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Just under a decade ago, while juggling university assignments, part-time jobs, and social obligations, I stumbled across a ...
Abstract: The paper describes the closing of the loop for an analogue capacitive micro-accelerometer. The accelerometer is mathematical modeled, the mathematical relation being expressed both in ...
The examples in this repository are designed to help readers reproduce the models, simulations, and control strategies discussed in the book. They illustrate the transition from theoretical ...
I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...
Build-Agent-From-Scratch/ ├── main.py # 🚀 Entry point — run this! ├── src/ │ ├── __init__.py # Package marker │ ├── config.py # ⚙️ Model, prompt & settings │ ├── tools.py # 🔧 Tool functions + JSON ...
Abstract: This paper intends to create a deep-learning architecture for training models over various defective tyre images until it has achieved intelligence to distinctly classify multi-class tyre ...
Cognitive Science Department, Fujian Provincial Key Laboratory of Brain-inspired Computing, School of Information Science and Engineering, Xiamen University, Xiamen 361005, P. R. China ...