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Working from home
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Working from home
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tjboise/README.md

Typing SVG

  • 📖 PhD in Computing (with emphysis in Data Science) @ Boise State University.

  • 🎓 Conducting research on AI and Material Simulation.

  • 💡 Open to collaborating on projects and innovative ideas.

  • 💻 Currently working on Large Language Model, Physics-informed neural network, image segmentation

🖥️ Open-Source Projects

Researches and Projects
Repo Technologies Paper comment
PoFormer Transformer Sensors This model can be used to segment the pothole in pavement surface.
PCINet CNN CBM to predict the PCI value of road.
RNN LSTM Infrastructures LTPP Student Competiiton
ECSNet PyTorch IEEE-T-ITS
APCGAN+AttuNet PyTorch TF OpenCV IEEE-T-ITS Research
RheologyNet TF OpenCV Deepxde CCR Thesis topic
DSPS23 YOLOV5 wGAN Automation in Construction FHWA Competition
CE497/597 YOLOV5 CE497/597 Teaching material
DSPS22 YOLOV5 GAN arxiv FHWA Competition
RCCD PyTorch KSCE Benchmark study of different classiication algorithms in cracks
Damage Density Matlab Infrastructures IGEM Project
MovieAnalysis NumPy Pandas SciPy CS533 Class project

Popular repositories Loading

  1. RheologyNet RheologyNet Public

    Jupyter Notebook 5 3

  2. ECSNet ECSNet Public

    ECSNet

    Jupyter Notebook 3

  3. APCGAN-AttuNet APCGAN-AttuNet Public

    Related paper

    Jupyter Notebook 2 2

  4. CE497597 CE497597 Public

    This is a deep learning tutorial for pavement defects detection.

    Python 2 1

  5. RNN RNN Public

    use RNN to predict IRI

    Jupyter Notebook 2

  6. PoFormer PoFormer Public

    Transformer–CNN Hybrid Framework for Pavement Pothole Segmentation

    Jupyter Notebook 2