Mostrando ítems 1-20 de 32

    • 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, 05/2023)
      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 ...
    • 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), 01/2023)
      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 ...
    • A Review of Bias and Fairness in Artificial Intelligence 

      González-Sendino, Rubén; Serrano, Emilio; Bajo, Javier; Novais, Paulo (International Journal of Interactive Multimedia and Artificial Intelligence, 11/2023)
      Automating decision systems has led to hidden biases in the use of artificial intelligence (AI). Consequently, explaining these decisions and identifying responsibilities has become a challenge. As a result, a new field ...
    • Aligning Figurative Paintings With Their Sources for Semantic Interpretation 

      Aslan, Sinem; Steels, Luc (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      This paper reports steps in probing the artistic methods of figurative painters through computational algorithms. We explore a comparative method that investigates the relation between the source of a painting, typically ...
    • An Adaptive Salp-Stochastic-Gradient-Descent- Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall 

      Manoj, S. O.; Kumar, Abhishek; Dubey, A. K.; Ananth, J. P. (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Rainfall prediction is considered to be an esteemed research area that impacts the day-to-day life of Indians. The predominant income source of most of the Indian population is agriculture. It helps the farmers to make the ...
    • An Effective Prediction Approach for the Management of Children Victims of Road Accidents 

      Saadi, F.; Baghdad, Atmani; Henni, F.; Benfriha, H.; Addou, Z.; Guerbouz, R. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2024)
      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 ...
    • 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, 06/2023)
      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 ...
    • 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, 04/2023)
      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 ...
    • Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2 SE) 

      Sasikaladevi, N.; Pradeepa, S.; Revathi, A.; Vimal, S.; Dhiman, Gaurav (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 05/2024)
      About 422 million people worldwide have diabetes, the majority living in low-and middle-income countries, and 1.5 million deaths are directly attributed to diabetes each year. According to the Botanical Survey of India, ...
    • Automatic Surveillance of People and Objects on Railway Tracks 

      Martínez Núñez, Domingo; López Hernández, Fernando Carlos; Rainer Granados, J. Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 08/2024)
      This paper describes the development and evaluation of a surveillance system for the detection of people and objects on railroad tracks in real time. Firstly, the paper evaluates several background subtraction techniques ...
    • 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, 05/2023)
      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 ...
    • 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 ...
    • 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 ...