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Updated: Jul 1, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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BREATH-Net:一种新的深度学习框架,用于NO2预测,使用双向编码器与变压器.

Abhishek Verma1, Virender Ranga2, Dinesh Kumar Vishwakarma3

  • 1Biometric Research Laboratory, Department of Information Technology, Delhi Technological University, Bawana Road, Delhi, 110042, India. abhishekcms08@gmail.com.

Environmental monitoring and assessment
|March 4, 2024
PubMed
概括

这项研究介绍了BREATH-Net,一种新的深度学习模型,使用卫星和地面数据准确预测德里的二氧化 (NO2) 水平. 该模型显著改善了空气质量监测和预测,有助于缓解呼吸系统健康问题.

关键词:
空气污染 大气污染空气质量管理 管理空气质量深度学习是一种深度学习.德里德里德里德里德里德里德里德里德这是LSTM的LSTM.机器学习 机器学习二氧化是二氧化的一种物质.预测 预测 预测卫星数据数据 卫星数据数据变压器变压器变压器城市地区的城市区域.

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