewed Research

Competencies Replaceable by Artificial Intelligence in the Tuning Project for Latin America

Adriana Romero-Sandoval

DOI: 10.5772/intechopen.1008225

Part Of Topic: Applied Intelligence

Part of the book: AI - Ethical and Legal Challenges [Working Title]

Open Access Peer-reviewed Research

Advancements in Machine Learning and Deep Learning for Breast Cancer Detection: A Systematic Review

Mahendran Botlagunta, Zeba Khan, Madhavi Devi botlagunta, Gorli L Aruna Kumari and Pranjali Malviya

DOI: 10.5772/intechopen.1008207

Part Of Topic: Machine Learning and Data Mining

Part of the book: Federated Learning - A Systematic Review [Working Title]

Open Access Peer-reviewed Research

Federated Learning with Partially Class-Disjoint Data

Jiangchao Yao and Ziqing Fan

DOI: 10.5772/intechopen.1008364

Part Of Topic: Machine Learning and Data Mining

Part of the book: Federated Learning - A Systematic Review [Working Title]

Open Access Peer-reviewed Research

Supervised Anomaly Detection with Attention

T. Hui TEO, Chiang Liang Kok, Chee Kit Ho, Xinlong Zhang, Jovan Bowen Heng and Guangming Ren

DOI: 10.5772/intechopen.1008251

Part Of Topic: Applied Intelligence

Part of the book: Anomaly Detection - Methods, Complexities and Applications [Working Title]

Open Access Peer-reviewed Research

Predicting Exoplanets Habitability: Metrics and Models

Yash Patel

DOI: 10.5772/intechopen.1007686

Part Of Topic: Applied Intelligence

Part of the book: Anomaly Detection - Methods, Complexities and Applications [Working Title]

IntechOpen Book Series

Artificial Intelligence

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