This project demonstrates how to fetch real Near-Earth Object (NEO) data from NASA’s API, preprocess it, and train machine learning models (Random Forest, Gradient Boosting, etc.) to predict asteroid ...
Abstract: Supercapacitors are considered key components in many industrial and technological applications, due to their high ability to store energy and rapid charging and discharging. In this study, ...
"Our quantum error-correcting code has a greater than 1/2 code rate, targeting hundreds of thousands of logical qubits," explains Kasai. "Moreover, its decoding complexity is proportional to the ...
“Our quantum error-correcting code has a greater than 1/2 code rate, targeting hundreds of thousands of logical qubits,” explains Kasai. “Moreover, its decoding complexity is proportional to the ...
Abstract: The Bayes Error Rate (BER) is the fundamental limit on the achievable generalizable classification accuracy of any machine learning model due to inherent ...
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