A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems
FA Alhaidari, AM Alrehan - International Journal of …, 2021 - journals.sagepub.com
Vehicular Ad hoc NETwork is a promising technology providing important facilities for
modern transportation systems. It has garnered much interest from researchers studying the …
modern transportation systems. It has garnered much interest from researchers studying the …
Assessment of potato late blight from UAV-based multispectral imagery
J Rodriguez, I Lizarazo, F Prieto… - … and Electronics in …, 2021 - Elsevier
This paper evaluates a method for assessment and detection of potato late blight using UAV-
based multispectral imagery. Traditional methods of detection and mapping of late blight are …
based multispectral imagery. Traditional methods of detection and mapping of late blight are …
基于信息量模型的云南东川泥石流易发性评价
孙滨， 祝传兵， 康晓波， 叶雷， 刘益 - 中国地质灾害与防治学报, 2022 - zgdzzhyfzxb.com
以东川泥石流为研究对象, 选取高程, 坡度, 坡向, 起伏度, 曲率, 工程岩组, 距断层距离,
距水系距离, 土地利用类型9 个影响因子, 以研究区144 条泥石流为样本数据 …
距水系距离, 土地利用类型9 个影响因子, 以研究区144 条泥石流为样本数据 …
Canonical correlation analysis of dimension reduced degradation feature space for machinery condition monitoring
Health indicator (HI) is an important metric to characterize a degradation process and detect
the fault initiation time of rotating machineries as early as possible for condition monitoring …
the fault initiation time of rotating machineries as early as possible for condition monitoring …
基于证据权法的昆明五华区地质灾害易发性评价
白光顺， 杨雪梅， 朱杰勇， 张世涛， 祝传兵… - 中国地质灾害与防治 …, 2022 - zgdzzhyfzxb.com
地质灾害易发性评价是国土空间规划和区域地质灾害防灾减灾的重要依据.
为探索适合云南高原低山丘陵区地质灾害易发性评价方法, 论文选择云南省昆明市五华区为典型 …
为探索适合云南高原低山丘陵区地质灾害易发性评价方法, 论文选择云南省昆明市五华区为典型 …
Receiver operating characteristic (ROC) curves: equivalences, beta model, and minimum distance estimation
T Gneiting, P Vogel - Machine learning, 2022 - Springer
Receiver operating characteristic (ROC) curves are used ubiquitously to evaluate scores,
features, covariates or markers as potential predictors in binary problems. We characterize …
features, covariates or markers as potential predictors in binary problems. We characterize …
EEG-based analysis for pilots' at-risk cognitive competency identification using RF-CNN algorithm
S Jiang, W Chen, Z Ren, H Zhu - Frontiers in Neuroscience, 2023 - frontiersin.org
Cognitive competency is an essential complement to the existing ship pilot screening system
that should be focused on. Situation awareness (SA), as the cognitive foundation of unsafe …
that should be focused on. Situation awareness (SA), as the cognitive foundation of unsafe …
基于三种多变量不安定指数分析模型的汶川县地质灾害易发性评价
毕鸿基， 聂磊， 曾超， 范晨， 周天伦… - 中国地质灾害与防治 …, 2022 - zgdzzhyfzxb.com
采用多变量不安定指数分析法模型并加以改进, 应用于汶川县地质灾害易发性评价. 选取坡度,
坡向, 地层岩性, 距断层距离, 植被覆盖率及距水系距离六项影响因子, 结合四川省自然资源厅 …
坡向, 地层岩性, 距断层距离, 植被覆盖率及距水系距离六项影响因子, 结合四川省自然资源厅 …
Feasibility study of Google's Teachable Machine in diagnosis of tooth-marked tongue
H Jeong - Journal of dental hygiene science, 2020 - koreascience.kr
Background: A Teachable Machine is a kind of machine learning web-based tool for general
persons. In this paper, the feasibility of Google's Teachable Machine (ver. 2.0) was studied …
persons. In this paper, the feasibility of Google's Teachable Machine (ver. 2.0) was studied …
Breast cancer prediction based on multiple machine learning algorithms
S Zhou, C Hu, S Wei, X Yan - Technology in Cancer …, 2024 - journals.sagepub.com
Introduction The incidence of breast cancer has steadily risen over the years owing to
changes in lifestyle and environment. Presently, breast cancer is one of the primary causes …
changes in lifestyle and environment. Presently, breast cancer is one of the primary causes …