Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare [0.03%]
值得信赖的AI在雷达生命体征中的应用：检测和缓解医疗保健中的性别偏见
Nour Ghadban,Jonathan Cooper,Julien Le Kernec
Nour Ghadban
Artificial intelligence (AI) has emerged as a fundamental component in modern healthcare, particularly in noninvasive monitoring of vital signs using radar-based systems. However, algorithmic fairness concerns, such as gender bias, can unde...
Affine non-negative collaborative representation based pattern classification [0.03%]
仿射非负协同表示模式分类方法
He-Feng Yin,Xiao-Jun Wu,Zhen-Hua Feng et al.
He-Feng Yin et al.
During the past decade, representation-based classification methods have received considerable attention in pattern recognition. In particular, the recently proposed non-negative representation based classification (NRC) method has been rep...
Predictive maintenance optimization for industrial equipment via reliable prognosis and risk-aware reinforcement learning [0.03%]
基于可靠预测和风险意识增强学习的工业设备预测维护优化
Zifei Xu,Qiang Zhang
Zifei Xu
Predictive maintenance (PdM) based on Remaining Useful Life (RUL) prediction plays a crucial role in improving performance and reducing lifecycle costs of industrial equipment. This study proposes an intelligent PdM framework that integrate...
Verticox+: vertically distributed Cox proportional hazards model with improved privacy guarantees [0.03%]
改进隐私保障的垂直分布Cox比例风险模型
Florian van Daalen,Djura Smits,Lianne Ippel et al.
Florian van Daalen et al.
Federated learning allows us to run machine learning algorithms on decentralized data when data sharing is not permitted due to privacy concerns. Various models have been adapted to use in a federated setting. Among these models is Verticox...
Improving SVM performance through data reduction and misclassification analysis with linear programming [0.03%]
基于线性规划的数据缩减及误分类分析在支持向量机性能提升中的应用研究
Carlos Aníbal Suárez,Mauricio Castro,Mariuxi Leon et al.
Carlos Aníbal Suárez et al.
In the dual optimization problem behind Support Vector Machine (SVM), each data point corresponds to a decision variable. Therefore, removing data points is equivalent to reducing the dimensionality of the dual problem, leading to a more ef...
Ehab Essa,Karima Omar,Ali Alqahtani
Ehab Essa
With the rapid growth of social networks and technology, knowing what news to believe and what not to believe become a challenge in this digital era. Fake news is defined as provably erroneous information transmitted intending to defraud. T...
WRANet: wavelet integrated residual attention U-Net network for medical image segmentation [0.03%]
基于小波的残差注意力U形网络医学图像分割方法_WRANet
Yawu Zhao,Shudong Wang,Yulin Zhang et al.
Yawu Zhao et al.
Medical image segmentation is crucial for the diagnosis and analysis of disease. Deep convolutional neural network methods have achieved great success in medical image segmentation. However, they are highly susceptible to noise interference...
A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment [0.03%]
一种求解复杂医院服务服务质量评估的模糊 Rough Copula Bayesian 网络模型方法
He Li,Mohammad Yazdi,Hong-Zhong Huang et al.
He Li et al.
Healthcare tends to be one of the most complicated sectors, and hospitals exist at the core of healthcare activities. One of the most significant elements in hospitals is service quality level. Moreover, the dependency between factors, dyna...
A biologically inspired decision-making system for the autonomous adaptive behavior of social robots [0.03%]
一种面向社交机器人自主适应行为的生物启发式决策系统
Marcos Maroto-Gómez,Álvaro Castro-González,María Malfaz et al.
Marcos Maroto-Gómez et al.
The decisions made by social robots while they fulfill their tasks have a strong influence on their performance. In these contexts, autonomous social robots must exhibit adaptive and social-based behavior to make appropriate decisions and o...
A new multi-attribute decision making approach based on new score function and hybrid weighted score measure in interval-valued Fermatean fuzzy environment [0.03%]
一种新的区间值Fermatean模糊环境下的多属性决策方法基于新得分函数和混合加权评分措施
Hongwu Qin,Qiangwei Peng,Xiuqin Ma et al.
Hongwu Qin et al.
Interval-valued Fermatean fuzzy sets (IVFFSs) were introduced as a more effective mathematical tool for handling uncertain information in 2021. In this paper, firstly, a novel score function (SCF) is proposed based on IVFFNs that can distin...