The final, formatted version of the article will be published soon. Accurate prediction of antibody paratopes is a critical challenge in structure-limited, high-throughput discovery workflows. We ...

Rep. Marjorie Taylor Greene, R-Ga., on Monday called for Congress to make English the official language of the United States in response to comments made by Bad Bunny, who urged Americans to learn ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Abstract: The quality prediction of production in rubber manufacturing is crucial to ensure product quality and improve production efficiency. However, the strong coupling of process parameters and ...

1 Hunan Provincial Key Laboratory of Finance and Economics Big Data Science and Technology, Hunan University of Finance and Economics, Changsha, China 2 College of Information Science and Engineering, ...

Japanese carrier All Nippon Airways has implemented a turbulence-prediction service based on artificial intelligence, following several years of testing and validation. ANA and Keio University formed ...

Objective: The aim of the present study proposed a deep learning framework for different influenza epidemic states based on Baidu index and the influenza-like-illness rate (ILI%). Methods: Official ...

Abstract: This study presents an end-to-end deep learning framework for protein–to-metal-ion binding prediction, a critical task in understanding protein function, structural stability, and metal ...

"Implementations of deep learning concepts from Deep Learning with Python (Second Edition) by François Chollet. Includes hands-on examples, code exercises, and practical applications using TensorFlow ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...