Mostrando ítems 21-25 de 25

    • Motivic Pattern Classification of Music Audio Signals Combining Residual and LSTM Networks 

      Arronte Alvarez, Aitor; Gómez, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      Motivic pattern classification from music audio recordings is a challenging task. More so in the case of a cappella flamenco cantes, characterized by complex melodic variations, pitch instability, timbre changes, extreme ...
    • Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features 

      Hernandez-Olivan, Carlos; Beltran, Jose R.; Diaz-Guerra, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ...
    • Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI 

      Kaliyugarasan, Satheshkumar; Lundervold, Arvid; Lundervold, Alexander Selvikvåg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      We construct a convolutional neural network to classify pulmonary nodules as malignant or benign in the context of lung cancer. To construct and train our model, we use our novel extension of the fastai deep learning ...
    • Synthetic Aperture Radar Automatic Target Recognition Based on a Simple Attention Mechanism 

      Ukwuoma, Chiagoziem Chima; Zhiguang, Qin; Tienin, Bole W.; Yussif, Sophyani B.; Ejiyi, Chukwuebuka Joseph; Urama, Gilbert C.; Ukwuoma, Chibueze D.; Chikwendu, Ijeoma Amuche (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      A simple but effective channel attention module is proposed for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). The channel attention technique has shown recent success in improving Deep Convolutional ...
    • Two-Stage Human Activity Recognition Using 2D-ConvNet 

      Verma, Kamal Kant; Singh, Brij Mohan; Mandoria, H L; Chauhan, Prachi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector. Increasing demand of automatic ...