• Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN 

      Huddar, Mahesh G.; Sannakki, Sanjeev S.; Rajpurohit, Vijay S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The availability of an enormous quantity of multimodal data and its widespread applications, automatic sentiment analysis and emotion classification in the conversation has become an interesting research topic among the ...
    • Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks 

      Liu, Jie; Dey, Nilanjan; Das, Nabanita; González-Crespo, Rubén ; Shi, Fuqian; Liu, Chanjuan (Applied Soft Computing, 2022)
      Functional magnetic resonance imaging (fMRI) is widely used for clinical examinations, diagnosis, and treatment. By segmenting fMRI images, large-scale medical image data can be processed more efficiently. Most 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 ...