A meta-ensemble machine learning strategy to assess groundwater holistic vulnerability in coastal aquifers
F Jafarzadeh, AA Moghaddam, S Razzagh… - Groundwater for …, 2024 - Elsevier
Assessing the vulnerability of groundwater in coastal aquifers is crucial for mitigating risks
associated with seawater intrusion and anthropogenic impacts. This study introduces an …
associated with seawater intrusion and anthropogenic impacts. This study introduces an …
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 …
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 …
An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process
Artificial intelligence (AI) has found widespread application across diverse domains,
including residential life and product manufacturing. Municipal solid waste incineration …
including residential life and product manufacturing. Municipal solid waste incineration …
AI-based tree modeling for multi-point dioxin concentrations in municipal solid waste incineration
Numerous investigations have shown that the municipal solid waste incineration (MSWI) has
become one of the major sources of dioxin (DXN) emissions. Currently, the primary issue …
become one of the major sources of dioxin (DXN) emissions. Currently, the primary issue …
Bearing Rigidity-Based Flocking Control of AUVs via Semi-Supervised Incremental Broad Learning
Flocking control of autonomous underwater vehicles (AUVs) has been regarded as the basis
of many sophisticated marine coordination missions. However, there is still a research gap …
of many sophisticated marine coordination missions. However, there is still a research gap …
Broad recommender system: An efficient nonlinear collaborative filtering approach
Recently, Deep Neural Networks (DNNs) have been largely utilized in Collaborative
Filtering (CF) to produce more accurate recommendation results due to their ability of …
Filtering (CF) to produce more accurate recommendation results due to their ability of …
BLSF: Adaptive Learning for Small-Sample Medical Data with Broad Learning System Forest Integration
The Broad Learning System Forest (BLSF) model proved to be the preeminent classifier
across all assessed datasets, demonstrating outstanding performance and efficiency. In the …
across all assessed datasets, demonstrating outstanding performance and efficiency. In the …
Enhanced Word-unit Broad Learning System with Sememes
High accuracy in text classification can be achieved by simultaneously learning multiple
sources of information, such as sequence and word. In this study, we propose a novel …
sources of information, such as sequence and word. In this study, we propose a novel …
Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system
J Qiu, Y Shen, Z Gu, Z Wang, W Li, Z Tao… - IET Energy Systems …, 2024 - Wiley Online Library
The inherent randomness and intermittent nature of wind speed fluctuations pose significant
challenges in accurately predicting future wind speeds. To address this complexity, a wind …
challenges in accurately predicting future wind speeds. To address this complexity, a wind …