Lei Chen
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Data-Driven Framework for Dimensional Quality Control in Automotive Assembly: Integration of PCA-BP Neural Network with Traceable Deviation Source Identification Open
The intelligent transformation in the manufacturing industry poses challenges to traditional quality control methods, particularly in handling redundant data and ensuring model interpretability within high-dimensional, multivariate assembl…
Frequency-fixed grid-forming control for less-dynamic and safer renewable power systems Open
Grid-forming (GFM) control is a key technology for ensuring the safe and stable operation of renewable power systems dominated by converter-interfaced generation (CIG), including wind power, photovoltaic, and battery energy storage. In thi…
Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation Open
While reinforcement learning (RL) has proven highly effective for general reasoning in vision-language models, its application to tasks requiring in-depth understanding of information-rich images and generation of structured outputs remain…
Empowering community vitality: synergistic renovation strategies for abandoned boiler houses in urban renewal contexts Open
There are numerous abandoned boiler houses located in old communities in China’s severely cold regions. During the urban renewal process, the current renovation of boiler houses is often carried out in isolation, neglecting the unique soci…
Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner Open
Recently, inspired by OpenAI-o1/o3 and Deepseek-R1, the R1-Style method based on reinforcement learning fine-tuning has received widespread attention from the community. Previous R1-Style methods mainly focus on mathematical reasoning and …
Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting Open
Achieving carbon neutrality, a key focus of UN SDG #13, drives the exploration of wave energy, a renewable resource with the potential to generate 30,000 TWh of clean electricity annually, surpassing global demand. However, wave energy rem…
View article: The <i>“Volume Effect”</i> of Salt Solution Tracer on the Flow Field within a Single‐Strand Bare Tundish
The <i>“Volume Effect”</i> of Salt Solution Tracer on the Flow Field within a Single‐Strand Bare Tundish Open
This study investigates the transport behavior of saturated KCl solution tracer with varying dosages in a single‐strand bare tundish using a water modeling approach. Flow visualization, residence time distribution (RTD) curves, and outflow…
Method for Extracting Impact Signals in Falling Weight Deflectometer Calibration Based on Frequency Filtering and Gradient Detection Open
FWD is an important non-destructive testing instrument in the field of highways. It evaluates the pavement bearing capacity by continuously hammering the ground. However, due to noise interference, the current identification and extraction…
The Cultural Tradition Changes of the Kaiyang Festival and Xieyang Festival in Zhoushan Area: Historical Context and Modern Transformation Open
The Kaiyang and Xieyang Festivals in Zhoushan area are closely linked to local marine culture and folk beliefs, especially the Dragon God belief, and originated from marine production. Influenced by traditional sea god beliefs and fishing …
The crystal structure of 4-(bis(2-chloroethyl)amino)-2-hydroxybenzaldehyde, C<sub>11</sub>H<sub>13</sub>Cl<sub>2</sub>NO<sub>2</sub> Open
C 11 H 13 Cl 2 NO 2 , triclinic, space group P 1 ‾ $\mathrm{P}\overline{1}$ , a = 7.2061(4) Å, b = 9.5043(5) Å, c = 9.9747(6) Å, α = 70.249(2)°, β = 70.258(2)°, γ = 80.755(2)°, V = 604.34(6) Å 3 , Z = 2, R gt (F) = 0.0401, wR ref (F2) = 0.…
Test Methods for Evaluation of Silicon Interposer Manufacturing Process Open
Silicon interposer is a new-style 3D packaging, which mainly consists Through Silicon Via (TSV) technique and wafer bonding process. TSV is a way to make interconnections between chips by creating vertical wafer-to-wafer vias. Silicon inte…
Laser Beam Machining of Janus Porous Electrodes for Long‐term Electrophysiological Sensing Open
Flexible epidermal electrodes have attracted significant attention for their ability to conform to irregular surfaces, with comfortable and non‐invasive sensing performance. However, challenges remain regarding conformality, breathability,…
Roping Prediction Versus Detection: Could Prediction Be Possible? Open
Roping is a hydrocyclone failure mode that reduces separation efficiency, negatively impacting both the comminution circuit and downstream flotation processes. Therefore, detection of roping as early as possible is crucial in maintaining t…
Sustainable Material Cutting Optimization Using Deep Q-Networks: A Reinforcement Learning Approach for Resource Efficiency Open
This paper proposes an innovative approach to the Cutting Stock Problem (CSP) by integrating Graph Neural Networks (GNN) which effectively extract and process graph-structured data and Deep Reinforcement Learning (DRL) which utilizes the d…