Scientific Research Publishing

Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience ()

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
GitHub

Differing GPU memory usage between iterator & dask approaches

I am comparing two methods, dask-based and the Rabit-based distributed (internal-memory) iterator approach (both in this case with single GPU). One thing I notice is that for the same data shape (130k ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
C&EN

Machine Learning Study of PFAS Intermediate Adsorption on Transition Metals: Scaling Relationships for Environmental Catalyst Design

School of Chemical Sciences, University of Auckland, Auckland 1010, New Zealand Department of Chemical and Materials Engineering, University of Auckland, Auckland 1142, New Zealand ...
C&EN

Machine Learning-Based Excited-State Reactive Force Field: A New Approach for Modeling the Photodissociation Dynamics of 2-Fluorothiophenol

Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130023, China ...
IEEE

Optimizing TAN Monitoring in Various Anaerobic Digestion Systems: A Machine Learning Approach with XGBoost and AdaBoost

Abstract: Controlling Total Ammonia Nitrogen (TAN) concentrations is critical for ensuring stabilization in anaerobic digestion (AD) systems. This study investigates the performance of the XGBoost and ...
Frontiers

PiCCO hemodynamic parameters in cardiogenic shock: prediction of LVEF, NT-proBNP and MACE based on XGBoost machine learning model

Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China Introduction: This study used the Extreme Gradient Boosting (XGBoost) machine learning model to ...
GitHub

xgboost-machine-learning

FinergyCloud - Pioneering AI-driven renewable energy investment platform featuring 94% accurate predictive models, real-time ESG assessment, and global multi-currency support. Professional showcase of ...
IEEE

Modeling and Forecasting Stock Prices Using LSTM and XGBoost: A Comparative Machine Learning Perspective

Abstract: Because financial markets are so volatile, forecasting stock prices is a difficult and everevolving process. Because of advancements in machine learning and deep learning, researchers are ...
Forbes

When Classrooms Get Hot: The Hidden Link Between The Environment, Health, And Learning

Forbes contributors publish independent expert analyses and insights. I cover global and domestic health care and conservation. I've spent much of my life thinking about how to help people reach their ...