A new machine learning method for rainfall classification: temporal random tree [0.03%]
一种新的降雨分类机器学习方法：时序随机树
Kokten Ulas Birant,Bita Ghasemkhani,Özlem Varlıklar et al.
Kokten Ulas Birant et al.
Traditional classification algorithms usually assume that all samples in a dataset contribute equally to the training of a machine learning model, which is not always the case. In fact, samples in temporal data, such as precipitation data, ...
Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm [0.03%]
基于弹性网回归和改进型 Crow 搜索算法的新生儿脑损伤分类方法研究
Ling Li,Tao Yue,Hui Wu et al.
Ling Li et al.
Neonatal brain injury carries the risk of neurological sequelae such as epileptic seizures, cerebral palsy, intellectual disability, and even death. Classification methods based on electroencephalography (EEG) signals and machine learning a...
Jeongseon Kim,Soohwan Jeong,Jungeun Kim et al.
Jeongseon Kim et al.
In social network analysis, bridges play a critical role in maintaining connectivity and facilitating the dissemination of information between communities. Despite increasing interest in bridge structures, a systematic classification of the...
DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis [0.03%]
基于不平衡数据的中文情感分析中的主动学习子序列不确定性与多样性的动态检测算法
Shufeng Xiong,Yibo Si,Guipei Zhang et al.
Shufeng Xiong et al.
Sentiment structure analysis in Chinese text typically relies on supervised deep-learning methods for sequence labeling. However, obtaining large-scale labeled datasets is both resource-intensive and time-consuming. To address these challen...
PSLDV-Hop: a robust localization algorithm for WSN using PSO and refinement process [0.03%]
基于粒子群优化和精化过程的WSN定位算法PLSDV-Hop
Bhupinder Kaur,Deepak Prashar,Arfat Ahmad Khan et al.
Bhupinder Kaur et al.
In various areas, wireless sensor networks (WSNs) are popular for achieving goals related to security in buildings when there is fire, in military areas to know the position of terrorists in moles and to observe the behavior of animals in f...
Predicting danceability and song ratings using deep learning and auditory features [0.03%]
基于深度学习和听觉特征的预测歌曲舞蹈性和评分的新方法
Wei Wu
Wei Wu
Predicting a song's danceability and overall rating poses a significant challenge due to the complex interplay between musical characteristics and listener preferences. In this study, we propose a deep learning framework that jointly addres...
Van Duc Vu,Van Thiep Nguyen,Nam Hai Pham et al.
Van Duc Vu et al.
In the field of robotics, object grasping is a complex and challenging task. Although state-of-the-art computer vision-based models have made significant progress in predicting grasps, the lack of semantic information from textual data make...
Omar Zatarain,Juan Carlos González-Castolo,Silvia Ramos-Cabral
Omar Zatarain
This work introduces a method for the semantic similarity of long documents using sentence transformers and large language models. The method detects relevant information from a pair of long texts by exploiting sentence transformers and lar...
Design of tennis auxiliary teaching system based on reinforcement learning and multi-feature fusion [0.03%]
基于强化学习和多特征融合的网球辅助教学系统设计
Shiquan Zhang,Chaohong Gan
Shiquan Zhang
To accurately identify and evaluate tennis movements, a tennis auxiliary teaching system based on reinforcement learning and multi-feature fusion was designed by combining deep learning methods with tennis-related knowledge to recognize and...
Local-global multi-scale attention network for medical image segmentation [0.03%]
一种局部-全局多尺度注意力网络的医学图像分割方法
Minghui Zhu,Dapeng Cheng,Yanyan Mao et al.
Minghui Zhu et al.
With the continuous advancement of deep learning technologies, deep learning-based medical image segmentation methods have achieved remarkable results. However, existing segmentation approaches still face several key challenges, including t...