関連する実験動画

Updated: Sep 9, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K

タイムシリーズのデータに対するアノマリー検出モデルの検出性主導の推奨

Xianmin Liu, Xu Gao, Wenbo Li

    IEEE transactions on cybernetics
    |September 4, 2025
    PubMed
    まとめ

    この研究では,タイムシリーズのデータを用いた異常検出モデルを推奨するための新しい方法が導入されています. 効率的に最良のモデルを選択し,オンラインアプリケーションでコンピューティングリソースを節約します.

    さらに関連する動画

    Design and Analysis for Fall Detection System Simplification08:05

    Design and Analysis for Fall Detection System Simplification

    Published on: April 6, 2020

    10.8K
    Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator06:45

    Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

    Published on: October 28, 2022

    1.8K

    関連する概念動画

    Steps in Outbreak Investigation01:18

    Steps in Outbreak Investigation

    In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
    185
    Detection of Gross Error: The Q Test01:00

    Detection of Gross Error: The Q Test

    When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
    6.4K
    Quantifying and Rejecting Outliers: The Grubbs Test01:02

    Quantifying and Rejecting Outliers: The Grubbs Test

    Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
    2.0K
    Survival Tree01:19

    Survival Tree

    Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
     Building a Survival Tree
    Constructing a...
    157
    The Availability Heuristic01:08

    The Availability Heuristic

    A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
    6.4K
    Time-Series Graph00:54

    Time-Series Graph

    A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
    4.5K