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  • 中文期刊(557348)
  • 外文期刊(3)
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期刊名称

  • aquacultural engineering(1)
  • computers and electronics in agriculture(1)
  • sensors(1)

关键词

  • dissolved oxygen; aquaculture; iot monitoring system; prediction model; regularized extreme learning machine(1)
  • time series; dissolved oxygen prediction; clustering; extreme learning machine(1)
  • wireless sensor networks; data fusion; support degree function; dynamic time warping; sensor-cloud; water quality monitoring(1)

作者

  • Shi, Pei AND Li, Guanghui AND Shi, Pei AND Yuan, Yongming AND Kuang, Liang(0)

机构

  • chinese acad fishery sci, freshwater fisheries res ctr, wuxi 214081, peoples r china(3)
  • jiangsu vocat coll informat technol, sch iot engn, wuxi 214153, peoples r china(3)
  • jiangnan univ, sch iot engn, wuxi 214122, peoples r china(2)
  • deakin univ, sch informat technol, melbourne, australia(1)
  • deakin univ, sch informat technol, melbourne, vic, australia(1)
  • jiangnan univ, sch artificial intelligence & comp sci, wuxi, peoples r china(1)
  • minist educ, engn res ctr internet things technol applicat, wuxi 214122, peoples r china(1)
  • nanjing univ informat sci & technol, sch comp & software, nanjing 210044, peoples r china(1)
  • wuxi univ, sch iot engn, wuxi 214105, peoples r china(1)

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年份

  • 2024(1)
  • 2019(1)
  • 2018(1)
科研产出
资源类型: 外文期刊
作者:Shi, Pei(精确检索)
作者:Li, Guanghui(精确检索)
作者:Shi, Pei(精确检索)
作者:Yuan, Yongming(精确检索)
作者:Kuang, Liang(精确检索)
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共3条记录
1Dissolved oxygen prediction using regularized extreme learning machine with clustering mechanism in a black bass aquaculture pond

作者：

机构：

来源：AQUACULTURAL ENGINEERING

关键词： Dissolved oxygen; Aquaculture; IoT monitoring system; Prediction model; Regularized extreme learning machine

年份：2024

2Data Fusion Using Improved Support Degree Function in Aquaculture Wireless Sensor Networks

作者：

机构：

来源：SENSORS

关键词： wireless sensor networks; data fusion; support degree function; dynamic time warping; sensor-cloud; water quality monitoring

年份：2018

3Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine

作者：

机构：

来源：COMPUTERS AND ELECTRONICS IN AGRICULTURE

关键词： Time series; Dissolved oxygen prediction; Clustering; Extreme learning machine

年份：2019

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