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 ...
IEEE

A Novel Method for Multi-Targets ISAR Imaging Based on Particle Swarm Optimization and Modified CLEAN Technique

Abstract: In multi-targets inverse synthetic aperture radar (ISAR) imaging, range profiles of different target are coupled together, resulting in the failure of traditional mono-target imaging method.
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.
GitHub

AI-Based Smart Grid Power Theft Detection System

Electricity theft and abnormal power consumption are major challenges in modern power distribution networks. Utilities lose significant revenue every year due to unauthorized electricity usage and ...