Mostrando ítems 13-32 de 36

    • How Does the Visualization Technique Affect the Design Process? Using Sketches, Real Products and Virtual Models to Test the User’s Emotional Response 

      Alonso-García, María; Palacios-Ibáñez, Almudena; de-Cózar-Macías, Óscar D.; Marín-Granados, Manuel D. (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Testing products during the design process can help design teams anticipate user needs and predict a positive emotional response. Emerging technologies, e.g., Virtual Reality (VR), allow designers to test products in a ...
    • Improvement of Academic Analytics Processes Through the Identification of the Main Variables Affecting Early Dropout of First-Year Students in Technical Degrees. A Case Study 

      Llauró, A.; Fonseca, David; Villegas, E.; Aláez, M.; Romero, S. (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      The field of research on the phenomenon of university dropout and the factors that promote it is of the utmost relevance, especially in the current context of the Covid-19 pandemic. Students who have started degrees in the ...
    • Improving Retrieval Performance of Case Based Reasoning Systems by Fuzzy Clustering 

      Saadi, F.; Atmani, Baghdad; Henni, F. (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)
      Case-based reasoning (CBR), which is a classical reasoning methodology, has been put to use. Its application has allowed significant progress in resolving problems related to the diagnosis, therapy, and prediction of ...
    • Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality 

      Izquierdo-Domenech, Juan; Linares-Pellicer, Jordi; Ferri-Molla, Isabel (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      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 ...
    • Learning Analytics Icons: Easy Comprehension of Data Treatment 

      Amo-Filva, David; Alier, Marc; Fonseca, David; García-Peñalvo, Francisco; Casañ, María José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 04/2024)
      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. ...
    • Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review 

      Suárez-Cetrulo, Andrés L.; Quintana, David; Cervantes, Alejandro (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Recent crises, recessions and bubbles have stressed the non-stationary nature and the presence of drastic structural changes in the financial domain. The most recent literature suggests the use of conventional machine ...
    • Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach 

      Diaz-Pacheco, Angel; Álvarez-Carmona, Miguel A.; Rodríguez-González, Ansel Y.; Carlos, Hugo; Aranda, Ramón (International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)
      Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources ...
    • Optimal Target-Oriented Knowledge Transportation For Aspect-Based Multimodal Sentiment Analysis 

      Zhang, Linhao; Jin, Li; Xu, Guangluan; Li, Xiaoyu; Sun, Xian; Zhang, Zequn; Zhang, Yanan; Li, Qui (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2024)
      Aspect-based multimodal sentiment analysis under social media scenario aims to identify the sentiment polarities of each aspect term, which are mentioned in a piece of multimodal user-generated content. Previous approaches ...
    • Performance and Communication Cost of Deep Neural Networks in Federated Learning Environments: An Empirical Study 

      Alotaibi, Basmah K.; Khan, Fakhri Alam; Qawqzeh, Yousef; Jeon, Gwanggil; Camacho, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2024)
      Federated learning, a distributive cooperative learning approach, allows clients to train the model locally using their data and share the trained model with a central server. When developing a federated learning environment, ...
    • Platform for Improving the User Experience in the Creation of Educational Multiplayer Video Games 

      Sánchez-Canella, Fernando; Pascual-Espada, Jordán; Cid-Rico, Irene (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      Students’ motivation is one of the factors that directly affect academic performance. In recent years, teachers are looking for ways to motivate students during their training period. For example, making use of slides, ...
    • Posture Estimation of Curve Running Motion Using Nano-Biosensor and Machine Learning 

      Wu, Xiaoming; Cao, Yu; Wang, Yu; Li, Bing; Yang, Haitao; Raja, S.P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 07/2024)
      Curve running is a common form of training and competition. Conducting research on posture estimation during curve running can provide more accurate training and competition data for athletes. However, due to the unique ...
    • Reliability of IBM’s Public Quantum Computers 

      Pérez-Antón, Raquel; Corbi, Alberto; López-Sánchez, José Ignacio; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      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 ...
    • Reversible Image Watermarking Using Modified Quadratic Difference Expansion and Hybrid Optimization Technique 

      Lakshmi, H. R.; Borra, Surekha (International Journal of Interactive Multimedia and Artificial Intelligence, 08/2023)
      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, ...
    • Selecting the Appropriate User Experience Questionnaire and Guidance for Interpretation: the UEQ Family 

      Kollmorgen, Jessica; Hinderks, Andreas; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2024)
      Measuring the user experience (UX) of products, systems and services is individual depending on the research question. On the one hand, the user’s goals and environment play a role in the subjective evaluation. On the other ...
    • Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction 

      Su, Zhan; Yu, Ruiyun; Zou, Shihao; Guo, Bingyang; Cheng, Li (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Human-Object Interaction (HOI) detection focuses on human-centered visual relationship detection, which is a challenging task due to the complexity and diversity of image content. Unlike most recent HOI detection works ...
    • Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data 

      Galphade, Manisha; Nikam, V. B.; Banerjee, Biplab; Kiwelekar, Arvind W.; Sharma, Priyanka (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 07/2024)
      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 

      Bobadilla, Jesús; Gutiérrez, Abraham (International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)
      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 ...
    • The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data 

      Irfan, Muhammad; Shahrestani, Seyed; ElKhodr, Mahmoud (International Journal of Interactive Multimedia and Artificial Intelligence, 07/2023)
      Detecting Alzheimer’s disease (AD) in its early stages is essential for effective management, and screening for Mild Cognitive Impairment (MCI) is common practice. Among many deep learning techniques applied to assess brain ...
    • TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining 

      Carstensen, Simen; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial ...
    • Traffic Optimization Through Waiting Prediction and Evolutive Algorithms 

      García, Francisco; Hernández, Helena; Moreno-García, María N.; de Paz Santana, Juan F.; López, Vivian F.; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      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 ...