Inteligencia Artificial http://journal.iberamia.org/index.php/intartif <p style="text-align: justify;"><span style="color: #000000;"><strong><em><a style="color: #003366; text-decoration: underline;" href="http://journal.iberamia.org/" target="_blank" rel="noopener">Inteligencia Artificial</a></em></strong><span id="result_box" class="" lang="en"> is an international open access journal promoted by <span class="">the Iberoamerican Society of</span> Artificial Intelligence (<a href="http://www.iberamia.org">IBERAMIA</a>). </span></span>Since 1997, the journal publishes high-quality original papers reporting theoretical or applied advances in all areas of Artificial Intelligence. <span style="color: rgba(0, 0, 0, 0.87); font-family: 'Noto Sans', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: justify; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">There are no fees for subscription, publication nor editing tasks<span class="VIiyi" lang="en"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="en" data-language-to-translate-into="es" data-phrase-index="0">.</span></span> <span class="VIiyi" lang="en"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="en" data-language-to-translate-into="es" data-phrase-index="0">Articles can be written in English, Spanish or Portuguese and <a href="https://journal.iberamia.org/index.php/intartif/about/submissions">will be subjected</a> to a double-blind peer review process.</span></span> <span class="VIiyi" lang="en"><span class="JLqJ4b ChMk0b" data-language-for-alternatives="en" data-language-to-translate-into="es" data-phrase-index="0">The journal is abstracted and indexed in several <a href="http://journal.iberamia.org/index.php/intartif/metrics">data bases</a>. </span></span><br /></span></p> Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA) en-US Inteligencia Artificial 1137-3601 <p>Open Access publishing.<br />Lic. under <a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons CC-BY-NC</a><br />Inteligencia Artificial (Ed. IBERAMIA)<br />ISSN: 1988-3064 (on line).<br />(C) IBERAMIA &amp; The Authors</p> Learning Terrain Traversability for a Mobile Robot based on Information Fusion http://journal.iberamia.org/index.php/intartif/article/view/1553 <p>In this work, we propose an approach to determine terrain traversability for a car-like robot. Our approach has two main modules: a neural network classifier that makes use of sensors' readings to assign traversability levels to control inputs of the robot, and a second neural network that, based on the outputs of the first network, mimics the control selection performed by a human driver. The approach incorporates sensor fusion from a variety of sources to enhance the traversability estimation, and it is trained employing a semi-supervised learning scheme with examples resulting from the interaction of the car with the environment. This semi-supervised scheme avoids exhausting manual labeling and is built on the premise that there is a correlation between the terrain traversability and the required and observed behaviors of the vehicle. The method is validated with data obtained from a physical electric car.</p> José Eleazar Peralta-Lopez Emmanuel Antonio Israel Becerra Alejandro-Israel Barranco-Gutierrez Rafael Murrieta Copyright (c) 2024 Iberamia & The Authors http://creativecommons.org/licenses/by-nc/4.0 2024-10-19 2024-10-19 28 75 1 14 10.4114/intartif.vol28iss75pp1-14 Real time distracted driver detection using Xception architecture and Raspberry Pi http://journal.iberamia.org/index.php/intartif/article/view/1454 <p><em>Researchers are concentrating on developing technologies to identify and caution drivers against driving while distracted because it is a major cause of traffic accidents. According to the National Highway Traffic Safety Administrator's report, distracted driving is to blame for roughly one in every five car accidents.Our goal is to create an accurate and dependable method for identifying distracted drivers and alerting them to their lack of focus. We take inspiration from the success of convolutional neural networks in computer vision to do this. Our strategy entails putting in place a CNN-based system that can recognize when a driver is distracted as well as pinpoint the precise cause of their preoccupation.</em> <em>Real-time detection, however, necessitates three apparently mutually exclusive requirements for an optimal network: a small number of parameters, high accuracy, and fast speed.</em></p> Uma Narayanan Pavan Prajith Rijo Thomas Mathew Royal Alexandar Vishnu Vikraman Copyright (c) 2024 Iberamia & The Authors http://creativecommons.org/licenses/by-nc/4.0 2024-10-19 2024-10-19 28 75 15 29 10.4114/intartif.vol28iss75pp15-29 ALHK: Integrating 3D Holograms and Gesture Interaction for Elementary Education http://journal.iberamia.org/index.php/intartif/article/view/1522 <p>The integration of technology in elementary education offers innovative ways to enhance learning. One such advancement is the use of three-dimensional holograms (3DH), which provide immersive displays that merge seamlessly with the learner’s environment, creating a dynamic and engaging atmosphere. Educators have found that 3D visual tools significantly improve student comprehension, with 94.4% agreeing in a preliminary study. However, using interactive 3D holography alone has limitations, such as the inability for students to physically touch or manipulate holographic objects. To address this, Active Learning with Holo-Kid (ALHK) is introduced as a desktop application for elementary school students (grades 1 to 6). ALHK combines Leap Motion technology’s precision with interactive 3D holography to overcome these limitations. The combination allows students to interact with virtual objects in a more immersive and realistic manner. Holograms provide visual representation, while Leap Motion enables precise gesture recognition and hand tracking, resulting in a seamless and intuitive user experience. Initial evaluations demonstrate improved student engagement and comprehension. Future iterations aim to enhance scalability by incorporating features like custom object upload, multi-user interaction, and broader age applicability. ALHK shows promise as a tool for creating an immersive and intuitive learning environment using 3D holograms and interactive technology in elementary education. </p> Abeer Hakeem Hind Bitar Ayman Alfahid Copyright (c) 2024 Iberamia & The Authors http://creativecommons.org/licenses/by-nc/4.0 2024-10-19 2024-10-19 28 75 30 45 10.4114/intartif.vol28iss75pp30-45 Semantic Alignment in Disciplinary Tutoring System: Leveraging Sentence Transformer Technology http://journal.iberamia.org/index.php/intartif/article/view/1631 <p>In this work, we present a disciplinary e-tutoring system that integrates ONTO-TDM, an ontology designed for teaching domain modeling, with advanced transformer technology. Our primary objective is to enhance semantic similarity tasks within the system by fine-tuning a Sentence Transformer model. By carefully adjusting training parameters with a curated dataset of question-answer pairs focused on algorithms and data structures, we achieved a notable improvement in system performance. The Sentence Transformer model, combined with domain ontology, achieved an accuracy of 91%, a precision of 93%, a recall of 89%, and an F1-score of 90%, significantly surpassing the results of existing works. This methodology highlights the potential to deliver personalized support and guidance in tutoring scenarios. It effectively addresses the evolving needs of modern education by offering tailored answers and reducing the necessity for constant learner-tutor interaction, thereby improving the efficiency of educational support systems.</p> Rosana Abdoune Lydia Lazib Farida Dahmani-Bouarab Nada Mimouni Copyright (c) 2024 Iberamia & The Authors http://creativecommons.org/licenses/by-nc/4.0 2024-10-19 2024-10-19 28 75 46 62 10.4114/intartif.vol28iss75pp46-62