Mostrando ítems 1-20 de 21

    • LIPSNN: A Light Intrusion-Proving Siamese Neural Network Model for Facial Verification 

      Alcaide, Asier; Patricio, Miguel A.; Berlanga, Antonio; Arroyo, Angel; Cuadrado Gallego, Juan J. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Facial verification has experienced a breakthrough in recent years, not only due to the improvement in accuracy of the verification systems but also because of their increased use. One of the main reasons for this has been ...
    • Social Relations and Methods in Recommender Systems: A Systematic Review 

      Medel, Diego; González-González, Carina; V. Aciar, Silvana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      With the constant growth of information, data sparsity problems, and cold start have become a complex problem in obtaining accurate recommendations. Currently, authors consider the user's historical behavior and find ...
    • Optimistic Motion Planning Using Recursive Sub- Sampling: A New Approach to Sampling-Based Motion Planning 

      Kenye, Lhilo; Kala, Rahul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Sampling-based motion planning in the field of robot motion planning has provided an effective approach to finding path for even high dimensional configuration space and with the motivation from the concepts of sampling ...
    • Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata 

      Anari, Z.; Hatamlou, A.; Anari, B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
    • Towards a Robust Thermal-Visible Heterogeneous Face Recognition Approach Based on a Cycle Generative Adversarial Network 

      Kamel Benamara, Nadir; Zigh, Ehlem; Boudghene Stambouli, Tarik; Keche, Mokhtar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Security is a sensitive area that concerns all authorities around the world due to the emerging terrorism phenomenon. Contactless biometric technologies such as face recognition have grown in interest for their capacity ...
    • A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems 

      Adimoolam, M.; Mohan, Senthilkumar; A., John; Srivastava, Gautam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ...
    • Predictive Model for Taking Decision to Prevent University Dropout 

      Urbina-Nájera, Argelia B.; Méndez-Ortega, Luis A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Dropout is an educational phenomenon studied for decades due to the diversity of its causes, whose effects fall on society's development. This document presents an experimental study to obtain a predictive model that allows ...
    • Editor's Note 

      Dey, Nilanjan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      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 report ...
    • Improving Pipelining Tools for Pre-processing Data 

      Novo-Lourés, María; Lage, Yeray; Pavón, Reyes; Laza, Rosalía; Ruano-Ordás, David; Méndez, José Ramón (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      The last several years have seen the emergence of data mining and its transformation into a powerful tool that adds value to business and research. Data mining makes it possible to explore and find unseen connections between ...
    • Research on the Application of Computer Graphic Advertisement Design Based on a Genetic Algorithm and TRIZ Theory 

      Song, Yang (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      In view of the shortcomings of the traditional thinking of computer graphic advertising design, this paper introduces TRIZ innovative thinking to design computer advertising. First of all, combined with specific cases of ...
    • Computer Entertainment Technologies for the Visually Impaired: An Overview 

      López Ibáñez, Manuel; Romero-Hernández, Alejandro; Manero, Borja; Guijarro, María (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Over the last years, works related to accessible technologies have increased both in number and in quality. This work presents a series of articles which explore different trends in the field of accessible video games for ...
    • Writing Order Recovery in Complex and Long Static Handwriting 

      Diaz, Moises; Crispo, Gioele; Parziale, Antonio; Marcelli, Angelo; Ferrer, Miguel A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of complex and long handwriting from static images. ...
    • Multimodal Human Eye Blink Recognition Using Z-score Based Thresholding and Weighted Features 

      Singh Lamba, Puneet; Virmani, Deepali; Pillai, Manu S.; Chaudhary, Gopal (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      A novel real-time multimodal eye blink detection method using an amalgam of five unique weighted features extracted from the circle boundary formed from the eye landmarks is proposed. The five features, namely (Vertical ...
    • MDFRCNN: Malware Detection using Faster Region Proposals Convolution Neural Network 

      Deore, Mahendra; Kulkarni, Uday (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Technological advancement of smart devices has opened up a new trend: Internet of Everything (IoE), where all devices are connected to the web. Large scale networking benefits the community by increasing connectivity and ...
    • CDPS-IoT: Cardiovascular Disease Prediction System Based on IoT using Machine Learning 

      Ahamed, Jameel; Manan Koli, Abdul; Ahmad, Khaleel; Alam Jamal, Mohd.; Gupta, B. B. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Internet of Things, Machine learning, and Cloud computing are the emerging domains of information communication and technology. These techniques can help to save the life of millions in the medical assisted environment and ...
    • Automatic Classification of Oral Pathologies Using Orthopantomogram Radiography Images Based on Convolutional Neural Network 

      Laishram, Anuradha; Thongam, Khelchandra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      An attempt has been made to device a robust method to classify different oral pathologies using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN). This system will provide a novel approach for the ...
    • Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities 

      Bobadilla, Jesús; Gutiérrez, Abraham; Alonso, Santiago; González-Prieto, Ángel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Neural collaborative filtering is the state of art field in the recommender systems area; it provides some models that obtain accurate predictions and recommendations. These models are regression-based, and they just return ...
    • CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making 

      Fernández-García, Antonio Jesús; Preciado, Juan Carlos; Prieto, Álvaro E.; Sánchez-Figueroa, Fernando; Gutiérrez, Juan D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...
    • ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement 

      Khattak, Muhammad Irfan; Saleem, Nasir; Nawaz, Aamir; Ahmed Almani, Aftab; Umer, Farhana; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...
    • Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data 

      Alonso-Misol Gerlache, Héctor; Moreno-Ger, Pablo; de-la-Fuente-Valentín, Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ...