H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA
O-methylation (2OM) is the most common post-transcriptional modification of RNA. It plays a
crucial role in RNA splicing, RNA stability and innate immunity. Despite advances in high …
crucial role in RNA splicing, RNA stability and innate immunity. Despite advances in high …
Speech emotion recognition using attention model
Speech emotion recognition is an important research topic that can help to maintain and
improve public health and contribute towards the ongoing progress of healthcare …
improve public health and contribute towards the ongoing progress of healthcare …
Learning speech emotion representations in the quaternion domain
The modeling of human emotion expression in speech signals is an important, yet
challenging task. The high resource demand of speech emotion recognition models …
challenging task. The high resource demand of speech emotion recognition models …
Electroencephalogram-based emotion recognition using factorization temporal separable convolution network
Abstract Temporal Convolutional Networks (TCNs) expand their receptive field through
dilated convolutions, which is essential for capturing dependencies in longer sequences …
dilated convolutions, which is essential for capturing dependencies in longer sequences …
[HTML][HTML] A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
In recent years, there has been a growing interest in using artificial intelligence (AI) for
rainfall-runoff modelling, as it has shown promising adaptability in this context. The current …
rainfall-runoff modelling, as it has shown promising adaptability in this context. The current …
Design of smart home system speech emotion recognition model based on ensemble deep learning and feature fusion
M Wang, H Ma, Y Wang, X Sun - Applied Acoustics, 2024 - Elsevier
In the realm of consumer technology, Artificial Intelligence (AI)-based Speech Emotion
Recognition (SER) has rapidly gained traction and integration into smart home systems. Its …
Recognition (SER) has rapidly gained traction and integration into smart home systems. Its …
SERVER: Multi-modal speech emotion recognition using transformer-based and vision-based embeddings
This paper proposes a multi-modal approach for speech emotion recognition (SER) using
both text and audio inputs. The audio embedding is extracted by using a vision-based …
both text and audio inputs. The audio embedding is extracted by using a vision-based …
Speech emotion recognition: A brief review of multi-modal multi-task learning approaches
Speech emotion recognition (SER) has become an attention-grabbing topic in recent years
thanks to the development of deep learning in the field of speech processing. However, it is …
thanks to the development of deep learning in the field of speech processing. However, it is …
Improved speech emotion classification using deep neural network
M Hama Saeed - Circuits, Systems, and Signal Processing, 2023 - Springer
Speech emotion recognition (SER), which has gained greater attention in recent years, is a
key aspect of the human–computer interaction process. However, a wide range of strategies …
key aspect of the human–computer interaction process. However, a wide range of strategies …
[Retracted] Analyzing the Role of Emotional Intelligence on the Performance of Small and Medium Enterprises (SMEs) Using AI‐Based Convolutional Neural …
SH Serbaya - Security and Communication Networks, 2022 - Wiley Online Library
Human emotion detection is necessary for social interaction and plays an important role in
our daily lives. Artificial intelligence research is rising, focusing on automated emotion …
our daily lives. Artificial intelligence research is rising, focusing on automated emotion …