A review: Data pre-processing and data augmentation techniques
Jun 1, 2022 · Steps to follow to do data analysis with its best approach. As raw data are vulnerable to noise, corruption, missing, and inconsistent data, it is necessary to perform pre-processing steps, …
Advances in artificial intelligence for structural health monitoring: A ...
Mar 1, 2025 · Artificial intelligence (AI) has recently emerged as a powerful tool for structural health monitoring (SHM) that considerably improves accuracy, robustness, and operational efficiency. Early …
Enhancing structural health monitoring with AI-ML algorithms
Apr 4, 2025 · This methodology has resulted in a significant enhancement of the prediction accuracy, which states the importance of AI-ML integration in SHM. The key results demonstrate the …
The State of the Art of Data Science and Engineering in Structural ...
Apr 2, 2019 · Structural health monitoring (SHM) is a multi-discipline field that involves the automatic sensing of structural loads and response by means of a large number of sensors and instruments, …
Data collection, wrangling, and pre-processing for AI assurance
Abstract Data collection, wrangling, and pre-processing are critical steps within any AI/ML model development lifecycle. These steps precede every model building activity culminating in feature …
Data preprocessing for ML: options and recommendations
Sep 6, 2024 · This document is the first in a two-part series that explores the topic of data engineering and feature engineering for machine learning (ML), with a focus on supervised learning tasks. This …
Data Preprocessing in Machine Learning: Steps & Best Practices - lakeFS
Mar 19, 2024 · Learn more about data preprocessing in machine learning and follow key steps and best practices for improving data quality.
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DeepPrep: an accelerated, scalable and robust pipeline for ... - Nature
Feb 6, 2025 · DeepPrep is a preprocessing pipeline for functional and structural MRI data from humans. Deep learning-based modules and an efficient workflow allow DeepPrep to handle large datasets.
What is Data Cleaning? - GeeksforGeeks
Feb 7, 2026 · Data cleaning is the process of preparing raw data by detecting and correcting errors so it can be effectively used for analysis. It is a foundational step in data preprocessing that ensures …
An innovative data collection method to eliminate the preprocessing ...
Apr 1, 2023 · A data collection method that works at the application level has been presented in this study to generate a homogeneous data infrastructure suitable for analyzing the behaviors exhibited …