Mostrando ítems 9-28 de 47

    • 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 ...
    • Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network 

      Kumaar, M. Akshay; Samiayya, Duraimurugan; Rajinikanth, Venkatesan; Raj Vincent P M, Durai; Kadry, Seifedine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2023)
      Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...
    • 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), 05/2022)
      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 ...
    • Combating Misinformation and Polarization in the Corporate Sphere: Integrating Social, Technological and AI Strategies 

      Tejero, Alberto; Pisoni, Galena; Lashkari, Ziba Habibi; Rios-Aguilar, Sergio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2024)
      In an era where misinformation and polarization present significant challenges, this research examines the root causes within social networks and assesses how corporations can use AI technologies for prompt detection. This ...
    • Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Dueñas-Lerín, Jorge; Ortega, Fernando; Gutiérrez, Abraham (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      Matrix factorization models are the core of current commercial collaborative filtering Recommender Systems. This paper tested six representative matrix factorization models, using four collaborative filtering datasets. ...
    • 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), 11/2022)
      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 ...
    • 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 ...
    • 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 ...
    • Graffiti Identification System Using Low-Cost Sensors 

      García García, Miguel; González Arrieta, María Angélica; Rodríguez González, Sara; Márquez-Sánchez, Sergio; Da Silva Ramos, Carlos Fernando (International Journal of Interactive Multimedia and Artificial Intelligence, 05/2023)
      This article introduces the possibility of studying graffiti using a colorimeter developed with Arduino hardware technology according to the Do It Yourself (DIY) philosophy. Through the obtained Red Green Blue (RGB) data ...
    • GRASE: Granulometry Analysis with Semi Eager Classifier to Detect Malware 

      Deore, Mahendra; Tarambale, Manoj; Raja Kumar, Jambi Ratna; Sakhare, Sachin (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Technological advancement in communication leading to 5G, motivates everyone to get connected to the internet including ‘Devices’, a technology named Web of Things (WoT). The community benefits from this large-scale network ...
    • 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 ...
    • KoopaML: A Graphical Platform for Building Machine Learning Pipelines Adapted to Health Professionals 

      García-Peñalvo, Francisco; Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; Sampedro-Gómez, Jesús; Sánchez-Puente, Antonio; Vicente-Palacios, Víctor; Dorado-Díaz, P. Ignacio; Sánchez, Pedro L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 01/2023)
      Machine Learning (ML) has extended its use in several domains to support complex analyses of data. The medical field, in which significant quantities of data are continuously generated, is one of the domains that can benefit ...
    • 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. ...
    • Lightweight Real-Time Recurrent Models for Speech Enhancement and Automatic Speech Recognition 

      Dhahbi, Sami; Saleem, Nasir; Gunawan, Teddy Surya; Bourouis, Sami; Ali, Imad; Trigui, Aymen; Algarni, Abeer D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 04/2024)
      Traditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being ...
    • 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), 05/2022)
      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 ...
    • 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 ...