Mostrando ítems 1-20 de 31

    • A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation 

      Amador-Domínguez, Elvira; Serrano, Emilio; Manrique, Daniel; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. ...
    • A Convolution Neural Network Engine for Sclera Recognition 

      Harish, B S; Maheshan, M S; Nagadarshan, N (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ...
    • 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. ...
    • Alzheimer Disease Detection Techniques and Methods: A Review 

      Afzal, Sitara; Maqsood, Muazzam; Khan, Umair; Mehmood, Irfan; Nawaz, Hina; Aadil, Farhan; Song, Oh-Young; Yunyoung, Nam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
    • Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Ortega, Fernando; Gutiérrez, Abraham; Alonso, Santiago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ...
    • Comparativa de Técnicas de Preprocesamiento y Entrenamiento para Detección de Hemorragias Intracraneales 

      Arroyo-Rubio, Fernando (22/02/2020)
      En las últimas dos décadas, el mundo de la medicina está teniendo un notable interés por el uso del procesamiento de imágenes con Inteligencia Artificial para la detección de numerosas enfermedades y lesiones que tienen ...
    • Comparativa y entrenamiento de modelos de Smart Mobility: detección y alerta temprana de ciclistas 

      Fernández-Alonso, Juan Carlos (22/09/2021)
      Este proyecto se enfocará en el ámbito de la Movilidad Inteligente y, más concretamente, en la detección temprana de objetos en la vía. En primer lugar, se realizará una breve descripción del estado del arte de dicha línea ...
    • Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization 

      Acosta Agudelo, Oscar Esneider; Montenegro, Carlos Enrique; González-Crespo, Rubén (1) (Springer Science and Business Media Deutschland GmbH, 2021)
      A correction to this paper has been published: https://bv.unir.net:2133/10.1007/s00500-021-05852-9. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.
    • 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 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 ...
    • Deep Belief Network and Auto-Encoder for Face Classification 

      Bouchra, Nassih; Mohammed, Ngadi; Nabil, Hmina; Aouatif, Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...
    • Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation 

      Suruliandi, A.; Kasthuri, A.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ...
    • Deep learning approach to Automated data collection and processing of video surveillance in sports activity prediction 

      Zeng, Bin; Sanz Prieto, Iván (1); Luhach, Ashish Kr. (Springer, 2021)
      Human activity recognition is one of today's key fields of automated video surveillance. The technology of smart surveillance technology plays a crucial role. Despite efforts in recent years, it is still difficult to ...
    • Deep Learning for Diabetic Retinopathy Prediction 

      Rodriguez-Leon, C.; Arevalo, William (1); Banos, Oresti; Villalonga, Claudia (Springer Science and Business Media Deutschland GmbH, 2021)
      Diabetic retinopathy is a complication of diabetes mellitus. Its early diagnosis can prevent its progression and avoid the development of other major complications such as blindness. Deep learning and transfer learning ...
    • Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms 

      Verma, Kamal Kant; Singh, Brij Mohan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...
    • Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments 

      Saleem, Nasir; Khattak, Muhammad Irfan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech. The ...
    • DeepFair: Deep Learning for Improving Fairness in Recommender Systems 

      Bobadilla, Jesús; Lara-Cabrera, Raúl; González-Prieto, Ángel; Ortega, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The lack of bias management in Recommender Systems leads to minority groups receiving unfair recommendations. Moreover, the trade-off between equity and precision makes it difficult to obtain recommendations that meet both ...
    • Detección y clasificación de obstáculos mediante visión estéreo en la toma inteligente de decisiones para robots autónomos en espacios reducidos. 

      Báez-Maldonado, José Daniel (22/09/2020)
      Mientas aumenta el uso de robots de navegación autónoma dentro de ambientes compartidos con humanos, se vuelve más evidente la necesidad de mejorar las medidas de seguridad que éstos integran para que su movilidad no ...
    • Detección y Diagnóstico de Fallas en Rodamientos con Velocidad Variable Aplicando Aprendizaje Profundo 

      Arias-Cijanes, Cesar Augusto (20/07/2020)
      Detectar potenciales anomalías en rodamientos de equipos rotativos, minimiza el riesgo de pérdidas de lucro cesante, costos de reparación y afectación de seguridad de procesos como consecuencia de una falla. Los rodamientos ...
    • Development of a deep learning model for recognising traffic sings focused on difficult cases 

      De Arriba López, Vanessa; Cobos-Guzmán, Salvador (1) (Springer Science and Business Media Deutschland GmbH, 2021)
      The automotive industry is expanding its efforts to develop new techniques for increasing the level of intelligent driving and create new autonomous cars capable of driving with more intelligent capabilities. Thus, companies ...