IntechOpen Book Series > Artificial Intelligence

IntechOpen Book Series

Artificial Intelligence

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

Latest publication May 30th, 2023

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

Deep Learning in Medical Imaging

Narjes Benameur and Ramzi Mahmoudi

DOI: 10.5772/intechopen.111686

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning and Reinforcement Learning [Working Title]

Open Access Peer-reviewed Research

Graph Neural Networks and Reinforcement Learning: A Survey

Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian and Jocelyn Chanussot

DOI: 10.5772/intechopen.111651

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning and Reinforcement Learning [Working Title]

Open Access Peer-reviewed Research

A Study of the Comparison between Artificial Neural Networks, Logistic Regression and Similarity Wei...

Zeynab Moradi and Ali Reza Mikaeili Tabrizi

DOI: 10.5772/intechopen.111615

Part Of Topic: Computational Neuroscience

Part of the book: Neuromorphic Computing [Working Title]

Open Access Peer-reviewed Research

MultiRes Attention Deep Learning Approach for Abdominal Fat Compartment Segmentation and Quantificat...

Bhanu K.N. Prakash, Arvind Channarayapatna Srinivasa, Ling Yun Yeow, Wen Xiang Chen, Audrey Jing Ping Yeo, Wee Shiong Lim and Cher Heng Tan

DOI: 10.5772/intechopen.111555

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning and Reinforcement Learning [Working Title]

Open Access Peer-reviewed Research

IoT Device Identification Using Device Fingerprint and Deep Learning

Prashant Baral, Ning Yang and Ning Weng

DOI: 10.5772/intechopen.111554

Part Of Topic: Machine Learning and Data Mining

Part of the book: Deep Learning and Reinforcement Learning [Working Title]

Open Access Peer-reviewed Research

Artificial Intelligence Approaches for Studying the pp Interactions at High Energy Using Ad...

Doaa Mahmoud Habashy, Mahmoud Yaseen El-Bakry, El-Sayed Ahmed El-Dahshan and Hanem Ibrahim Lebda

DOI: 10.5772/intechopen.111552

Part Of Topic: Computational Neuroscience

Part of the book: Neuromorphic Computing [Working Title]

Open Access Peer-reviewed Research

Developing and Deploying a Sepsis Deterioration Machine Learning Algorithm

Rohith Mohan, Alexandra King, Sarma Velamuri and Andrew Hudson

DOI: 10.5772/intechopen.111557

Part Of Topic: Applied Intelligence

Part of the book: Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats [Working Title]

Open Access Peer-reviewed Research

AI in Healthcare: Implications for Family Medicine and Primary Care

Thomas Wojda, Carlie Hoffman, Jeffrey Jackson, Traci Conti and John Maier

DOI: 10.5772/intechopen.111498

Part Of Topic: Applied Intelligence

Part of the book: Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats [Working Title]

Open Access Peer-reviewed Research

Unlocking the Potential of Artificial Intelligence (AI) for Healthcare

Parampreet Kaur, Aaron Alexander Mack, Naitik Patel, Amit Pal, Rajwinder Singh, Allincia Michaud and Molly Mulflur

DOI: 10.5772/intechopen.111489

Part Of Topic: Applied Intelligence

Part of the book: Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats [Working Title]

Open Access Peer-reviewed Research

Human-Machine Collaboration in AI-Assisted Surgery: Balancing Autonomy and Expertise

Gabriel Szydlo Shein, Ronit Brodie and Yoav Mintz

DOI: 10.5772/intechopen.111556

Part Of Topic: Applied Intelligence

Part of the book: Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats [Working Title]