Listar 2024 fecha de publicación 

Listar 2024 por fecha de publicación

Mostrando ítems 1-20 de 40

    • Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement 

      Fazal-E -Wahab; Ye, Zhongfu; Saleem, Nasir; Ali, Hamza (International Journal of Interactive Multimedia and Artificial Intelligence, 2024)
      Deep learning (DL) networks have grown into powerful alternatives for speech enhancement and have achieved excellent results by improving speech quality, intelligibility, and background noise suppression. Due to high ...

    • A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification 

      Khrissi, Lahbib; El Akkad, Nabil; Satori, Hassan; Satori, Khalid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2024)
      Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...

    • An Improved Deep Learning Model for Electricity Price Forecasting 

      Iqbal, Rashed; Mokhlis, Hazlie; Mohd Khairuddin, Anis Salwa; Azam Muhammad, Munir (International Journal of Interactive Multimedia and Artificial Intelligence, 2024)
      Accurate electricity price forecasting (EPF) is important for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Besides that, EPF becomes critically ...

    • A Benchmark for the UEQ+ Framework: Construction of a Simple Tool to Quickly Interpret UEQ+ KPIs 

      Meiners, Anna-Lena; Schrepp, Martin; Hinderks, Andreas; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence, 2024)
      Questionnaires are a highly efficient method to compare the user experience (UX) of different interactive products or versions of a single product. Concretely, they allow us to evaluate the UX easily and to compare different ...

    • Analysis of Gender Differences in Facial Expression Recognition Based on Deep Learning Using Explainable Artificial Intelligence 

      Manresa-Yee, Cristina; Ramis, Silvia; Buades, José M. (International Journal of Interactive Multimedia and Artificial Intelligence, 2024)
      Potential uses of automated Facial Expression Recognition (FER) cover a wide range of applications such as customer behavior analysis, healthcare applications or providing personalized services. Data for machine learning ...

    • Ethical Implications and Principles of Using Artificial Intelligence Models in the Classroom: A Systematic Literature Review 

      Tang, Lin; Su, Yu-Sheng (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The increasing use of artificial intelligence (AI) models in the classroom not only brings a large number of benefits, but also has a variety of ethical implications. To provide effective education, it is now necessary to ...

    • Evaluating ChatGPT-Generated Linear Algebra Formative Assessments 

      Rigaud Téllez, Nelly; Rayón Villela, Patricia; Blanco Bautista, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      This research explored Large Language Models potential uses on formative assessment for mathematical problem-solving process. The study provides a conceptual analysis of feedback and how the use of these models is related ...

    • A Trustworthy Automated Short-Answer Scoring System Using a New Dataset and Hybrid Transfer Learning Method 

      Maslim, Martinus; Wang, Hei-Chia; Putra, Cendra Devayana; Prabowo, Yulius Denny (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      To measure the quality of student learning, teachers must conduct evaluations. One of the most efficient modes of evaluation is the short answer question. However, there can be inconsistencies in teacher-performed manual ...

    • Generative Artificial Intelligence in Product Design Education: Navigating Concerns of Originality and Ethics 

      Bartlett, Kristin A.; Camba, Jorge D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      Image-generative artificial intelligence (AI) is increasingly being used in the product design process. In this paper, we present examples of how it is being used and discuss the possibilities of how applications may evolve ...

    • Virtual Reality and Language Models, a New Frontier in Learning 

      Izquierdo-Domenech, Juan; Linares-Pellicer, Jordi; Ferri-Molla, Isabel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The proposed research introduces an innovative Virtual Reality (VR) and Large Language Model (LLM) architecture to enhance the learning process across diverse educational contexts, ranging from school to industrial settings. ...

    • Can Generative AI Solve Geometry Problems? Strengths and Weaknesses of LLMs for Geometric Reasoning in Spanish 

      Parra, Verónica; Sureda, Patricia; Corica, Ana; Schiaffino, Silvia; Godoy, Daniela (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      Generative Artificial Intelligence (AI) has emerged as a disruptive technology that is challenging traditional teaching and learning practices. Question-answering in natural language fosters the use of chatbots, such as ...

    • A Cybernetic Perspective on Generative AI in Education: From Transmission to Coordination 

      Griffiths, Dai; Frías-Martínez, Enrique; Tlili, Ahmed; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The recent sudden increase in the capabilities of Large Language Models (LLMs), and generative AI in general, has astonished education professionals and learners. In formulating a response to these developments, educational ...

    • Generative Artificial Intelligence in Education: From Deceptive to Disruptive 

      Alier, Marc; García-Peñalvo, Francisco; Camba, Jorge D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      Generative Artificial Intelligence (GenAI) has emerged as a promising technology that can create original content, such as text, images, and sound. The use of GenAI in educational settings is becoming increasingly popular ...

    • What Drives IoT-Based Smart Pet Appliances Usage Intention? The Perspective of the Unified Theory of Acceptance and Use of Technology Model 

      Chen, Chia-Chen; Lin, Chia-Pei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      The advancement of IOT (Internet of Things) has facilitated the development of smart pet appliances, and the market for these products has growing rapidly, this study seeks to identify key factors for pet owner adoption ...

    • Evaluating the Impact of Pumping on Groundwater Level Prediction in the Chuoshui River Alluvial Fan Using Artificial Intelligence Techniques 

      Su, Yu-Sheng; Hu, Yu-Cheng; Wu, Yun-Chin; Lo, Ching-Teng (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 04/2024)
      Over the past decade, excessive groundwater extraction has been the leading cause of land subsidence in Taiwan's Chuoshui River Alluvial Fan (CRAF) area. To effectively manage and monitor groundwater resources, assessing ...

    • OBOE: an Explainable Text Classification Framework 

      del Águila Escobar, Raúl A.; Suárez-Figueroa, Mari Carmen; Fernández-López, Mariano (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Explainable Artificial Intelligence (XAI) has recently gained visibility as one of the main topics of Artificial Intelligence research due to, among others, the need to provide a meaningful justification of the reasons ...

    • Chatbot-Based Learning Platform for SQL Training 

      Balderas, Antonio; Baena-Pérez, Rubén; Person, Tatiana; Mota, José Miguel; Ruiz-Rube, Iván (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Learning the SQL language for working with relational databases is a fundamental subject for future computer engineers. However, in distance learning contexts or unexpected situations like the COVID-19 pandemic, where ...

    • Modulating the Gameplay Challenge Through Simple Visual Computing Elements: A Cube Puzzle Case Study 

      Ribelles, Jose; Lopez, Angeles; Traver, V. Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Positive player’s experiences greatly rely on a balanced gameplay where the game difficulty is related to player’s skill. Towards this goal, the gameplay can be modulated to make it easier or harder. In this work, a ...

    • Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults 

      Cervantes, Alejandro; Quintana, David; Saez, Yago; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      The connection between digital literacy and the three core dimensions of psychological well-being is not yet well understood, and the evidence is controversial. We analyzed a sample of 2,314 individuals, aged 50 years and ...

    • Drug Target Interaction Prediction Using Machine Learning Techniques – A Review 

      Suruliandi, A.; Idhaya, T.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Drug discovery is a key process, given the rising and ubiquitous demand for medication to stay in good shape right through the course of one’s life. Drugs are small molecules that inhibit or activate the function of a ...