Cerebral micro-bleeding detection based on densely connected neural network
Cerebral micro-bleedings (CMBs) are small chronic brain hemorrhages that have many side
effects. For example, CMBs can result in long-term disability, neurologic dysfunction …
effects. For example, CMBs can result in long-term disability, neurologic dysfunction …
A novel similarity measurement and clustering framework for time series based on convolution neural networks
X Ding, K Hao, X Cai, XS Tang, L Chen, H Zhang - Ieee Access, 2020 - ieeexplore.ieee.org
In recent years, with the development of machine learning, especially after the rise of deep
learning, time series clustering has been proven to effectively provide useful information in …
learning, time series clustering has been proven to effectively provide useful information in …
[PDF][PDF] Bidirectional residual LSTM-based human activity recognition
Abstract The Residual Long Short Term Memory (LSTM) deep learning approach is
attracting attension of many researchers due to its efficiency when trained on high …
attracting attension of many researchers due to its efficiency when trained on high …
Self-organizing hierarchical incremental learning framework and universal approximation analysis based on stochastic configuration mechanism
B Shi, Y Ou, D Wang, G Zhao - Information Sciences, 2025 - Elsevier
Conventional machine learning algorithms face significant limitations when dealing with
high-dimensional data. Besides, deep learning models often require substantial …
high-dimensional data. Besides, deep learning models often require substantial …
Human action recognition using laban movement analysis and dynamic time warping
Bilateral interaction between humans and robots is one of the areas that has attracted much
attention in recent years. Automation of human behavior recognition is one of the main steps …
attention in recent years. Automation of human behavior recognition is one of the main steps …
基于时序深度残差收缩网络的混叠信号调制识别方法
刘京华， 魏祥麟， 范建华， 胡永扬， 王晓波， 于兵 - 电信科学, 2024 - infocomm-journal.com
基于深度学习进行信号自动调制识别在分类精度, 可迁移性等方面普遍优于传统方法,
引起广泛关注. 但是, 当前方法多数针对单信号样本进行识别, 无法适用于混叠信号识别场景 …
引起广泛关注. 但是, 当前方法多数针对单信号样本进行识别, 无法适用于混叠信号识别场景 …
Bi-lateral interaction between a humanoid robot and a human in mixed reality
Z Ramezanpanah - 2020 - hal.science
This thesis can be divided into two parts: action recognition and emotion recognition. Each
part is done in two method, classic method of Machine Learning and deep network. In the …
part is done in two method, classic method of Machine Learning and deep network. In the …