Exploring the frontiers of intelligence and innovation, the Journal of Artificial Intelligence and
Robotics bridges the gap between imagination and realization, propelling us into a future where
machines and algorithms redefine the boundaries of possibility

Articles

About Us

Welcome to the Journal of Artificial Intelligence and Robotics, a pioneering platform at the intersection of cutting-edge research, innovation, and technological advancements in the fields of artificial intelligence (AI) and robotics.

Mission Statement: At the core of our mission is the advancement of knowledge and understanding in AI and robotics. We strive to be a leading catalyst for the exchange of ideas, insights, and breakthroughs, fostering a global community of researchers, scholars, and practitioners dedicated to pushing the boundaries of intelligent systems and robotic technologies.

Our Commitment: We are committed to promoting excellence in research and scholarly contributions. The Journal of Artificial Intelligence and Robotics serves as a reputable and peer-reviewed outlet for original research articles, reviews, and discussions that shape the landscape of AI and robotics. Our commitment extends to providing a platform for diverse perspectives and methodologies, ensuring a comprehensive and inclusive dialogue in these rapidly evolving fields.

Peer Review

The peer-review process for the Journal of Artificial Intelligence and Robotics (JOAIR) is designed ...

Open Access

Open access (OA) encompasses a set of principles and diverse practices that facilitate the ...

Plagiarism

The Journal of Artificial Intelligence and Robotics (JOAIR) maintains a strict policy against plagiarism.

Aim and scope

The Journal of Artificial Intelligence and Robotics (JOAIR) is a peer-reviewed scholarly publication ...

Journal of Artificial Intelligence and Robotics

Latest Articles

Research Article
Identification of a new and de novo heterozygous variant in the TP63 gene associated with ADULT syndrome using state-of-the-art bioinformatics and artificial intelligence

Ana Maria Varela Baena*; Lina Johanna Moreno Giraldo*

The TP63 gene located on chromosome 3q28 [1], encodes the tumor protein p63 (TP63 MIM*603273), belonging to the p53 transcription factor family [2], which is essential in the development of ectodermal structures comprising skin, sweat glands, hair, nails and teeth.

Research Article
Artificial intelligence in predicting weaning from mechanical ventilation in patients with respiratory failure

Canabal Berlanga A*; Sánchez Giralt JA; Alvargonzález Riera C; González de Marcos MB; Suárez Sipmann F

Weaning from mechanical ventilation in patients with artificial respiration is a complex process with a high impact on the patient's prognosis. Both its delay and its anticipation, and above all the failure in the process, have significant repercussions for the patient.

Editors Board

Dimitrios Theodoropoulos

University of Crete, Medical School, Andrea Kalokerinou 13, Heraklion, Crete 715 00, Greece.

Yajie Bao, PhD

Research Scientist Intelligent Fusion Technology, Inc. Germantown, MD 20874, USA.

Dongsheng Zhao

Architecture and Engineering College, Sichuan Institute of Industrial Technology, Deyang 618500, China.

Kushairi Mohd Salleh

Bioresource Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Penang, Malaysia.

Silvia Filogna

Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.

Fengyuan Zuo

Department of Control Engineering, Northeastern University, Shenyang, China.

Jasjit S Suri

Stroke Monitoring and Diagnostic Division, AtheroPoin, Roseville, California, USA.

Sicheng Wang

Department of Electrical and Systems Engineering, Washington University, USA.

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