IEEE

A Brief Survey of Data Preprocessing in Machine Learning and Deep Learning Techniques

Abstract: Internet of Things (IoT) generates vast amounts of sensor data across various scientific and engineering domains. This raw data is often flawed and unsuitable for analysis due to noise, ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
IEEE

Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching

Abstract: Uplift modeling is a widely recognized predictive approach used to identify individuals who are more likely to respond positively to an intervention or treatment, such as a marketing ...
marktechpost

How to Build an Elastic Vector Database with Consistent Hashing, Sharding, and Live Ring Visualization for RAG Systems

In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement consistent hashing with virtual ...
GitHub

HerbieNG: Download Weather Forecast Model Data in Python

HerbieNG is a fork of the Herbie Python package that makes downloading and working with numerical weather prediction (NWP) model data simple and fast. Whether you're a researcher, meteorologist, data ...
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 data preprocessing. If you’ve ever built a predictive model, worked on a ...