DF classification algorithm for constructing a small sample size of data-oriented DF regression model
The deep forest (DF) model is built using a multilayer ensemble of forest units through
decision tree aggregation. DF presents characteristics of an easy-to-understand structure, is …
decision tree aggregation. DF presents characteristics of an easy-to-understand structure, is …
Dioxin emission prediction based on improved deep forest regression for municipal solid waste incineration process
Dioxin (DXN) emission concentration is an important environmental indicator in the
municipal solid waste incineration (MSWI) process. The prediction model of DXN emission …
municipal solid waste incineration (MSWI) process. The prediction model of DXN emission …
Dioxin emission modeling using feature selection and simplified DFR with residual error fitting for the grate-based MSWI process
Municipal solid waste incineration (MSWI) with grate technology is a widely applied waste-to-
energy process in various cities in China. Meanwhile, dioxins (DXN) are emitted at the stack …
energy process in various cities in China. Meanwhile, dioxins (DXN) are emitted at the stack …
A global-information-constrained deep learning network for digital elevation model super-resolution
X Han, X Ma, H Li, Z Chen - Remote Sensing, 2023 - mdpi.com
High-resolution DEMs can provide accurate geographic information and can be widely used
in hydrological analysis, path planning, and urban design. As the main complementary …
in hydrological analysis, path planning, and urban design. As the main complementary …
Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization
Furnace temperature (FT) is a key variable in municipal solid waste incineration (MSWI)
processes, influenced by many manipulated variables and directly impacting pollutant …
processes, influenced by many manipulated variables and directly impacting pollutant …
Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm
The furnace temperature field is key information to reflect the combustion conditions and is
related to process safety, equipment failure rates, and pollution emissions in municipal solid …
related to process safety, equipment failure rates, and pollution emissions in municipal solid …
Online measurement of dioxin emission in solid waste incineration using fuzzy broad learning
Dioxin (DXN) is a persistent organic pollutant produced from municipal solid waste
incineration (MSWI) processes. It is a crucial environmental indicator to minimize emission …
incineration (MSWI) processes. It is a crucial environmental indicator to minimize emission …
DEIDS: a novel intrusion detection system for industrial control systems
Owing to the development of industrial production, the hidden danger in industrial control
systems (ICSs) has considerably increased, causing challenges in traditional safety defense …
systems (ICSs) has considerably increased, causing challenges in traditional safety defense …
城市固废焚烧过程智能优化控制研究现状与展望
汤健， 夏恒， 余文， 乔俊飞 - 自动化学报, 2023 - aas.net.cn
针对全球城市固废(Municipal solid waste, MSW) 的高增长率导致城市环境持续恶化以至于“
垃圾围城” 现象日益增多等问题, MSW 焚烧(MSW incineration, MSWI) 技术能够通过发酵, 燃烧 …
垃圾围城” 现象日益增多等问题, MSW 焚烧(MSW incineration, MSWI) 技术能够通过发酵, 燃烧 …
基于宽度混合森林回归的城市固废焚烧过程二噁英排放软测量
夏恒， 汤健， 崔璨麟， 乔俊飞 - 自动化学报, 2023 - aas.net.cn
二噁英是城市固废焚烧过程排放的痕量有机污染物. 受限于相关技术的复杂度和高成本,
二噁英排放浓度检测的大时滞已成为制约城市固废焚烧过程优化控制的关键因素之一 …
二噁英排放浓度检测的大时滞已成为制约城市固废焚烧过程优化控制的关键因素之一 …