相关实验视频

Updated: Jun 12, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K

通过可解释的人工智能理解废水处理厂污泥的机器学习预测

Fuad Bin Nasir1, Jin Li1

  • 1Department of Civil and Environ Engineering, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

Water environment research : a research publication of the Water Environment Federation
|September 25, 2024
PubMed
概括

机器学习模型准确地预测了废水处理厂的污泥产量. 可解释的人工智能技术揭示了影响这些预测的关键因素,有助于过程优化.

关键词:
可解释的人工智能机器学习是机器学习.污泥污泥是一种污泥.废水处理厂的废水处理厂.

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

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

Published on: August 16, 2020

6.7K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.3K

相关概念视频

Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
137