A5101529616- Toxic Organic Pollutants Impact
- Groundwater flow and contamination studies
- Heavy metals in environment
- Air Quality and Health Impacts
- Model Reduction and Neural Networks
- Simulation Techniques and Applications
- Business Process Modeling and Analysis
- Effects and risks of endocrine disrupting chemicals
- Environmental Justice and Health Disparities
- Pharmaceutical and Antibiotic Environmental Impacts
- Reservoir Engineering and Simulation Methods
- Arsenic contamination and mitigation
- Atmospheric chemistry and aerosols
- Seismic Imaging and Inversion Techniques
- Antibiotic Resistance in Bacteria
- Direction-of-Arrival Estimation Techniques
- Advanced Adaptive Filtering Techniques
- Electrokinetic Soil Remediation Techniques
- E-commerce and Technology Innovations
- Antibiotic Use and Resistance
- Environmental remediation with nanomaterials
- Radar Systems and Signal Processing
- Advanced Antenna and Metasurface Technologies
- Generative Adversarial Networks and Image Synthesis
- Microplastics and Plastic Pollution
Delft University of Technology
2024-2025
East China Normal University
2020-2024
Peking University
2021-2023
Ministry of Natural Resources
2023
Shandong University
2021
Nanjing University of Science and Technology
2020
Xi'an Jiaotong University
2019
Beijing Institute of Technology
2017
University of Georgia
2008
Intelligent algorithm acts as one of the most important solutions to path planning problem. In order solve problems poor real-time and low accuracy heuristic optimization in 3D planning, this paper proposes a novel intelligent derived from Beetle Antennae Search (BAS) algorithm. The proposed has advantages wide search range high accuracy, can still maintain time complexity when multiple mechanisms are introduced. This combines BAS with three non-trivial efficiency convergence planning....
Extracting concepts and understanding relationships from videos is essential in Video-Based Design (VBD), where serve as a primary medium for exploration but require significant effort managing meta-information. Mind maps, with their ability to visually organize complex data, offer promising approach structuring analysing video content. Recent advancements Large Language Models (LLMs) provide new opportunities meta-information processing visual VBD, yet application remains underexplored....
Abstract As an important and fundamental national resource, government data resources are of strategic importance in promoting economic growth social development. This paper discusses the utilisation model open order to build analysis framework for ecosystem. Starting from government-led internal management model, traffic accident is selected, a prediction based on scale-reduced attention mechanism graph convolutional network proposed by using deep learning algorithms. Then research usage,...
Identification of the location and strength a contaminant source in an aquifer is challenging but crucial task. Efficient surrogate models can be constructed to replace traditional time-consuming simulators while solving this inverse problem. In recent years, with rapid development machine learning (ML) algorithms, artificial neural network (ANN) has been proven efficient way for modeling. However, it may difficult ANN-based algorithms learn convection-dispersion equation predict...
The uncertainty quantification (UQ) of subsurface two-phase flow usually requires numerous executions forward simulations under varying conditions. In this work, a novel coupled theory-guided neural network (TgNN) based surrogate model is built to facilitate computation efficiency the premise satisfactory accuracy. core notion proposed method bridge two separate blocks on top an overall network. They underlie TgNN in form, which reflects coupling nature pressure and water saturation...
Abstract In recent years, ultrasonic Lamb waves have been widely applied to the field of non-destructive testing plate-like structures as they outstanding advantages, such low attenuation, high sensitivity, and wide detection range. Current studies about defect-detection using mostly focus on non-weld structures, methods are based baseline data. This paper proposes a novel baseline-free damage inspection method welded which is principle reciprocity loss combines OPTICS K-means intelligent...
Abstract. Polychlorinated biphenyls (PCBs) are nowadays mainly unintentionally produced, since their use and manufacture has been banned. PCBs, especially those dioxin-like compounds, have proven harmful to ecosystems human health. Detailed information about the spatiotemporally distribution of produced PCBs (UP-PCBs) is crucial for understanding environmental fate associated health risks. However, research estimating UP-PCBs emission in China limited. In this study, a source-specific...
A drogue is used to stabilise and straighten seismic arrays so that waves can be well-received. To embed the effect of a cone-shaped into numerical modelling deep-towed survey system, one surrogate model maps relationship between hydrodynamic characteristics towing conditions was obtained based on data-driven simulations. The sample data were by co-simulation commercial software RecurDyn Particleworks, parameters verified physical experiments. According Morison formula, rotational angle,...
We recently introduced SASSY, the design for a hybrid simulator that provides an agent-based API atop PDES kernel (Hybinette et al. 2006). Our hypothesis is like SASSY offers advantages of paradigm application developer, but also performance kernel. Since time our initial publication, most aspects SASSY?s have been implemented, and we are now assessing hypotheses e.g., (He Hybinette 2008). In this paper investigate simple on SASSY. cases, simulation environments configured using time-step...
We recently introduced SASSY, the design for a hybrid simulator that provides an agent-based API atop PDES kernel (Hybinette et al. 2006). Our hypothesis is like SASSY offers advantages of paradigm application developer, but also performance kernel. Since time our initial publication, most aspects SASSY's have been implemented, and we are now assessing hypotheses e.g., (He Hybinette 2008). In this paper investigate simple on SASSY. cases, simulation environments configured using time-step...
An important issue for agent-based simulation architectures concerns the means by which agents can be kept up to date regarding position and state of other objects in their local environment. We implement two distributed publish-subscribe approaches assess performance within our SASSY architecture. One implementation supports direct agent-to-agent communication, while all messages pass through an intermediate LP. In both cases system does not maintain global state, but facilitates...
Video-Based Design (VBD) is a design methodology that utilizes video as primary tool for understanding user interactions, prototyping, and conducting research to enhance the process. Artificial Intelligence (AI) can be instrumental in video-based by analyzing interpreting visual data from videos interaction, automate processes, improve product functionality. In this study, we explore how AI professional with State-of-the-Art (SOTA) deep learning model. We developed prototype annotation...
Open hardware and the need for ecologically valid measurements drive Electroencephalography (EEG) democratization movement—EEG has been steadily transcending boundaries of clinical research, making its way into interdisciplinary fields. In Human-Computer Interaction (HCI), EEG is used to measure cognitive workload infer processes building cognition-aware systems. We describe evaluate our BCIglass prototype where electrodes are embedded in frame a mainstream Head-Mounted Display (HMD) create...