检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:Alexandra Zabala-López Mario Linares-Vásquez Sonia Haiduc Yezid Donoso
机构地区:[1]Colombian Air Force-Air and Space Operations Command-Aerospace Technology Development Centre for the Defense-CETAD,Avenida El Dorado Cra.54 No 26-25 CAN,Bogota,Colombia [2]Universidad de los Andes,Edificio Mario Laserna Cra 1 Este No 19A-40,Bogota,Colombia [3]Florida State University,James Jay Love Building,253,1017 Academic Way,Tallahassee 32304,FL,United States
出 处:《Defence Technology(防务技术)》2024年第12期226-246,共21页Defence Technology
基 金:funded by the Colombian Air Force。
摘 要:In a time characterized by the availability of vast amounts of data,the effective utilization of information is critical for timely decision-making in military operations.However,processing large amounts of data requires computational resources and time.Therefore,decision makers have used data-centric technologies to take advantage of public and private data sources to support military operations.This survey explores the integration and application of data-centric technologies,such as data analytics,data science,and machine learning,to optimize decision-making workflows within military contexts supporting the deployment of military assets and resources.To address the information gap,this article presents a literature review,specifically a survey.Our survey examines the use of the mentioned technologies to process and analyze information that contributes to the phases of situational awareness,and planning in military environments.We then introduce a taxonomy of the approaches associated with implementing these technologies in military scenarios.Furthermore,we discuss relevant factors for the seamless integration of data-centric technologies into military decision-making processes,and reveal the importance of specialized personnel,architectures,and cybersecurity issues in the task of developing prototypes and models.The findings of this paper aim to provide valuable insights for military institutions,offering a deeper understanding of the use of data-centric technologies as innovative practices to enhance the effectiveness of military decision-making.
关 键 词:Data-centric technologies MILITARY ANALYTICS Machine learning Data science Artificial intelligence
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.17.142.93