[PDF][PDF] Deep neural networks for detection of abnormal trend in electricity data
J Zheng, J Wang, J Li, S Chen, L Shu… - Proceedings of the …, 2021 - academiaromana.ro
Electricity data not only demonstrates electricity consumption of different time in different
region, but also reflects the trend of electricity consumption in different time. Thus, the …
region, but also reflects the trend of electricity consumption in different time. Thus, the …
Machine Learning-based Oddity Detection of Smoke and Gas Sensor Data in a Large Gated Community
DS Harsha, B Suresh… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Oddity detection identifies strange events or observations that are statistically distinct from
the rest of the data and can cause concern. The paper proposes a method to find oddities …
the rest of the data and can cause concern. The paper proposes a method to find oddities …
Detection of gps spoofing attacks based on isolation forest
S Zuo, Y Liu, D Zhang, P Xin… - 2021 IEEE 9th International …, 2021 - ieeexplore.ieee.org
As Global Positioning System (GPS) use non-encryption signals, GPS receivers are
vulnerable to spoofing attacks, most of applications of defense base on detect signal power …
vulnerable to spoofing attacks, most of applications of defense base on detect signal power …
图记忆诱导的大气排污时序数据异常检测算法.
宋文燏， 周海波， 吴宗培， 李海员… - Journal of East China …, 2023 - search.ebscohost.com
大幅降低环境污染是国家“碳中和” 和“碳达峰” 战略的核心目标, 降低大气排污是其关键.
如何有效评估有关企业的污染排放数据质量是一个技术难题. 本文以时间序列异常数据检测技术 …
如何有效评估有关企业的污染排放数据质量是一个技术难题. 本文以时间序列异常数据检测技术 …
Image Memory Induced Anomaly Detection Algorithm for Atmospheric Pollutant Emission Time-Series Data
S Wenyu, Z Haibo, WU Zongpei… - Journal of East China …, 2023 - journal.ecust.edu.cn
Effectively evaluating the quality of pollution emission data from relevant enterprises is a
significant technical problem. Based on time-series anomaly detection, IMI-TSA (Image …
significant technical problem. Based on time-series anomaly detection, IMI-TSA (Image …