A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
MTS-CycleGAN adapts multivariate time series data for ironmaking industry.
A new method improves the interpretability of data-driven models in ironmaking processes.
Framework detects anomalies in industrial processes using deep learning.
BLAST optimizes deep model inference by learning efficient matrix structures.
Study compares machine learning and process-based models for predicting rice blast disease.
Automated rock fragmentation assessment using deep learning and spatial statistics.
European steel industry shifts to electric arc furnaces, reducing scrap imports and increasing competition.
Capsule Networks have great potential to tackle problems in structural biology because of their attention to hierarchical relationships. This paper describes the implementation and application of a Capsule Network architecture to the classification of RAS protein family structures on GPU-based computational resources. …
The effective representation of proteins is a crucial task that directly affects the performance of many bioinformatics problems. Related proteins usually bind to similar ligands. Chemical characteristics of ligands are known to capture the functional and mechanistic properties of proteins suggesting that a ligand base…
Amino acid sequence portrays most intrinsic form of a protein and expresses primary structure of protein. The order of amino acids in a sequence enables a protein to acquire a particular stable conformation that is responsible for the functions of the protein. This relationship between a sequence and its function motiv…