Mostrando ítems 1-13 de 13

    • A Platform for Swimming Pool Detection and Legal Verification Using a Multi-Agent System and Remote Image Sensing 

      Sánchez San Blas, Héctor; Carmona Balea, Antía; Sales, A.; Augusto Silva, Luís; Villarrubia González, Gabriel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Spain is the second country in Europe with the most swimming pools. However, the legal literature estimates that 20% of swimming pools are not declared or irregular.The administration has a corps of people who manually ...
    • Adaptation of Applications to Compare Development Frameworks in Deep Learning for Decentralized Android Applications 

      Sainz-de-Abajo, Beatriz; Laso, Sergio; Garcia-Alonso, Jose (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Not all frameworks used in machine learning and deep learning integrate with Android, which requires some prerequisites. The primary objective of this paper is to present the results of the analysis and a comparison of ...
    • Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations 

      Seo, Min-Ji; Kim, Myung-Ho (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Sequential recommendation aims to predict the user’s next action based on personal action sequences. The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem. ...
    • Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach 

      López Flórez, Sebastián; González-Briones, Alfonso; Hernández, Guillermo; Ramos, Carlos; de la Prieta, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Counting cells in a Neubauer chamber on microbiological culture plates is a laborious task that depends on technical experience. As a result, efforts have been made to advance computer vision-based approaches, increasing ...
    • ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System 

      Qasim Gandapur, Maryam; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...
    • COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning 

      Kumar Roy, Pradeep; Singh, Ashish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ...
    • Deep Learning Assisted Medical Insurance Data Analytics With Multimedia System 

      Zhang, Cheng; Vinodhini, B.; Muthu, Bala Anand (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Big Data presents considerable challenges to deep learning for transforming complex, high-dimensional, and heterogeneous biomedical data into health care data. Various kinds of data are analyzed in recent biomedical research ...
    • Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering 

      Vélez de Mendizabal, Iñaki; Vidriales, Xabier; Basto-Fernandes, Vitor; Ezpeleta, Enaitz; Méndez, José Ramón; Zurutuza, Urko (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
    • 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 ...
    • 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 ...
    • Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation 

      Durães, Dalila; Veloso, Bruno; Novais, Paulo (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Human nature is inherently intertwined with violence, impacting the lives of numerous individuals. Various forms of violence pervade our society, with physical violence being the most prevalent in our daily lives. The study ...