Listar Revista IJIMAI por título 

Listar Revista IJIMAI por título

Mostrando ítems 222-241 de 743

    • 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 ...

    • Computer-aided diagnosis of pancreatic and lung cancer 

      Núñez Díaz, A. Álvaro; Lancho Tofé, B. Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      When we talk about cancer diagnosis the most important thing is early diagnosis to prevent cancer cells from spreading. We may also consider the high cost of diagnostic tests. Our approach seeks to address both problems. ...

    • Conceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Making 

      Adrian, Cecilia; Abdullah, Rusli; Atan, Rodziah; Jusoh, Yusmadi Yah (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      The significance of big data advancement has benefited various organizations to leverage the potential insights and capabilities of big data in organizational performance and decision-making. However, the analytics outcome ...

    • Conceptual Model for Smart Cities: Irrigation and Highway Lamps using IoT 

      Solanki, Vijender Kumar; Venkaesan, M; Katiyar, Somesh (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2017)
      Keeping in mind the need to preserve energy as well as utilize the available at its best the need was felt to develop a module that would be able to sort out the problem where resources such as water and electricity were ...

    • Conceptualizing the e-Learning Assessment Domain using an Ontology Network 

      Romero, Lucía; Gutiérrez, Milagros; Caliusco, María Laura (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)
      During the last year, approaches that use ontologies, the backbone of the Semantic Web technologies, for different purposes in the assessment domain of e-Learning have emerged. One of these purposes is the use of ontologies ...

    • Confidentiality of 2D Code using Infrared with Cell-level Error Correction 

      Teraura, Nobuyuki; Sakurai, Kouichi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2013)
      Optical information media printed on paper use printing materials to absorb visible light. There is a 2D code, which may be encrypted but also can possibly be copied. Hence, we envisage an information medium that cannot ...

    • Connecting possibilistic prudence and optimal saving 

      Lucia Casademunt, Ana María; Georgescu, Irina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2013)
      In this paper we study the optimal saving problem in the framework of possibility theory. The notion of possibilistic precautionary saving is introduced as a measure of the way the presence of possibilistic risk (represented ...

    • Consensus-Based Learning for MAS: Definition, Implementation and Integration in IVEs 

      Carrascosa, C.; Enguix, F.; Rebollo, M.; Rincon, J. (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      One of the main advancements in distributed learning may be the idea behind Google’s Federated Learning (FL) algorithm. It trains copies of artificial neural networks (ANN) in a distributed way and recombines the weights ...

    • Construction of a Benchmark for the User Experience Questionnaire (UEQ) 

      Schrepp, Martin; Thomaschewski, Jörg; Hinderks, Andreas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      Questionnaires are a cheap and highly efficient tool for achieving a quantitative measure of a product’s user experience (UX). However, it is not always easy to decide, if a questionnaire result can really show whether a ...

    • Content-Based Hyperspectral Image Compression Using a Multi-Depth Weighted Map With Dynamic Receptive Field Convolution 

      Pan, Shaoming; Gu, XiaoLin; Chong, Yanwen; Guo, Yuanyuan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In content-based image compression, the importance map guides the bit allocation based on its ability to represent the importance of image contents. In this paper, we improve the representational power of importance map ...

    • Contour Detection of Mammogram Masses Using ChanVese Model and B-Spline Approximation 

      Youssef, Youssef Ben; El Abdelmounim, hassane; Lamnii, Abdellah (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      ChanVese model segmentation has been applied for contour detection of mass region in mammogram in our previous work. Available information of the desired object contour is used, in this paper, for B-spline approximation. ...

    • Contour Enhancement Algorithm for Improving Visual Perception of Deutan and Protan Dichromats 

      Ribeiro, Madalena; Gomes, Abel (06/2019)
      A variety of recoloring methods has been proposed in the literature to remedy the problem of confusing red-green colors faced by dichromat people (as well by other color-blinded people). The common strategy to mitigate ...

    • Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix 

      Atmani, Baghdad; Benhacine, Fatima Zohra; Abdelouhab, Fawzia Zohra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, ...

    • 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 ...

    • Correlation Between Coupling Metrics Values and Number of Classes in Multimedia Java Projects: A Case Study 

      Bivde, V S; Sarasu, P (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      Coupling is an interdependence relationship between the modules of object-oriented software. It is a property with the most influence on quality attributes of the object-oriented software. Coupling with high values results ...

    • Cosine Similarity Based Hierarchical Skeleton and Cross Indexing for Large Scale Image Retrieval Using Mapreduce Framework 

      Qianwen, Zhong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The imaging data in various fields like industries, institutions, medical, and so on has grown exponentially in recent years. An innovative software solution is required for the efficient management of image data. The ...

    • 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 ...

    • 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 ...

    • COVID-19 Mortality Risk Prediction Using X-Ray Images 

      Prada, J.; Gala, Y.; Sierra, A. L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...

    • Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings 

      Nosek, Tijana V.; Suzić, Siniša B.; Pekar, Darko J.; Obradović, Radovan J.; Sečujski, Milan S.; Delić, Vlado D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The paper presents a novel architecture and method for speech synthesis in multiple languages, in voices of multiple speakers and in multiple speaking styles, even in cases when speech from a particular speaker in the ...