Princeton University

In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.
JD Supra

Supply Chain Optimization in Hydrocarbons with AI and Analytics

Integrating advanced analytics and AI is proving transformative as the energy sector grapples with challenges in efficiency, environmental responsibility, and resilience. Technology’s ability to ...
News Medical

Novel algorithm inspired by particle behavior enhances medical imaging

Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and obscure fine anatomical details in the images. For clinicians who depend on ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Scientific Research Publishing

Xu, Y., Hu, C., Wu, Q., Jian, S., Li, Z., Chen, Y. et al. (2022). Research on Particle Swarm Optimization in LSTM Neural Networks for Rainfall-Runoff Simulation. Journal of ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...
IEEE

Network intrusion detection analysis with neural network and particle swarm optimization algorithm

Abstract: Because the network intrusion behaviors are characterized with uncertainty, complexity and diversity, an intrusion detection method based on neural network and particle swarm optimization ...
IEEE

A neural network learning algorithm based on hybrid particle swarm optimization

Abstract: A hybrid learning algorithm based on simplex method and particle swarm optimization is proposed to train the feedforward neural network in this paper. In the given hybrid algorithm the ...