Mostrando ítems 1-20 de 22

    • An Intelligent Technique for Grape Fanleaf Virus Detection 

      Mohammadpoor, Mojtaba; Nooghabi, Mohadese Gerami; Ahmedi, Zahra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases of grapes, which can damage up to 85% of the crop, if not treated at the right time. The aim of this study is to identify infected leaves with GFLV ...
    • Analysis of Students' Behavior through User Clustering in Online Learning Settings, Based on Self Organizing Maps Neural Networks 

      Delgado, Soledad; Morán, Federico; San José, José Carlos (1); Burgos, Daniel (1) (Institute of Electrical and Electronics Engineers Inc., 2021)
      An accurate analysis of user behaviour in online learning environments is a useful means of early follow up of students, so that they can be better supported to improve their performance and achieve the expected competences. ...
    • Artificial Intelligence Seen Through the Lens of Bateson’s Ecology of Mind 

      Griffiths, Dai (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Gregory Bateson developed a number of ideas which are relevant to artificial intelligence, and in particular to the ascription of qualities such as mind, consciousness, spirituality and the sacred. Relevant sections of ...
    • Artificial intelligence seen through the lens of bateson’s ecology of mind 

      Griffiths, D (1) (Universidad Internacional de la Rioja, 2021)
      Gregory Bateson developed a number of ideas which are relevant to artificial intelligence, and in particular to the ascription of qualities such as mind, consciousness, spirituality and the sacred. Relevant sections of ...
    • Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing 

      Torres-Pruñonosa, Jose (1); García-Estévez, Pablo; Prado-Román, Camilo (MDPI, 06/04/2021)
      We used a large sample of 188,652 properties, which represented 4.88% of the total housing stock in Catalonia from 1994 to 2013, to make a comparison between different real estate valuation methods based on artificial ...
    • Clasification Of Arrhythmic ECG Data Using Machine Learning Techniques 

      Vishwa, Abhinav; Lal, Mohit K.; Dixit, Sharad; Vardwaj, Dr. Pritish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)
      In this paper we proposed a automated Artificial Neural Network (ANN) based classification system for cardiac arrhythmia using multi-channel ECG recordings. In this study, we are mainly interested in producing high confident ...
    • Comparación de funciones kernel para la predicción de la oferta energética fotovoltaica 

      Mora-Paz, Héctor Andrés; Riascos, Jaime A.; Salazar-Castro, J.A.; Mora, Germán; Pantoja, Andrés; Revelo-Fuelagán, Javier; Mancera, Laura (1); Peluffo-Ordoñez, Diego (RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 12/2020)
      Recientemente, en los campos del cambio climático y de la demanda de energía se ha volcado la atención al estudio y descubrimiento de patrones en energías renovables, como la fotovoltaica. Estos patrones pueden obtenerse ...
    • 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 ...
    • Comparativo de kernels sobre predicción de oferta de fuentes alternativas de energía 

      Mora-Paz, Héctor Andrés (10/10/2019)
      La necesidad de mitigar la crisis del cambio climático y suplir la demanda energética, ha girado la atención hacia las fuentes de energías limpias, como la fotovoltaica. Promoviendo estudios enfocados en la oferta como ...
    • 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 ...
    • Extensive Classification of Visual Art Paintings for Enhancing Education System using Hybrid SVM-ANN with Sparse Metric Learning based on Kernel Regression 

      Xu, Fei; Wu, Tong; Huang, Shali; Han, Kuntong; Lin, Wenwen; Wu, Shizhong; CB, Sivaparthipan; Dinesh Jackson, Samuel R (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In recent decades, the collection of visual art paintings is large, digitized, and available for public uses that are rapidly growing. The development of multi-media systems is needed due to the huge amount of digitized ...
    • How on Earth Did Spanish Banking Sell the Housing Stock? 

      Torres-Pruñonosa, Jose; García-Estévez, Pablo; Raya, Josep Maria; Prado-Román, Camilo (Sage, 04/03/2022)
      The accumulation of properties by Spanish banks during the crisis of the first decade of the 21st century has definitely changed the housing market. An optimal house price valuation is useful to determine the bank’s actual ...
    • Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach 

      Bhaskar-Semwal, Vijay; Raj, Manish; Nandi, G C (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Developing a correct model for a biped robot locomotion is extremely challenging due to its inherently unstable structure because of the passive joint located at the unilateral foot-ground contact and varying configurations ...
    • Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning 

      Machado Fernández, José Raúl; Bacallao Vidal, Jesús de la Concepción (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ...
    • Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks 

      Bacallao-Vidal, Jesús Concepción; Machado-Fernández, José Raúl (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ...
    • Learning Models for Semantic Classification of Insufficient Plantar Pressure Images 

      Dey, Nilanjan; Wu, Yao; Wu, Qun; Sherratt, Simon (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
    • Performance Enhancement of Wind Farms Using Tuned SSSC Based on Artificial Neural Network 

      Kamel, Salah; Jurado, Francisco; Rashad, Ahmed; Ibrahim, Yousry; Nasrat, Loai (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      Recently, power systems are confronting a lot of challenges. Increasing the dependence on renewable energy sources especially wind energy and its impact on the stability of electrical systems are the most important challenges. ...
    • Predicción niveles de precipitación para la identificación de zonas agrícolas 

      Guerrero-Álvarez, Jorge Alejandro (2021)
      Las condiciones climáticas representan un factor primordial en el desarrollo de los cultivos, fenómenos climáticos como lluvias intensas y sequias simbolizan una amenaza a la producción agrícola. La dificultad para estimar ...
    • Sales Prediction through Neural Networks for a Small Dataset 

      Cantón Croda, Rosa María; Gibaja Romero, Damián Emilio; Caballero Morales, Santiago Omar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Sales forecasting allows firms to plan their production outputs, which contributes to optimizing firms' inventory management via a cost reduction. However, not all firms have the same capacity to store all the necessary ...
    • Soft Computing Modelling of Urban Evolution: Tehran Metropolis 

      Borhani, Mostafa; Ghasemloo, Nima (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Exploring computational intelligence, geographic information systems and statistical information, a creative and innovative model for urban evolution is presented in this paper. The proposed model employs fuzzy logic and ...