Xiaoli Li
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Research on the Optimized Design of Medium and Deep Ground-Source Heat Pump Systems Considering End-Load Variation Open
Ground-source heat pump (GSHP) systems with medium-depth and deeply buried pipes in cold regions are highly important for addressing global climate change and the energy crisis because of their efficient, clean, and sustainable energy char…
Social Exclusion and Short Video Addiction: The Mediating Role of Boredom and Self-Control Open
Theoretically, this study modified the I-PACE model, indicating that personal and distant social factors should be considered in individuals with behavioral addictions, such as short video addiction. Practically, the results suggested that…
Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition Open
Efficient flotation beneficiation heavily relies on accurate flotation condition recognition based on monitored froth video. However, the recognition accuracy is hindered by limitations of extracting temporal features from froth videos and…
View article: Self-evolving Autoencoder Embedded Q-Network
Self-evolving Autoencoder Embedded Q-Network Open
In the realm of sequential decision-making tasks, the exploration capability of a reinforcement learning (RL) agent is paramount for achieving high rewards through interactions with the environment. To enhance this crucial ability, we prop…
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering Open
A novel online clustering algorithm is presented where an Evolving Restricted Boltzmann Machine (ERBM) is embedded with a Kohonen Network called ERBM-KNet. The proposed ERBM-KNet efficiently handles streaming data in a single-pass mode usi…
Social exclusion and short video addiction in Chinese college students: The mediating role of boredom and self-control Open
Background Short video apps are very popular among Chinese college students, and some students even rely on them. Most of the current research only focuses on Internet addiction, and seldom pays attention to the phenomenon of short video a…
A Dynamic Hysteresis Model of Piezoelectric Ceramic Actuators Open
A modified Prandtl-Ishlinskii (PI) model with rate-dependent thresholds for describing the hysteresis characteristics of piezoelectric actuators is proposed. Based on the classical PI model, a novel threshold depending on the input rate is…
Dynamic Modeling of Flue Gas Desulfurization Process via Bivariate EMD-Based Temporal Convolutional Network Open
Sulfur dioxide (SO2) can cause detrimental impacts on the ecosystem. It is well known that coal-fired power plants play a dominant role in SO2 emissions, and consequently industrial flue gas desulfurization (IFGD) systems are widely used i…
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning Open
This paper presents a novel RL algorithm, S-REINFORCE, which is designed to generate interpretable policies for dynamic decision-making tasks. The proposed algorithm leverages two types of function approximators, namely Neural Network (NN)…
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection Open
Open Information Extraction (OIE) aims to extract factual relational tuples from open-domain sentences. Downstream tasks use the extracted OIE tuples as facts, without examining the certainty of these facts. However, uncertainty/speculatio…
Identification of Stopping Points in GPS Trajectories by Two-Step Clustering Based on DPCC with Temporal and Entropy Constraints Open
The widespread adoption of intelligent devices has led to the generation of vast amounts of Global Positioning System (GPS) trajectory data. One of the significant challenges in this domain is to accurately identify stopping points from GP…
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts Open
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Open
Video analysis tasks such as action recognition have received increasing research interest with growing applications in fields such as smart healthcare, thanks to the introduction of large-scale datasets and deep learning-based representat…
Prediction of Outlet Pressure for the Sulfur Dioxide Blower Based on Conv1D-BiGRU Model and Genetic Algorithm Open
The sulfur dioxide blower is a centrifugal blower that transports various gases in the process of acid production with flue gas. Accurate prediction of the outlet pressure of the sulfur dioxide blower is quite significant for the process o…
Robust control of pantograph‐catenary system: Comparison of 1‐DOF‐based and 2‐DOF‐based control systems Open
Compared to control bandwidth, low‐frequency uncertainties or disturbances like step signals can be well rejected by many methods having two‐degree‐of‐freedom (2‐DOF). Due to robustness constraint, technically more challenging is the rejec…
Toward Deep Adaptive Hinging Hyperplanes Open
The adaptive hinging hyperplane (AHH) model is a popular piecewise linear representation with a generalized tree structure and has been successfully applied in dynamic system identification. In this article, we aim to construct the deep AH…
Atmospheric PM2.5 Prediction Based on Multiple Model Adaptive Unscented Kalman Filter Open
The PM2.5 concentration model is the key to predict PM2.5 concentration. During the prediction of atmospheric PM2.5 concentration based on prediction model, the prediction model of PM2.5 concentration cannot be usually accurately described…
Atmospheric PM<sub>2.5</sub> concentration prediction and noise estimation based on adaptive unscented Kalman filtering Open
Due to the randomness and uncertainty in the atmospheric environment, and accompanied by a variety of unknown noise. Accurate prediction of PM 2.5 concentration is very important for people to prevent injury effectively. In order to predic…
Multi-Span and Multiple Relevant Time Series Prediction Based on Neighborhood Rough Set Open
Rough set theory has been widely researched for time series prediction problems such as rainfall runoff. Accurate forecasting of rainfall runoff is a long standing but still mostly significant problem for water resource planning and manage…
Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization Open
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Multimodel Anomaly Identification and Control in Wet Limestone-Gypsum Flue Gas Desulphurization System Open
Sulphur dioxide, as one of the most common air pollutant gases, brings considerable numbers of hazards on human health and environment. For the purpose of reducing the detrimental effect it brings, it is of urgent necessity to control emis…