This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

QTS2D is a Python library for encoding time series data into image representations using quantum computing principles. These image-based representations can then be used as input for various machine ...

This important work advances our understanding of the role of kisspeptin neurons in regulating the luteinizing hormone (LH) surge in females. The evidence demonstrating increased neuronal activity in ...

Abstract: The existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process.

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

dahuffman is a pure Python module for Huffman encoding and decoding, commonly used for lossless data compression. The name of the module refers to the full name of the inventor of the Huffman code ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages developers still use daily, and what they’re good for.