Ting Wang

Generative diffusion learning for parametric partial differential equations

Ting Wang, Petr Plecháč, Jaroslaw Knap

We develop a class of data-driven generative models that approximate the solution operator for parameter-dependent partial differential equations (PDEs). We introduce a probabilistic formulation of the operator learning problem based on denoising diffusion probabilistic models (DDPM), which enables learning the input-output mapping …

CNN-LSTM detection and short-term prediction of concrete crack severity

Jun Tang, Guolin Guo, Ting Wang, Qi Wang et autres

The development of concrete cracks will affect the durability, serviceability, and safety of civil infrastructure. This study proposes a leakage-controlled convolutional neural network long/short-term memory (LSTM) framework for static crack detection and short-term prediction of crack severity from time-ordered image sequences. The …

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Experiments of a Novel Junction Field-Effect Transistor With Dual-Controlled 3-D Gates

Nailong He, Teng Liu, Yuxiao Kun, Yi-Xiang Wang et autres

jp (code pays fourni par la source)

Recent Progress in Mechanoluminescence for Multi‐Dimensional Stress Monitoring

Xiuxia Yang, Ting Wang, Lei Zhao, Xuhui Xu

Mechanoluminescence (ML) materials with their unique stress-to-light conversion capability, have been driving the evolution of stress sensing technology from single-point detection to multi-dimensional imaging. Recent advances in material defect engineering, ion doping, and heterostructure design have significantly improved the luminosity, response kinetics, …

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M2UD: A multi-model, multi-scenario, uneven-terrain dataset for ground robot with localization and mapping evaluation

Yanpeng Jia, Shiyi Wang, Shiliang Shao, Yue Wang et autres

As one of the most widely used types of robots, ground robots play a crucial role in inspection, exploration, rescue, and other applications. In recent years, advancements in light detection and ranging (LiDAR) technology have made sensors more accurate, lightweight, and cost-effective. …

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Ferroptosis in Neurovascular Unit of Ischemic Stroke: Multidimensional Regulatory Mechanisms and Targeted Interventions

Ting Wang, Jiaqi Zeng, JingHao Zhang, Chao Yun Jiang

Ischemic stroke ranks among the leading global causes of death and disability, driven by intricate mechanisms such as neuronal injury, inflammation, and oxidative stress. Emerging as a pivotal player in ischemic stroke progression is ferroptosis-an iron-dependent form of regulated cell death. Its …

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Coupling Effects of Organic Fertilizer Substituting Chemical Fertilizer on Potato Yield, Quality and Soil Nitrogen Content in the Erhai Lake Basin of China

Xuemei Sun, Wenmei Zhang, Ting Wang, Wei Li et autres

Rational fertilization boosts crop yields and enhances nutritional value, but over-fertilization is counterproductive. Furthermore, water eutrophication caused by excessive use of nitrogen fertilizers has become a major agricultural non-point source pollution problem in the Erhai Lake Basin of China. This study took …

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Optimized Deep Learning for Reliable Atmospheric Duct Interference Prediction in Radar and Communication System

Poornima Lankani Perera, Kewen Xia, Ting Wang, Xiaoyu Chu et autres

ABSTRACT Atmospheric duct interference (ADI) significantly impacts wireless long‐distance communications, radar systems, and naval activities via anomalous signal propagation in tropospheric ducting layers. The previously used predictive methods, anchored on physical models and meteorological data, proved not to be effective in capturing …

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200Km-Sensing-Range Distributed Acoustic Sensor Link Using Enhanced Scattering Fibers

Benyuan Zhu, Yaowen Li, Paul S. Westbrook, Zhou Shi et autres

We report a record long 200.6 km distributed acoustic sensing (DAS) link without inline amplification, 28.6% improvement of sensing range has been achieved by using three segments of enhanced-scattering fibre (ESF) with progressively higher scattering enhancements.

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Energy-based Generative Models for Distributed Acoustic Sensing Event Classification in Telecom Networks

Shaobo Han, Ming-Fang Huang, Tingfeng Li, Scott Kotrla et autres

Distributed fiber-optic sensing combined with machine learning enables continuous monitoring of telecom infrastructure. We employ generative modeling for event classification, supporting semi-supervised learning, uncertainty calibration, and noise resilience. Our approach offers a scalable, data-efficient solution for real-world deployment in complex environments.

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Utilizing Distributed Acoustic Sensing with Telecom Fibers for Entomological Observations

Sarper Özharar, Yue Tian, Yangmin Ding, Zhuocheng Jiang et autres

Brood X cicadas were monitored in situ in our testbed using a DAS system connected to an outdoor telecom fiber over a 16-day period. The spectral and energy characteristics of the cicada calling signal has been measured and analysed.

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Salt-mediated modulation of the mechanical properties and photothermal response of a chitosan/hyaluronic acid hydrogel

Zhenxing Han, Ting Wang, Ruotong Ma, Mariem Elmalkig et autres

, 1253-fold that of the covalent CS/HA hydrogel. The salt effect was replicated in another two hydrogels, attesting to its generality. Hence, salt regulation proves to be an effective way to enhance the mechanical properties of hydrogels. In addition, the copper nitrate-regulated …

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