Listar vol. 9, nº 3, june 2025 por fecha de publicación
Mostrando ítems 1-17 de 17
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Learning Analytics Icons: Easy Comprehension of Data Treatment
(UNIR, 01/06/2025)The Learning Analytics approach adopted in education implies the gathering and processing of sensitive information and the generation of student profiles, which may have direct or indirect dire consequences for the students. ... -
Reversible Image Watermarking Using Modified Quadratic Difference Expansion and Hybrid Optimization Technique
(UNIR, 01/06/2025)With increasing copyright violation cases, watermarking of digital images is a very popular solution for securing online media content. Since some sensitive applications require image recovery after watermark extraction, ... -
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 ... -
Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts
(UNIR, 01/06/2025)Students’ interactions with exercises can reveal interesting features that can be used to redesign or effectively use the exercises during the learning process. The precise modeling of exercises includes how grades can ... -
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 ... -
Evaluating Customer Segmentation Techniques in the Retail Sector
(UNIR, 01/06/2025)In the current competitive corporate landscape, understanding client preferences and adapting marketing strategies accordingly has become crucial. This study evaluates the effectiveness of four machine learning algorithms ... -
A Multi-Session Evaluation of a Haptic Device in Normal and Critical Conditions: a Mars Analog Mission
(UNIR, 01/06/2025)While visual interaction is typically evaluated as an instantaneous, one-shot activity that considers only a snapshot of factors, haptic interaction is more challenging to evaluate as it involves a continuous touch process ... -
Reliability of IBM’s Public Quantum Computers
(UNIR, 01/06/2025)One of the challenges of the current ecosystem of quantum computers (QC) is the stabilization of the coherence associated with the entanglement of the states of their inner qubits. In this empirical study, we monitor the ...
