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

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