Mostrando ítems 213-232 de 746

    • Comparative Study of Classification Techniques on Breast Cancer FNA Biopsy Data 

      You, Haowen;; Rumbe, George (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2010)
      Accurate diagnostic detection of the cancerous cells in a patient is critical and may alter the subsequent treatment and increase the chances of survival rate. Machine learning techniques have been instrumental in ...
    • Comparative Study of Clustering Algorithms in Text Mining Context 

      JALIL, Abdennour Mohamed; HAFIDI, Imad; ALAMI, Lamiae; ENSA, Khouribga (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The spectacular increasing of Data is due to the appearance of networks and smartphones. Amount 42% of world population using internet [1]; have created a problem related of the processing of the data exchanged, which ...
    • Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT) 

      Kumar, Sumit; Kumar-Solanki, Vijender; Kumar Choudhary, Saket; Selamat, Ali; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ...
    • Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech 

      Planet, Santiago; Iriondo, Ignasi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)
      The automatic analysis of speech to detect affective states may improve the way users interact with electronic devices. However, the analysis only at the acoustic level could be not enough to determine the emotion of a ...
    • 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 ...
    • Comparison between Famous Game Engines and Eminent Games 

      Mishra, Prerna; Shrawankar, Urmila (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      Nowadays game engines are imperative for building 3D applications and games. This is for the reason that the engines appreciably reduce resources for employing obligatory but intricate utilities. This paper elucidates about ...
    • Comparison of Clustering Algorithms for Learning Analytics with Educational Datasets 

      Martínez Navarro, Álvaro; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      Learning Analytics is becoming a key tool for the analysis and improvement of digital education processes, and its potential benefit grows with the size of the student cohorts generating data. In the context of Open ...
    • Comparison of Feedforward Network and Radial Basis Function to Detect Leukemia 

      Bijalwan, Vishwanath; Balodhi, Meenu; Bagwari, Pragya; Saxena, Bhavya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      Leukemia is a fast growing cancer also called as blood cancer. It normally originates near bone marrow. The need for automatic leukemia detection system rises ever since the existing working methods include labor-intensive ...
    • Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Dueñas-Lerín, Jorge; Ortega, Fernando; Gutiérrez, Abraham (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      Matrix factorization models are the core of current commercial collaborative filtering Recommender Systems. This paper tested six representative matrix factorization models, using four collaborative filtering datasets. ...
    • 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. ...