Listar vol. 9, nº 3, june 2025 por licencia "openAccess"
Mostrando ítems 1-11 de 11
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An Effective Prediction Approach for the Management of Children Victims of Road Accidents
(UNIR, 01/06/2025)Road traffic generates a considerable number of accidents each year. The management of injuries caused by these accidents is becoming a real public health problem. Faced with this latter, we propose a new clinical decision ... -
Distinguishing Human From Machine: A Review of Advances and Challenges in AI-Generated Text Detection
(UNIR, 01/06/2025)The rise of Large Language Models (LLMs) has dramatically altered the generation and spreading of textual content. This advancement offers benefits in various domains, including medicine, education, law, coding, and ... -
Editor’s Note
(UNIR, 01/06/2025)The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) publishes articles discussing the latest current topics in the research literature. The emergence of ChatGPT and other similar models ... -
Explainable Artificial Intelligence-Based Diseases Diagnosis From Unstructured Clinical Data and Decision Making Using Blockchain Technologies
(UNIR, 01/06/2025)In the digital era, health information is stored in digital form for easy maintenance, analysis and transfer. The proficiency of manual illness diagnosis and drug prediction in the medical field depends on the expertise ... -
Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality
(UNIR, 01/06/2025)Augmented reality (AR) has become a powerful tool for assisting operators in complex environments, such as shop floors, laboratories, and industrial settings. By displaying synthetic visual elements anchored in real ... -
Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
(UNIR, 01/06/2025)Currently, wind power is the fast growing area in the domain of renewable energy generation. Accurate prediction of wind power output in wind farms is crucial for addressing the challenges associated the power grid. This ... -
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets
(UNIR, 01/06/2025)The published method Generative Adversarial Networks for Recommender Systems (GANRS) allows generating data sets for collaborative filtering recommendation systems. The GANRS source code is available along with a representative ... -
Traffic Optimization Through Waiting Prediction and Evolutive Algorithms
(https://www.ijimai.org/index.php/ijimai/article/view/244, 01/06/2025)Traffic optimization systems require optimization procedures to optimize traffic light timing settings in order to improve pedestrian and vehicle mobility. Traffic simulators allow obtaining accurate estimates of traffic ... -
Trends in Addiction to Psychoactive Substances Among Homeless People in Colombia Using Artificial Intelligence
(UNIR, 01/06/2025)Introduction: Currently, homelessness should not be seen as just another problem, but as a reality of inequality and the absence of social justice. In this sense, homeless people are subjected to social disengagement, lack ... -
Use of Data Mining for Intelligent Evaluation of Imputation Methods
(UNIR, 01/06/2025)In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. Data imputation techniques allow the estimation of MV using different algorithms, by ... -
Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation
(UNIR, 01/06/2025)Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical ...
