Trade-off between training and testing ratio in machine learning for medical image processing [0.03%]
医学图像处理中机器学习的训练集和测试集比例折中研究
Muthuramalingam Sivakumar,Sudhaman Parthasarathy,Thiyagarajan Padmapriya
Muthuramalingam Sivakumar
Artificial intelligence (AI) and machine learning (ML) aim to mimic human intelligence and enhance decision making processes across various fields. A key performance determinant in a ML model is the ratio between the training and testing da...
Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning [0.03%]
基于机器学习的 schizophrenia 诊断：利用多种时间窗静息态 EEG 特征
Athar Alazzawı,Saif Aljumaili,Adil Deniz Duru et al.
Athar Alazzawı et al.
Schizophrenia is a severe mental disorder that impairs a person's mental, social, and emotional faculties gradually. Detection in the early stages with an accurate diagnosis is crucial to remedying the patients. This study proposed a new me...
Detection and diagnosis of diabetic eye diseases using two phase transfer learning approach [0.03%]
基于两阶段迁移学习方法的糖尿病眼病检测与诊断模型研究
Vamsi Krishna Madduri,Battula Srinivasa Rao
Vamsi Krishna Madduri
Background: Early diagnosis and treatment of diabetic eye disease (DED) improve prognosis and lessen the possibility of permanent vision loss. Screening of retinal fundus images is a significant process widely employed fo...
Dapeng Li
Dapeng Li
The k-nearest neighbor algorithm is a powerful classification method. However, its classification performance will be affected in small-size samples with existing outliers. To address this issue, a pre-averaged pseudo nearest neighbor class...
Pre-touch reaction is preferred over post-touch reaction in interaction with displayed agent [0.03%]
与显示代理交互中，接触前反应比接触后反应更佳
Masahiro Shiomi
Masahiro Shiomi
A pre-touch reaction, which is a response before a physical contact, is an essential factor for natural human-agent interaction. Although numerous studies have investigated the effectiveness of pre-touch reaction design for virtual agents i...
DCWPSO: particle swarm optimization with dynamic inertia weight updating and enhanced learning strategies [0.03%]
基于动态惯性权重更新和增强学习策略的粒子群优化算法
Yibo Han,Meiting Lin,Ni Li et al.
Yibo Han et al.
Particle swarm optimization (PSO) stands as a prominent and robust meta-heuristic algorithm within swarm intelligence (SI). It originated in 1995 by simulating the foraging behavior of bird flocks. In recent years, numerous PSO variants hav...
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing [0.03%]
临床脑电图数据采集与信号处理的十大快速入门指南
Giulia Cisotto,Davide Chicco
Giulia Cisotto
Electroencephalography (EEG) is a medical engineering technique aimed at recording the electric activity of the human brain. Brain signals derived from an EEG device can be processed and analyzed through computers by using digital signal pr...
A flexible perception method of thin smoke based on patch total bounded variation for buildings [0.03%]
基于补丁有界变差的建筑物灵活型薄烟感知方法
Jieming Zhang,Yifan Gao,Xianchao Chen et al.
Jieming Zhang et al.
Early fire warning is critical to the safety and stability of power systems. However, current methods encounter challenges in capturing subtle features, limiting their effectiveness in providing timely alerts for potential fire hazards. To ...
Research on marine flexible biological target detection based on improved YOLOv8 algorithm [0.03%]
基于改进的YOLOv8算法的海洋柔性生物目标检测研究
Yu Tian,Yanwen Liu,Baohang Lin et al.
Yu Tian et al.
To address the challenge of suboptimal object detection outcomes stemming from the deformability of marine flexible biological entities, this study introduces an algorithm tailored for detecting marine flexible biological targets. Initially...
Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages [0.03%]
普什图语诗歌生成：低资源语言预训练变换器的深度学习方法
Imran Ullah,Khalil Ullah,Hamad Khan et al.
Imran Ullah et al.
Generating poetry using machine and deep learning techniques has been a challenging and exciting topic of research in recent years. It has significance in natural language processing and computational linguistics. This study introduces an i...