Machine Learning Diffuse Optical Tomography Using Extreme Gradient Boosting and Genetic Programming. [PDF]
Hauptman A, Balasubramaniam GM, Arnon S.
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Real-time monitoring of in-hospital mortality risk in intensive care units heart failure patients using an extreme gradient boosting model. [PDF]
Xiong YJ +7 more
europepmc +1 more source
Extreme Gradient Boosting to Predict Atomic Layer Deposition for Platinum Nano-Film Coating. [PDF]
Yoon SH +6 more
europepmc +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction. [PDF]
Naik A, Tejani GG, Mousavirad SJ.
europepmc +1 more source
Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm. [PDF]
Feng M, Duan Y, Wang X, Zhang J, Ma L.
europepmc +1 more source
A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries
A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao +9 more
wiley +1 more source
Sequential EXtreme Gradient Boosting-Based Descriptor Reduction for Size Prediction of Zwitterionic Polymer-Based Nanoparticles. [PDF]
Rezvantalab S +3 more
europepmc +1 more source
Extreme Gradient Boosting Tuned with Metaheuristic Algorithms for Predicting Myeloid NGS Onco-Somatic Variant Pathogenicity. [PDF]
Pellegrino E +7 more
europepmc +1 more source

