IEEE

An Inductive Sensing-Based Pipeline Inspection System with Machine Learning for Defect Reconstruction

Abstract: Internal metal-loss defects are a leading cause of unplanned pipeline outages, highlighting the critical need for accurate and high-resolution in-line inspection systems. In this paper, an ...
marktechpost

[Tutorial] Building a Visual Document Retrieval Pipeline with ColPali and Late Interaction Scoring

In this tutorial, we build an end-to-end visual document retrieval pipeline using ColPali. We focus on making the setup robust by resolving common dependency conflicts and ensuring the environment ...
IEEE

A Semi-Automated ML Architectural Search for Optimal Pipeline Generation for Incipient Stator Inter-turn Fault Diagnosis of SynRM Drive

Abstract: Synchronous Reluctance Motors (SynRMs) are emerging as strong contenders to Permanent Magnet Synchronous Motors (PMSMs) in industrial and vehicular applications due to their non-magnetic ...
GitHub

jtibb15-WGU/ml-pipeline-demo

v1.0.0: https://github.com/EnderTidal/ml-pipeline-demo/releases/tag/v1.0.0 v1.0.1: https://github.com/EnderTidal/ml-pipeline-demo/releases/tag/v1.0.1 This project ...
GitHub

Flight-Delay-Prediction-Using-PySpark

This project implements a distributed machine learning pipeline to predict flight arrival delays with a Mean Absolute Error (MAE) of approximately 8 minutes. The ...
Scientific Research Publishing

Comparative Analysis of ML Models for Survival Prediction of Glioblastoma ()

1 Department of Biochemistry, Chemistry, and Geology, Minnesota State University, Mankato, Mankato, MN, USA. 2 Department of Computer Information Science, Minnesota ...
marktechpost

An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and XGBoost for Automated Data Science Workflows

In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...