Cognitive warfare: a conceptual analysis of the NATO ACT cognitive warfare exploratory concept [0.03%]
认知作战：北约认知作战探索性概念之理论分析
Christoph Deppe,Gary S Schaal
Christoph Deppe
This study evaluates NATO ACT's cognitive warfare concept from a political science perspective, exploring its utility beyond military applications. Despite its growing presence in scholarly discourse, the concept's interdisciplinary nature ...
An enhanced whale optimization algorithm for task scheduling in edge computing environments [0.03%]
用于边缘计算环境的任务调度的增强鲸鱼优化算法
Li Han,Shuaijie Zhu,Haoyang Zhao et al.
Li Han et al.
The widespread use of mobile devices and compute-intensive applications has increased the connection of smart devices to networks, generating significant data. Real-time execution faces challenges due to limited resources and demanding appl...
Yezi Liu,Hanning Chen,Mohsen Imani
Yezi Liu
Link prediction is a crucial task in network analysis, but it has been shown to be prone to biased predictions, particularly when links are unfairly predicted between nodes from different sensitive groups. In this paper, we study the fair l...
Exploring code portability solutions for HEP with a particle tracking test code [0.03%]
利用粒子跟踪测试代码探索HEP中的代码可移植性解决方案
Hammad Ather,Sophie Berkman,Giuseppe Cerati et al.
Hammad Ather et al.
Traditionally, high energy physics (HEP) experiments have relied on x86 CPUs for the majority of their significant computing needs. As the field looks ahead to the next generation of experiments such as DUNE and the High-Luminosity LHC, the...
Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery [0.03%]
述评：利用大数据和深度学习提升医疗智能及生物医学服务递送水平
V E Sathishkumar
V E Sathishkumar
Big data and AI for gender equality in health: bias is a big challenge [0.03%]
大数据和人工智能在健康领域的性别平等：偏见是主要障碍
Anagha Joshi
Anagha Joshi
Artificial intelligence and machine learning are rapidly evolving fields that have the potential to transform women's health by improving diagnostic accuracy, personalizing treatment plans, and building predictive models of disease progress...
Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub [0.03%]
基于INSPIRE网络数据枢纽的纵向心理健康数据整合：利用生命周期和OMOP词汇表进行精神健康状况分期数据库的构建与应用研究
Bylhah Mugotitsa,Tathagata Bhattacharjee,Michael Ochola et al.
Bylhah Mugotitsa et al.
Background: Longitudinal studies are essential for understanding the progression of mental health disorders over time, but combining data collected through different methods to assess conditions like depression, anxiety, ...
Petar Radanliev,David De Roure,Carsten Maple et al.
Petar Radanliev et al.
Internet-of-Things (IoT) refers to low-memory connected devices used in various new technologies, including drones, autonomous machines, and robotics. The article aims to understand better cyber risks in low-memory devices and the challenge...
Ontology extension by online clustering with large language model agents [0.03%]
基于大型语言模型代理的在线聚类本体扩展方法研究
Guanchen Wu,Chen Ling,Ilana Graetz et al.
Guanchen Wu et al.
An ontology is a structured framework that categorizes entities, concepts, and relationships within a domain to facilitate shared understanding, and it is important in computational linguistics and knowledge representation. In this paper, w...
Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients [0.03%]
用于检测异常体积调制旋转治疗计划的无监督机器学习模型（以肺癌患者为例）
Peng Huang,Jiawen Shang,Yuhan Fan et al.
Peng Huang et al.
Purpose: Volumetric modulated arc therapy (VMAT) is a new treatment modality in modern radiotherapy. To ensure the quality of the radiotherapy plan, a physics plan review is routinely conducted by senior clinicians; howev...