Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
GitHub

AtlasMap: enabling low-cost, map-style exploration of million-cell single-cell atlases

atlasmap-sc/ ├── preprocessing/ # Python preprocessing pipeline │ ├── atlasmap_preprocess/ │ │ ├── pipeline.py # Main pipeline │ │ ├── binning/ # Quadtree binning │ │ └── io/ # Zarr & SOMA I/O ...
InfoQ

Training Data Preprocessing for Text-to-Video Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
VentureBeat

AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
Ars Technica

Elon Musk on data centers in orbit: “SpaceX will be doing this”

As artificial intelligence drives the need for vastly more computing storage and processing power, interest in space-based data centers has spiked. Although several startup companies, such as ...
ascopubs.org

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption

We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 patients treated with radiotherapy at the University of Tennessee Medical Center in Knoxville. Treatment ...
IEEE

A Self-Adaptive Data Preprocessing Pipeline for Machine Learning: An Automated and Dynamic Approach

Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
GitHub

jidhu-mohan/iot-edge-ai-pipeline

A complete end-to-end pipeline for collecting IoT sensor data and running real-time AI inference on edge devices. This project demonstrates how to build production-ready IoT systems with machine ...