Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...
IEEE

Optimized Data Fusion for Kernel k-Means Clustering

Abstract: This paper presents a novel optimized kernel k-means algorithm (OKKC) to combine multiple data sources for clustering analysis. The algorithm uses an alternating minimization framework to ...
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
GitHub

Magnetic Separation using 8 Threshold Methods

This repository contains the complete MATLAB implementation of the methodology described in: Badpa, M., Moradzadeh, A., Norouzi, G., & Roshandel Kahoo, A. (2026). Fully Automated Magnetic Anomaly ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Frontiers

Smart route: an integrated path optimization algorithm for mitigating traffic congestion and air pollution in urban environments

Yu et al. 2019 ) examined traffic congestion using the K -means clustering algorithm. Using fuzzy clustering approaches, researchers addressed traffic congestion with the C -means clustering method in ...
GitHub

ai-agriculture-circuits-and-systems/ai_agriculture_news

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...