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    • A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak 

      Liu, Xian-Xian; Fong, Simon James; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Applied intelligence, 2021)
      Measuring the spread of disease during a pandemic is critically important for accurately and promptly applying various lockdown strategies, so to prevent the collapse of the medical system. The latest pandemic of COVID-19 ...

    • A New Technique in saving Fingerprint with low volume by using Chaos Game and Fractal Theory 

      Jampour, Mahdi; Javidi, Mohammad M.; Nejad, Adel Soleymani; Ashourzadeh, Maryam; Yaghoobi, Mahdi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2010)
      Fingerprint is one of the simplest and most reliable biometric features of human for identification. In this study by using fractal theory and by the assistance of Chaos Game a new fractal is made from fingerprint. While ...

    • A Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network 

      Jha, Sudan; Dey, Anirban; Kumar, Raghvendra; Kumar-Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Visual Question Answering (VQA) is a stimulating process in the field of Natural Language Processing (NLP) and Computer Vision (CV). In this process machine can find an answer to a natural language question which is related ...

    • A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning 

      Kishor, Amit; Chakraborty, Chinmay; Jeberson, Wilson (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      In the recent scenario, the most challenging requirements are to handle the massive generation of multimedia data from the Internet of Things (IoT) devices which becomes very difficult to handle only through the cloud. Fog ...

    • A Novel Hybrid Approach for Fast Block Based Motion Estimation 

      Arora, Shaifali; Khanna, Kavita; Rajpal, Navin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      The current work presents a novel hybrid approach for motion estimation of various video sequences with a purpose to speed up the entire process without affecting the accuracy. The method integrates the dynamic Zero motion ...

    • A Novel Smart Grid State Estimation Method Based on Neural Networks 

      Abdel-Nasser, Mohamed; Mahmoud, Karar; Kashef, Heba (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      The rapid development in smart grids needs efficient state estimation methods. This paper presents a novel method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural ...

    • 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 ...

    • A pedagogy of abundance 

      Weller, Martin (Revista Española de Pedagogía, 31/05/2011)
      The digitalisation of content combined with a global network for delivery and an open system for sharing has seen radical changes in many industries. The economic model which has underpinned many content based industries ...

    • A Personalized Brand Proposal Based on User’s Satisfaction and Curriculum Supported by an Intelligent Job Recommender System 

      Rigaud Téllez, Nelly ; Rayón Villela, Patricia (Springer Science and Business Media Deutschland GmbH, 2021)
      One of the main challenges’ universities are confronted is the personalization of education services to improve quality mechanisms and strategies for supporting and assisting students when entering the workforce. Although ...

    • 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 ...

    • A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks 

      Fukuda, Sho; Yamanaka, Yuuma; Yoshihiro, Takuya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2014)
      Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of ...

    • A propósito de los "Pueblos Pestalozzi" 

      Bovet, Pierre (Revista Española de Pedagogía, 04/1948)
      La idea de fundar pueblos equipados especialmente con todo lo que un niño victima de la guerra necesita para recuperar la salud del cuerpo y del alma, para orientarse en la vida y dar en ella, bajo una dirección perspicaz ...

    • A propósito de Paul Boghossian en “El miedo al conocimiento” 

      Ruiz San Román, José Antonio (Nueva Revista, 26/06/2018)
      Frente a las tesis dominantes que sostienen que el conocimiento es algo «socialmente construido», Paul Boghossian defiende que «las cosas tienen una manera de ser independiente de las opiniones humanas».

    • A propósito de “Óscar o la felicidad de existir” 

      Pérez de la Fuente, Juan Carlos (Nueva Revista, 18/07/2018)
      He aquí la herencia de "Óscar o la felicidad de existir": sus cartas. Su verdad. A partir de ese legado reconstruimos y descubrimos su historia, su enfermedad, su lucha y su esperanza: la del niño moribundo que se abre a ...

    • A Prototype for linear features generalization 

      Lorenzo Romero, Wenceslao; González-Crespo, Rubén; Castillo Sanz, Andrés G (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2010)
      A computer application designed to generalize linear elements in a vector formatted cartographic set by means of two of the most contrasted line generalization algorithms, Douglas-Peucker simplification and Bézier curves ...

    • ¿A qué encuestas hacer caso? 

      Michavila Núñez, Narciso (Nueva Revista, 17/07/2017)
      A partir de las elecciones españolas de junio de 2016 y, más tarde, del Brexit, se ha hablado mucho de que las encuestas electorales o similares no aciertan. ¿Cómo hay que hacer las encuestas para acertar? ¿A qué encuestas ...

    • A Randomized Study on the Efficacy of the Social Cognition Training Program-Brief Version in a Sample of Patients With Schizophrenia 

      Fernández-Modamio, Mar; Gil-Sanz, David; Arrieta-Rodríguez, Marta; Santacoloma-Cabero, Iciar; Bengochea-Seco, Rosario; González-Fraile, Eduardo ; Muñiz, José (Psychiatric reabilitation journal, 2021)
      Objective: In recent years, various interventions have been developed to train social cognition in schizophrenia, which have been shown to be effective in improving emotional processing, theory of mind and social perception, ...

    • A real-life machine learning experience for predicting university dropout at different stages using academic data 

      Fernández-García, Antonio Jesús ; Preciado, Juan Carlos; Melchor, Fran; Rodriguez-Echeverría, Roberto; Conejero Manzano, José María; Sánchez, Fernando (Institute of Electrical and Electronics Engineers Inc., 2021)
      High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ...

    • A Recent Trend in Individual Counting Approach Using Deep Network 

      Ghazvini, Anahita; Abdullah, Siti Norul Huda Sheikh; Ayob, Masri (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ...

    • A Repository of Semantic Open EHR Archetypes 

      Sánchez, Fernando; Benavides, Samuel; Moreno, Fernando; Garzón, Guillermo; Roldan Garcia, Maria del Mar; Navas-Delgado, Ismael; Aldana-Montes, Jose F. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2015)
      This paper describes a repository of openEHR archetypes that have been translated to OWL. In the work presented here, five different CKMs (Clinical Knowledge Managers) have been downloaded and the archetypes have been ...