Cui Cui,Mohd Shahrizal Sunar,Goh Eg Su
Cui Cui
Hand gesture recognition is an approach to comprehending human body language, applied in various fields such as human-computer interaction. However, some issues remain in edge blurring generated by complex backgrounds, rotation inaccuracy i...
Sebastian Sünkler,Dirk Lewandowski,Sebastian Schultheiß et al.
Sebastian Sünkler et al.
The Result Assessment Tool (RAT) is a Python-based software toolkit that enables researchers to analyze results from commercial search engines, social media platforms, and library search systems. RAT provides an integrated environment for d...
A hybrid deep learning framework for skin disease localization and classification using wearable sensors [0.03%]
基于可穿戴传感器的皮肤病定位和分类的混合深度学习框架
Xiaoling Zhao,Huixin Zhang,Qian Zheng et al.
Xiaoling Zhao et al.
Accurate detection of skin diseases is essential for timely intervention and treatment. This article proposes a patch-based, interpretable deep learning framework for skin disease detection using wearable sensors and clinical data. Specific...
Quantification of left ventricular mass in multiple views of echocardiograms using model-agnostic meta learning in a few-shot setting [0.03%]
基于模型不可知元学习的少量样本心超图左室壁质量量化研究
Yeong Hyeon Kim,Donghoon Kim,Jin Young Youm et al.
Yeong Hyeon Kim et al.
Background: Reliable measurement of left ventricular mass (LVM) in echocardiography is essential for early detection of left ventricular dysfunction, coronary artery disease, and arrhythmia risk, yet growing patient volum...
Hongxia Wang,Teng Lv
Hongxia Wang
With the increasing prevalence and diversity of imaging devices, palmprint recognition has emerged as a technology that better meets the demands of the modern era. However, traditional manual methods have limitations in effectively extracti...
BEPCD: an ensemble learning-based intrusion detection framework for in-vehicle CAN bus [0.03%]
基于集成学习的车辆CAN总线入侵检测框架BEPCD
Bocheng Xu,Fei Cao,Xilong Li et al.
Bocheng Xu et al.
With the rapid development and widespread adoption of intelligent vehicles and the Internet of Vehicles (IoV), vehicle security has become a growing concern. Modern vehicles manage key components via the controller area network (CAN) connec...
Deep learning in time series forecasting with transformer models and RNNs [0.03%]
基于Transformer模型和RNN的深度学习在时间序列预测中的应用
Rogerio Pereira Dos Santos,João P Matos-Carvalho,Valderi R Q Leithardt
Rogerio Pereira Dos Santos
Given the increasing need for accurate weather forecasts, the use of neural networks, especially transformer and recurrent neural networks (RNNs), has been highlighted for their ability to capture complex patterns in time series. This study...
Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategies [0.03%]
基于变压器的人类微生物与疾病关联预测的集成损失策略优化
Rong Zhu,Yong Wang,Junliang Shang et al.
Rong Zhu et al.
Microorganisms play an important role in many complex diseases, influencing their onset, progression, and potential treatment outcomes. Exploring the associations between microbes and human diseases can deepen our understanding of disease m...
Enhanced recurrent attention-deep Q learning with optimal node constrains and effective penalty based model for data transmission scheduling on wireless sensor networks [0.03%]
基于最优节点约束和有效惩罚机制的增强型循环注意力深度Q学习传输调度模型及其在无线传感器网络中的应用研究
D R Anita Sofia Liz,Yesubai Rubavathi C
D R Anita Sofia Liz
Effective scheduling of data transmission is critical to maximizing network performance and resource usage in the context of wireless sensor networks (WSNs). In order to improve the effectiveness of data transmission scheduling in wireless ...
Enhancing fruit freshness classification with adaptive knowledge distillation and global response normalization in convolutional networks [0.03%]
基于自适应知识蒸馏和全局响应归一化的卷积网络水果新鲜度分类增强方法
Semih Demirel,Oktay Yıldız
Semih Demirel
The assessment of fruit freshness is crucial for ensuring food quality and reducing waste in agricultural production. In this study, we propose Global Response Normalization and Gaussian Error Linear Unit Enhanced Network (GGENet), a novel ...