相关实验视频

Updated: Jul 8, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.5K

基于机器学习的混合灰色辅助鱼优化用于COVID-19预测

A Shyamala1, S Murugeswari2, G Mahendran2

  • 1Department of Electronics and Communication Engineering, Mohamed Sathak Engineering College, Kilakarai, Ramanathapuram, Chennai, Tamil Nadu, India.

Computer methods in biomechanics and biomedical engineering
|December 19, 2023
PubMed
概括

这项研究引入了一种用于预测COVID-19结果的机器学习模型. 混合灰色辅助鱼优化算法 - 适应性基于网络的模糊推理系统 (H-GAWOA-ANFIS) 实现了出色的预测准确性,特别是在死亡病例中.

关键词:
这就是Covid-19的原因.死亡率 死亡率 死亡率健康问题健康问题机器学习模型机器学习模型幸存率 幸存率 幸存率

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

6.8K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

592

相关概念视频

Conservation of Small Populations02:04

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
13.1K