Mostrando ítems 28-47 de 64

    • Editor's Note 

      Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      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 ...
    • Editor’s Note 

      Yang, Jiachen; Song, Houbing; Khurram Khan, Muhammad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      With the rapid development of information and communication technologies, artificial intelligence and IoTs, more and more advanced technologies, such as machine learning, reinforcement learning, neural networks and fuzzy ...
    • Editor’s Note 

      Gaona-García, Paulo Alonso (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Artificial Intelligence (AI) represents one of the fastest growing areas of knowledge, sectors and fields of action globally. This growth has allowed to mark different positions, where the most favorable ones are oriented ...
    • Editor’s Note 

      Alonso, Ricardo S.; Chamoso, Pablo; Rodríguez-González, Sara; Novais, Paulo (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Research in Agents and Multiagent Systems has matured significantly in recent years, representing one of the main branches of Artificial Intelligence and currently there are numerous effective applications of these ...
    • Emotion-Aware Monitoring of Users’ Reaction With a Multi-Perspective Analysis of Long- and Short-Term Topics on Twitter 

      Cavaliere, Danilo; Fenza, Giuseppe; Loia, Vincenzo; Nota, Francesco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Social networks, such as Twitter, play like a disinformation spread booster giving the chance to individuals and organizations to influence users’ beliefs on purpose through tweets causing destabilization effects to the ...
    • Explaining Query Answers in Probabilistic Databases 

      Debbi, Hichem (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Probabilistic databases have emerged as an extension of relational databases that can handle uncertain data under possible worlds semantics. Although the problems of creating effective means of probabilistic data representation ...
    • 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 ...
    • HDDSS: An Enhanced Heart Disease Decision Support System using RFE-ABGNB Algorithm 

      Dhilsath Fathima, M.; Justin Samuel, S.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Heart disease is the leading cause of mortality globally. Heart disease refers to a range of disorders that affect the heart and blood vessels. The risks of developing heart disease become minimized if heart disease is ...
    • Human Activity Recognition From Sensorised Patient's Data in Healthcare: A Streaming Deep Learning-Based Approach 

      Hurtado, Sandro; García-Nieto, José; Popov, Anton; Navas-Delgado, Ismael (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Physical inactivity is one of the main risk factors for mortality, and its relationship with the main chronic diseases has experienced intensive medical research. A well-known method for assessing people’s activity is the ...
    • IoT Detection System for Mildew Disease in Roses Using Neural Networks and Image Analysis 

      Torres, Laura; Romero, Luis; Aguirre, Edgar; Ferro Escobar, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Artificial intelligence presents different approaches, one of these is the use of neural network algorithms, a particular context is the farming sector and these algorithms support the detection of diseases in flowers, ...
    • Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques 

      Caro-Martínez, Marta; Jiménez-Díaz, Guillermo; Recio-García, Juan A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ...
    • 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 ...
    • Multi-Agent and Fuzzy Inference-Based Framework for Traffic Light Optimization 

      Ikidid, Abdelouafi; Abdelaziz, El Fazziki; Sadgal, Mohammed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Despite the fact that agent technologies have widely gained popularity in distributed systems, their potential for advanced management of vehicle traffic has not been sufficiently explored. This paper presents a traffic ...
    • 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 ...