JD Supra

Generative AI in eDiscovery Review – Do the Right Thing and Prove It

Last month, the Sedona Conference Working Group 13 Annual Meeting and the ASU Arkfeld Conference on eDiscovery, Law, and ...

Ground Truth: The Realities of Generative AI in E-Discovery

The goal of this article is to address the most common questions practitioners are asking today about gen AI in e-discovery.
IEEE

Data-Driven Air Quality Classification: A Performance Analysis of K-Nearest Neighbors and Naive Bayes Algorithms

Abstract: This study compares the performance of K-Nearest Neighbors (KNN) and Naïve Bayes in classifying air pollution levels using a dataset from Kaggle. Traditional air quality assessment methods ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...