Abstract: Bearing fault diagnosis is of great significance to ensure the safe operation of mechanical equipment. This paper proposes an intelligent fault diagnosis method of rolling bearings based on ...

Abstract: Parkinson's disease is a common mental disease in the world, especially in the middle-aged and elderly groups. Today, clinical diagnosis is the main diagnostic method of Parkinson's disease, ...

This repo contains the source code and reproducing guide of ZO-LLM. This research endeavor is designed to help researchers better understand the capabilities, limitations and principles associated ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Paperium is a sophisticated quantitative trading system for the Indonesia Stock Exchange (IHSG). It implements state-of-the-art Deep Learning (LSTM) trained on raw OHLCV sequences, guided by Triple ...

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Bayesian optimization (BO) provides a principled method for hyperparameter tuning in machine learning and deep learning. By modelling the nonlinear relationship between parameters and performance ...

2.5 Formal optimization and ideal point method formulation For each fixed combination of soft-soil stiffness, embankment height, pile-cap width, and embankment friction angle, the active decision ...