Multi-modal fusion network with complementarity and importance for emotion recognition
S Liu, P Gao, Y Li, W Fu, W Ding - Information Sciences, 2023 - Elsevier
Multimodal emotion recognition, that is, emotion recognition uses machine learning to
generate multi-modal features on the basis of videos which has become a research hotspot …
generate multi-modal features on the basis of videos which has become a research hotspot …
[HTML][HTML] Sports match prediction model for training and exercise using attention-based LSTM network
Sports matches are very popular all over the world. The prediction of a sports match is
helpful to grasp the team's state in time and adjust the strategy in the process of the match …
helpful to grasp the team's state in time and adjust the strategy in the process of the match …
Incorporating stock prices and text for stock movement prediction based on information fusion
Q Zhang, Y Zhang, F Bao, Y Liu, C Zhang… - Engineering Applications of …, 2024 - Elsevier
Forecasting stock market via historical financial data is an important issue for market
participants because even if the prediction accuracy is only slightly improved, better trading …
participants because even if the prediction accuracy is only slightly improved, better trading …
Assessing the factors influencing users accessing higher education content on TikTok
NA Rahimullah, SB Damayanti, AA Izra… - Cogent …, 2022 - Taylor & Francis
As its number of users increases, TikTok needs to focus on user retention. One such effort
involves answering educational needs through social media. The purpose of this study is to …
involves answering educational needs through social media. The purpose of this study is to …
Enhancing Micro-Video Venue Recognition via Multi-Modal and Multi-Granularity Object Relations
Micro-video venue recognition aims to predict the venue category where a micro-video was
filmed. Different from traditional long videos which contain rich temporal context, venue …
filmed. Different from traditional long videos which contain rich temporal context, venue …
[HTML][HTML] Intelligent fatigue damage tracking and prognostics of composite structures utilizing raw images via interpretable deep learning
In recent years, prognostics gained attention in various industries by optimizing
maintenance, boosting operational efficiency, and preventing costly downtime. Central to …
maintenance, boosting operational efficiency, and preventing costly downtime. Central to …
Attention-enhanced joint learning network for micro-video venue classification
Currently, micro-video is a popular form on various multimedia platforms. The venue
information of micro-videos is beneficial for venue-related applications, such as …
information of micro-videos is beneficial for venue-related applications, such as …
A semantic similarity computation method for virtual resources in cloud manufacturing environment based on information content
Z Zhang, Y Chen, X Wang - Journal of Manufacturing Systems, 2021 - Elsevier
To ensure the effective and reasonable classification of virtual resources and provide
support for the search and matching of required resources that accomplish tasks in cloud …
support for the search and matching of required resources that accomplish tasks in cloud …
Indoor Scene Recognition: An Attention-Based Approach Using Feature Selection-Based Transfer Learning and Deep Liquid State Machine
Scene understanding is one of the most challenging areas of research in the fields of
robotics and computer vision. Recognising indoor scenes is one of the research applications …
robotics and computer vision. Recognising indoor scenes is one of the research applications …
Attention-enhanced and trusted multimodal learning for micro-video venue recognition
Unified venue representation is typically generated by integrating multi-modal information of
micro-videos. It is also important to achieve reliable multi-modal fusion. In prior works, the …
micro-videos. It is also important to achieve reliable multi-modal fusion. In prior works, the …