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

Sophelio, an award-winning applied AI and machine-learning company, has just announced the launch of the Data Fusion Labeler (dFL) , a platform designed to harmonize, label, and prepare complex ...
Communications of the ACM

Algorithmic Autonomy in Data-Driven AI

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
IEEE

Research on Preprocessing Methods for Aggregate Queries in Data Sharing

Abstract: This work presents an in-depth investigation into the preprocessing methods for aggregate queries in data sharing, with a focus on enhancing privacy preservation and efficiency within big ...
EDN

Designing edge AI for industrial applications

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
GitHub

Final Assessment Project for Data Processing Techniques: Preprocessing, Real-time Streaming, Incremental Updates, and In-Memory Analytics.

All tasks use Python along with tools like Apache Spark, Apache Kafka, and in-memory processing techniques to demonstrate efficient data handling, streaming, and analytics. Clean and preprocess IoT ...
Scientific Research Publishing

On Prediction of Stock Return and Volatility Using Clustering Techniques: Taking an Example of Japanese Stock Market ()

Graduate School of Economics, The University of Osaka, Osaka, Japan. Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock ...
IEEE

A survey of preprocessing techniques for flow cytometry data in classification tasks

Abstract: Flow cytometry is an advanced technique for analyzing cellular heterogeneity in biomedical research and clinical diagnostics. Its ability to generate multiparametric data has facilitated ...
GitHub

Siphokazi599/Data_Preprocessing_Techniques_Lab4

Contribute to Siphokazi599/Data_Preprocessing_Techniques_Lab4 development by creating an account on GitHub.
Scientific Research Publishing

Razavi, M., Ziyadidegan, S., Jahromi, R., et al. (2023) Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress ...

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...