Mostrando ítems 41-60 de 64

    • On the Importance of UX Quality Aspects for Different Product Categories 

      Schrepp, Martin; Kollmorgen, Jessica; Meiners, Anna-Lena; Hinderks, Andreas; Winter, Dominique; Santoso, Harry B.; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      User experience (UX) is a holistic concept. We conceptualize UX as a set of semantically distinct quality aspects. These quality aspects relate subjectively perceived properties of the user interaction with a product to ...
    • OntoInfoG++: A Knowledge Fusion Semantic Approach for Infographics Recommendation 

      Deepak, Gerard; Vibakar, Adithya; Santhanavijayan, A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      As humans tend to improvise and learn on a constant basis, the need for visualizing and recommending knowledge is increasing. Since the World Wide Web is exploded with a lot of multimedia content and with a growing amount ...
    • Point Cloud Deep Learning Solution for Hand Gesture Recognition 

      Osimani, César; Ojeda-Castelo, Juan Jesus; Piedra-Fernandez, Jose A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      In the last couple of years, there has been an increasing need for Human-Computer Interaction (HCI) systems that do not require touching the devices to control them, such as ATMs, self service kiosks in airports, terminals ...
    • Pollutant Time Series Analysis for Improving Air-Quality in Smart Cities 

      López-Blanco, Raúl; Chaveinte García, Miguel; Alonso, Ricardo S.; Prieto, Javier; Corchado, Juan M. (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      The evolution towards Smart Cities is the process that many urban centers are following in their quest for efficiency, resource optimization and sustainable growth. This step forward in the continuous improvement of cities ...
    • Problem Detection in the Edge of IoT Applications 

      Bernabé-Sánchez, Iván; Fernández, Alberto; Billhardt, Holger; Ossowski, Sascha (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Due to technological advances, Internet of Things (IoT) systems are becoming increasingly complex. They are characterized by being multi-device and geographically distributed, which increases the possibility of errors of ...
    • Quantitative Measures for Medical Fundus and Mammography Images Enhancement 

      Intriago-Pazmiño, Monserrate; Ibarra-Fiallo, Julio; Guzmán-Castillo, Adán; Alonso-Calvo, Raúl; Crespo, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Enhancing the visibility of medical images is part of the initial or preprocessing phase within a computer vision system. This image preparation is essential for subsequent system tasks such as segmentation or classification. ...
    • Real World Anomalous Scene Detection and Classification using Multilayer Deep Neural Networks 

      Jan, Atif; Khan, Gul Muhammad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Surveillance videos record malicious events in a locality utilizing various machine learning algorithms for detection. Deep-learning algorithms being the most prominent AI algorithms are data-hungry as well as computationally ...
    • Research on Brain and Mind Inspired Intelligence 

      Liu, Yang; Wei, Jianshe (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      To address the problems of scientific theory, common technology and engineering application of multimedia and multimodal information computing, this paper is focused on the theoretical model, algorithm framework, and system ...
    • 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 ...
    • Resource and Process Management With a Decision Model Based on Fuzzy Logic 

      Fornerón Martínez, J. T.; Agostini, F.; la Red, David L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The allocation of the resources to be shared in the context of a distributed processing system needs to be coordinated through the mutual exclusion mechanism, which will decide the order in which the shared resources will ...
    • Results of a Study to Improve the Spanish Version of the User Experience Questionnaire (UEQ) 

      Hernández-Campos, Mónica; Thomaschewski, Jörg; Law, Yuen C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      This paper analyses changes in some items of the User Experience Questionnaire (UEQ) for use in the context of Costa Rican culture. Although a Spanish version of the UEQ was created in 2012, we use a double-translation and ...
    • RGBeat: A Recoloring Algorithm for Deutan and Protan Dichromats 

      Ribeiro, Madalena; Gomes, Abel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Deutan and protan dichromats only see exactly two hues in the HSV color space, 240-blue (240o) and 60-yellow (60 o). Consequently, they see both reds and greens as yellows; therefore, they cannot distinguish reds from ...
    • 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 ...
    • RIADA: A Machine-Learning Based Infrastructure for Recognising the Emotions of Spotify Songs 

      Álvarez, P.; García de Quirós, J.; Baldassarri, S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The music emotions can help to improve the personalization of services and contents offered by music streaming providers. Many research works based on the use of machine learning techniques have addressed the problem of ...
    • S-Divergence-Based Internal Clustering Validation Index 

      Kumar Sharma, Krishna; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      A clustering validation index (CVI) is employed to evaluate an algorithm’s clustering results. Generally, CVI statistics can be split into three classes, namely internal, external, and relative cluster validations. Most ...
    • Sentiment Analysis and Classification of Hotel Opinions in Twitter With the Transformer Architecture 

      Arroni, Sergio; Galán, Yerai; Guzmán-Guzmán, Xiomarah; Nuñez-Valdez, Edward Rolando; Gómez, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Sentiment analysis is of great importance to parties who are interested is analyzing the public opinion in social networks. In recent years, deep learning, and particularly, the attention-based architecture, has taken over ...
    • Synthetic Aperture Radar Automatic Target Recognition Based on a Simple Attention Mechanism 

      Ukwuoma, Chiagoziem Chima; Zhiguang, Qin; Tienin, Bole W.; Yussif, Sophyani B.; Ejiyi, Chukwuebuka Joseph; Urama, Gilbert C.; Ukwuoma, Chibueze D.; Chikwendu, Ijeoma Amuche (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      A simple but effective channel attention module is proposed for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). The channel attention technique has shown recent success in improving Deep Convolutional ...
    • Tests of Usability Guidelines About Response to User Actions. Importance, Compliance, and Application of the Guidelines 

      Alonso-Virgós, Lucía; Pascual-Espada, Jordán; Rossi, Gustavo (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Usability is a quality that a web page can have due to its simple use. Many recommendations aim to improve the web user experience, but there is no standardization of them. This study is part of a saga, which aims to order ...
    • Tourism-Related Placeness Feature Extraction from Social Media Data Using Machine Learning Models 

      Muñoz, Pedro; Doñaque, E.; Larrañaga, A.; Martínez Torres, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      The study of placeness has been focus for researchers trying to understand the impact of locations on their surroundings and tourism, the loss of it by globalization and modernization and its effect on tourism, or the ...
    • Using Large Language Models to Shape Social Robots’ Speech 

      Sevilla-Salcedo, Javier; Fernádez-Rodicio, Enrique; Martín-Galván, Laura; Castro-González, Álvaro; Castillo, José C.; Salichs, Miguel A. (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Social robots are making their way into our lives in different scenarios in which humans and robots need to communicate. In these scenarios, verbal communication is an essential element of human-robot interaction. However, ...