Robotics & Machine Learning Daily News2024,Issue(Dec.4) :107-107.

Investigators from Polytechnic University of Valencia Release New Data on Machin e Learning (Wearable Low-cost and Low-energy Consumption Gas Sensor With Machine Learning To Recognize Outdoor Areas)

巴伦西亚理工大学的研究人员发布了关于机器学习(可穿戴低成本低能耗气体传感器,通过机器学习识别户外区域)的新数据

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :107-107.

Investigators from Polytechnic University of Valencia Release New Data on Machin e Learning (Wearable Low-cost and Low-energy Consumption Gas Sensor With Machine Learning To Recognize Outdoor Areas)

巴伦西亚理工大学的研究人员发布了关于机器学习(可穿戴低成本低能耗气体传感器,通过机器学习识别户外区域)的新数据

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据消息来源来自西班牙巴伦西亚的研究表明,“城市空气质量,受到人为因素的影响”污染影响健康,需要持续监测。MQ传感器是首选的空气传感器高质量传感器由于其cos t的高能耗,需要使用机器学习对不同类型的空气进行分类。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Valencia, Spain, by NewsRx c orrespondents, research stated, “Urban air quality, impacted by humanmadepollu tion, impacts health and requires continuous monitoring. MQ sensors are the pref erred airquality sensors despite their high energy consumption due to their cos t, requiring the use machine learningto classify different types of air.”

Key words

Valencia/Spain/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Polytechnic University of Valencia

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文