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 …

Online measurement of dioxin emission in solid waste incineration using fuzzy broad learning

H Xia, J Tang, W Yu, J Qiao - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Dioxin (DXN) is a persistent organic pollutant produced from municipal solid waste
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 …

An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process

J Tang, T Wang, H Xia, C Cui - Sustainability, 2024 - mdpi.com
Artificial intelligence (AI) has found widespread application across diverse domains,
including residential life and product manufacturing. Municipal solid waste incineration …

AI-based tree modeling for multi-point dioxin concentrations in municipal solid waste incineration

H Xia, J Tang, L Aljerf, T Wang, B Gao… - Journal of Hazardous …, 2024 - Elsevier
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 …

Bearing Rigidity-Based Flocking Control of AUVs via Semi-Supervised Incremental Broad Learning

W Cao, J Yan, X Yang, C Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

Broad recommender system: An efficient nonlinear collaborative filtering approach

L Huang, CR Guan, ZW Huang, Y Gao… - … on Emerging Topics …, 2024 - ieeexplore.ieee.org
Recently, Deep Neural Networks (DNNs) have been largely utilized in Collaborative
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

DCE Saputra, K Sunat, T Ratnaningsih - IEEE Access, 2024 - ieeexplore.ieee.org
The Broad Learning System Forest (BLSF) model proved to be the preeminent classifier
across all assessed datasets, demonstrating outstanding performance and efficiency. In the …

Enhanced Word-unit Broad Learning System with Sememes

Y Jiang, J Lu, T Li, W Lv - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

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 …