Mostrando ítems 1-15 de 15

    • A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups 

      Bobadilla, Jesús; Gutiérrez, Abraham; Alonso, Santiago; Hurtado, Remigio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, ...
    • Two-Stage Human Activity Recognition Using 2D-ConvNet 

      Verma, Kamal Kant; Singh, Brij Mohan; Mandoria, H L; Chauhan, Prachi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector. Increasing demand of automatic ...
    • Tree Growth Algorithm for Parameter Identification of Proton Exchange Membrane Fuel Cell Models 

      Kamel, Salah; Jurado, Francisco; Sultan, Hamdy; Menesy, Ahmed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Demonstrating an accurate mathematical model is a mandatory issue for realistic simulation, optimization and performance evaluation of proton exchange membrane fuel cells (PEMFCs). The main goal of this study is to demonstrate ...
    • Transmission Dynamics Model of Coronavirus COVID-19 for the Outbreak in Most Affected Countries of the World 

      Dur-e-Ahmad, Muhammad; Imran, Mudassar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The wide spread of coronavirus (COVID-19) has threatened millions of lives and damaged the economy worldwide. Due to the severity and damage caused by the disease, it is very important to fore-tell the epidemic lifetime ...
    • An Extreme Learning Machine-Relevance Feedback Framework for Enhancing the Accuracy of a Hybrid Image Retrieval System 

      Shikha, B; Gitanjali, P; Kumar, D. Pawan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The process of searching, indexing and retrieving images from a massive database is a challenging task and the solution to these problems is an efficient image retrieval system. In this paper, a unique hybrid Content-based ...
    • Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data 

      Núñez-Valdez, Edward; Solanki, Vijender Kumar; Balakrishna, Sivadi; Thirumaran, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor technologies huge and variety of streaming sensor data is generated. The unification of streaming sensor data is a challenging problem. Moreover, ...
    • NFC and VLC based Mobile Business Information System for Registering Class Attendance 

      Rios-Aguilar, Sergio; Sarría Martínez-Mendivil, Íñigo; Beltrán Pardo, Marta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      This work proposes a Mobile Information System for class attendance control using Visible Light Communications (VLC), and the students’ own mobile devices for automatic clocking in and clocking out. The proposed information ...
    • COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach 

      Saiz, Fátima; Barandiaran, Iñigo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ...
    • An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods 

      Fyad, Houda; Barigou, Fatiha; Bouamrane, Karim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Current Genome-wide advancements in Gene chips technology provide in the “Omics (genomics, proteomics and transcriptomics) research”, an opportunity to analyze the expression levels of thousand of genes across multiple ...
    • A Holistic Methodology for Improved RFID Network Lifetime by Advanced Cluster Head Selection using Dragonfly Algorithm 

      Rathore, Pramod Singh; Kumar, Abhishek; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Radio Frequency Identification (RFID) networks usually require many tags along with readers and computation facilities. Those networks have limitations with respect to computing power and energy consumption. Thus, for ...
    • Guidelines for performing Systematic Research Projects Reviews 

      García-Holgado, Alicia; Marcos-Pablos, Samuel; García-Peñalvo, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      There are different methods and techniques to carry out systematic reviews in order to address a set of research questions or getting the state of the art of a particular topic, but there is no a method to carry out a ...
    • Editor's Note 

      Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI (ISSN 1989 - 1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and ...
    • Time-Dependent Performance Prediction System for Early Insight in Learning Trends 

      Villagrá-Arnedo, Carlos; Gallego-Durán, Francisco; Llorens-Largo, Faraón; Satorre-Cuerda, Rosana; Compañ-Rosique, Patricia; Molina-Carmona, Rafael (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Performance prediction systems allow knowing the learning status of students during a term and produce estimations on future status, what is invaluable information for teachers. The majority of current systems statically ...
    • Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation 

      Huang, Wenlin; Wu, Qun; Dey, Nilanjan; Ashour, Amira; Fong, Simon James; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      More and more products are no longer limited to the satisfaction of the basic needs, but reflect the emotional interaction between people and environment. The characteristics of user emotions and their evaluation scales ...
    • On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms 

      Saleem, Nasir; Khattak, Muhammad Irfan; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...