Mostrando ítems 1-15 de 15

    • A Smart Collaborative Educational Game with Learning Analytics to Support English Vocabulary Teaching 

      Tlili, Ahmed; Hattab, Sarra; Essalmi, Fathi; Chen, Nian-Shing; Huang, Ronghuai; Kinshuk; Chang, Maiga; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Learning Analytics (LA) approaches have proved to be able to enhance learning process and learning performance. However, little is known about applying these approaches for second language acquisition using educational ...
    • A Systematic Literature Review of Empirical Studies on Learning Analytics in Educational Games 

      Tlili, Ahmed; Chang, Maiga; Moon, Jewoong; Liu, Zhichun; Burgos, Daniel; Chen, Nian-Shing; Kinshuk (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Learning analytics (LA) in educational games is considered an emerging practice due to its potential of enhancing the learning process. Growing research on formative assessment has shed light on the ways in which students' ...
    • Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation 

      Huang, Wenlin; Wu, Qun; Dey, Nilanjan; Ashour, Amira; Fong, Simon James; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      More and more products are no longer limited to the satisfaction of the basic needs, but reflect the emotional interaction between people and environment. The characteristics of user emotions and their evaluation scales ...
    • Blockchain Based Cloud Management Architecture for Maximum Availability 

      Arias Maestro, Alberto; Sanjuán Martínez, Óscar; Teredesai, Ankur M.; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Contemporary cloud application and Edge computing orchestration systems rely on controller/worker design patterns to allocate, distribute, and manage resources. Standard solutions like Apache Mesos, Docker Swarm, and ...
    • CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making 

      Fernández-García, Antonio Jesús; Preciado, Juan Carlos; Prieto, Álvaro E.; Sánchez-Figueroa, Fernando; Gutiérrez, Juan D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...
    • Editor's Note 

      González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI – provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances ...
    • Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach 

      Proaño-Guevara, Daniel; Blanco Valencia, Xiomara Patricia; Rosero-Montalvo, Paul D.; Peluffo-Ordóñez, Diego H. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as ...
    • ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement 

      Khattak, Muhammad Irfan; Saleem, Nasir; Nawaz, Aamir; Ahmed Almani, Aftab; Umer, Farhana; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...
    • Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case 

      Zhou, Jiaming; Li, Tengyue; Fong, Simon James; Dey, Nilanjan; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Artificial intelligence (AI) has shown its effectiveness in helping clinical users meet evolving challenges. Recently, ChatGPT, a newly launched AI chatbot with exceptional text comprehension capabilities, has triggered a ...
    • Mapping the Situation of Educational Technologies in the Spanish University System Using Social Network Analysis and Visualization 

      Vargas Quesada, B.; Zarco, Carmen; Cordón, Oscar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Educational Technologies (EdTech) are based on the use of Information and Communication Technologies (ICT) to improve the quality of teaching and learning. EdTech is experiencing great development at different educational ...
    • Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study 

      Fraile-Narvaez, Marcelo; Sagredo-Olivenza, Ismael; McGowan, Nadia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      Image authorship attribution presents many challenges and difficulties which have increased with the capabilities presented by synthetic image generation through different artificial intelligence algorithms available today. ...
    • ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features 

      Rajinikanth, Venkatesan; Kadry, Seifedine; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...
    • Rhetorical Pattern Finding 

      Gómez, Francisco; Tizón Díaz, Manuel; Arronte Alvarez, Aitor; Padilla, Victor (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      In this paper, we research rhetorical patterns from a musicological and computational standpoint. First, a theoretical examination of what constitutes a rhetorical pattern is conducted. Out of that examination, which ...
    • Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data 

      Alonso-Misol Gerlache, Héctor; Moreno-Ger, Pablo; de-la-Fuente-Valentín, Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ...
    • Using the Statistical Machine Learning Models ARIMA and SARIMA to Measure the Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain 

      Andueza, Andoni; Del Arco-Osuna, Miguel Ángel; Fornés, Bernat; González-Crespo, Rubén; Martín-Álvarez, Juan-Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      From a public health perspective, tobacco use is addictive by nature and triggers several cancers, cardiovascular and respiratory diseases, reproductive disorders, and many other adverse health effects leading to many ...