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A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

Abstract: This paper contains the study of modulation identification for both analog and digital signals using convolution neural network. Modulation classification involves identifying the modulation ...

Anthony Bussing (he/him) is a Gaming Features Writer from Michigan. Anthony has a Bachelor of Arts degree in English, with a minor in Journalism, achieved in 2022, from Adrian College, specifically to ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...