In various manufacturing applications such as steel, composites, and textile production, anomaly detection in noisy images is of special importance. Although there are several methods for image denois

DataCite Commons2020-09-04 更新80

智能识别负流速数据异常算法模型的监测训练数据

水文监测

异常检测

本数据集主要用于提升AI模型对ADCP设备负流速数据异常的识别能力与精确性。通过对该数据集的训练，使AI模型能够精准识别负流速异常现象，并可应用于水文监测设备校准、数据质量控制和逆向流监测等场景。同时，本数据集可为智慧水利系统、潮汐监测平台等建设项目提供决策依据。 1. 数据采集通过企业自有ADCP设备自行采集水文监测数据，同步记录数据ID、采集时间、设备型号、地理坐标、流速、信号强度、水流

浙江省数据知识产权登记平台2025-12-19 更新60

ROBUST METHODOLOGY FOR DETECTION OF SPIKES IN MULTIBEAM ECHO SOUNDER DATA

测深数据处理

异常检测

Abstract Currently, during the operation in shallow waters, scanning systems, such as multibeam systems, are capable of collecting thousands of points in a short time, promoting a greater coverage of

DataCite Commons2021-03-26 更新90

a brief explanation of the technical terms.

异常检测

数据分析

BackgroundRoutine healthcare data are increasingly stored in electronic health records (EHRs), presenting an exciting opportunity to leverage machine learning (ML) for detecting and predicting medical

Figshare2026-03-16 更新60

Real-Time Anomaly Detection and Adaptive Resource

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