- ๐ Hi, Iโm @J-i-n-p-u
- ๐ Iโm interested in the application of data-driven methods in Architecture Engineering and Construction (AEC) industry!
- โจ My key words: AEC, Computer Vision, Data Analysis, Sustainability, Life Cycle Assessment
- ๐ซ Welcome to my page: https://j-i-n-p-u.github.io/
-
Stanford University
- https://j-i-n-p-u.github.io/
Highlights
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Popular repositories Loading
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Battery-Lifetime-Prediction-with-Limited-Cycle-Data
Battery-Lifetime-Prediction-with-Limited-Cycle-Data PublicApplied machine-learning models, including linear regression, random forest regression, convolutional neural networks, and recurrent neural networks to make predictions on cell life.
Jupyter Notebook 9
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Long-term-Probabilistic-Forecasting-of-TBM-Operating-Parameters
Long-term-Probabilistic-Forecasting-of-TBM-Operating-Parameters PublicA Long-term Probabilistic Forecasting Approach of TBM Operating Parameters based on Deep Learning
Python 4
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Pavement-Crack-Detection-based-on-Computer-Vision
Pavement-Crack-Detection-based-on-Computer-Vision PublicAn end-to-end pavement crack detection toolkit is developed based on computer vision
Python 2
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Sustainable-Urban-System
Sustainable-Urban-System PublicThe Sustainable Urban Systems emphasis merges traditional data analytics with complex systems analysis to better inform decisions around the wicked problems of urban development like urban land useโฆ
HTML 1
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TBM-performance-prediction-and-rock-mass-grade
TBM-performance-prediction-and-rock-mass-grade PublicAn LSTM-based model for TBM performance prediction and the effect of rock mass grade on prediction accuracy
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