Frontiers

A data-driven approach for missing well-log prediction using KNN regression

In petroleum geophysics, well logs are fundamental for subsurface characterization; however, missing logs frequently occur due to tool failure, legacy data gaps, or economic constraints, limiting ...
GitHub

Fundamentals of Active Inference — Python Companion

Open-source Python code that follows along with Sanjeev V. Namjoshi's Fundamentals of Active Inference (MIT Press, 2026). The book itself is not open source; this repository provides a clean, ...
GitHub

Deep Demand Forecasting with Amazon SageMaker

How to Prepare Your Data to Feed into the Model? We have provided example of how to feed your time-series data with GluonTS in the notebook. To convert CSV data or other formats to GluonTS format, ...
C&EN

Fusion of Generative AI Techniques and Machine Learning Models to Generate and Investigate Biosignals for Glucose Sensors

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
C&EN

RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis

Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom Department of Materials, Department of Bioengineering & ...
Frontiers

Data pipeline for real-time energy consumption data management and prediction

With the increasing utilization of data in various industries and applications, constructing an efficient data pipeline has become crucial. In this study, we propose a machine learning ...