- Metal Extraction and Bioleaching
- Minerals Flotation and Separation Techniques
- Welding Techniques and Residual Stresses
- Power Line Inspection Robots
- Advanced Measurement and Detection Methods
- Advanced Welding Techniques Analysis
- Brain Tumor Detection and Classification
- Iron and Steelmaking Processes
- Intermetallics and Advanced Alloy Properties
- Aluminum Alloy Microstructure Properties
- Advanced Algorithms and Applications
- Extraction and Separation Processes
- Customer churn and segmentation
- Robotics and Sensor-Based Localization
- Customer Service Quality and Loyalty
- Robotic Path Planning Algorithms
- Hydrogen embrittlement and corrosion behaviors in metals
- Digital Holography and Microscopy
- Advanced X-ray Imaging Techniques
- Titanium Alloys Microstructure and Properties
- Additive Manufacturing Materials and Processes
- Power Systems Fault Detection
- 3D Shape Modeling and Analysis
- Robotic Locomotion and Control
- Ultrasonics and Acoustic Wave Propagation
Florida International University
2025
Shanghai Electric (China)
2024
Tsinghua University
2014-2023
Lanzhou University of Technology
2023
China Construction Eighth Engineering Division (China)
2023
Aluminum Corporation of China (China)
2022
Shandong University of Science and Technology
2022
Kunming University of Science and Technology
2004-2021
Wuhan University of Technology
2021
University of Ottawa
2021
Traditional movie gross predictions are based on numerical and categorical data from The Internet Movie Database (IMDB). In this paper, we use the quantitative news generated by Lydia, our system for large-scale analysis, to help people predict grosses. By analyzing two different models (regression k-nearest neighbor models), find using only can achieve similar performance those IMDB data. Moreover, better combination of Further, improvement is statistically significant.
Fine-tuning helps large language models (LLM) recover degraded information and enhance task performance.Although Low-Rank Adaptation (LoRA) is widely used effective for fine-tuning, we have observed that its scaling factor can limit or even reduce performance as the rank size increases. To address this issue, propose RoRA (Rank-adaptive Reliability Optimization), a simple yet method optimizing LoRA's factor. By replacing $\alpha/r$ with $\alpha/\sqrt{r}$, ensures improved Moreover, enhances...
With the increasing application of unmanned aerial vehicles (UAVs) to inspection high-voltage overhead transmission lines, study safety distance between drones and wires has received extensive attention. The determination UAV line is great significance improve reliability operation ensure safe stable power grid equipment. Since there no quantitative data support for lines in patrol, it impossible provide accurate navigation information obstacle avoidance. This paper proposes a mathematical...
The characteristics of Huimin siderite ore with high content phosphorus and the reduction this bearing pulverized coal sodium carbonate were investigated. study focuses on influence Na2CO3 dosage carbothermic process. Iron particle size in reduced is tiny fayalite abundant without additive. With ratio to at 1:20 or 1:10, iron coarse diffraction intensity metallic increases obviously XRD pattern. can be catalyzed by adding an appropriate amount Na2CO3. catalyzing activity may caused increase...
The influence of electrode positive/electrode negative (EP/EN) ratio on cold metal transfer advance-based wire arc additive manufacturing (WAAM) process for Al–Zn–Mg–Cu alloy was studied in this paper. stability investigated via analysing electrical waveforms and arc/metal images concurrently. A high EP/EN (≥ 13:7) beneficial to decrease abnormal long wait phase duration current spatter droplet, which improved the WAAM process. forming accuracies samples increased first then decreased with...
A stochastic formulation is introduced to study the large amplitude and high-frequency components of residual accelerations found in a typical microgravity environment (or g-jitter). The linear response fluid surface such discussed detail. analysis stability free can be reduced underdamped limit studying equation parametric harmonic oscillator for each Fourier displacement. narrow-band noise describe realistic spectrum accelerations, that interpolates between white monochromatic noise....
In the present work, volatile organic compounds (VOCs) from vehicle exhaust and cooking fumes were investigated via simulation experiments, which covered engine emissions produced during gasoline direct injection (GDI) using two kinds of fuels by preparing three domestic dishes. The distinct characteristics VOCs emitted processes identified. Alkanes (73% mass fraction on average) aromatics (15% dominated VOCs, while oxygenated (49%) alkanes (29%) VOCs. Isopentane (22%) was most abundant...
Robotic welding often uses vision-based measurement to find the correct placement of seam. Traditional machine vision methods work well in many cases but lack robustness when faced with variations manufacturing process or imaging conditions. While supervised deep neural networks have been successful increasing accuracy and real-world applications, their success relies on labeled data. In this paper, we employ semi-supervised learning simultaneously increase while avoiding expensive...
The Chinese government attempts to coordinate the spatial planning of various departments through multiple-plan coordination achieve more efficient land use and promote orderly urban development. Based on Bryson's cross-sector collaboration theory, this study establishes a framework, which consists seven parts: system context, drivers, structure, processes, endemic conflicts constraints, accountabilities outcomes, impacts. With Xiamen as case study, implementation process Xiamen's is...
The tracking and positioning of transmission lines is a key element for UAVs (Unmanned Aerial Vehicles) to achieve autonomous inspection lines. Current methods are vulnerable weather environmental factors, have high costs, difficulties in data processing. Therefore, this paper proposes line localization method based on the electric field sensor array, which calculates current UAV's heading angle deflection angle, distance between UAV, elevation providing new idea solve problem UAV At same...
In research findings, co-deletion of the 1p/19q gene is associated with clinical outcomes in low-grade gliomas. The ability to predict 1p19q status critical for treatment planning and patient follow-up. This study aims utilize a specially MRI-based convolutional neural network brain cancer detection. Although public networks such as RestNet AlexNet can effectively diagnose cancers using transfer learning, model includes quite few weights that have nothing do medical images. As result,...
A self-organizing map (SOM) is a type of competitive artificial neural network, which projects the high-dimensional input space training samples into low-dimensional with topology relations preserved. This makes SOMs supportive organizing and visualizing complex data sets have been pervasively used among numerous disciplines different applications. Notwithstanding its wide applications, perplexed by inherent randomness, produces dissimilar SOM patterns even when being trained on identical...
In view of the fact that UAV patrol overhead transmission line cannot accurately locate UAV, relative position field source be judged, and problem autonomous navigation obstacle avoidance realized. A based on electric information array detection is proposed. Source location algorithm. Firstly, principle electrostatic induction, portable power frequency sensor plate designed. The four plates are installed same horizontal surface drone with coordinate center unmanned aerial vehicle as fixed...