Predicting outcomes of nonsurgical retreatment with artificial intelligence: A multicenter retrospective study using logistic regression, random forest, and extreme gradient boosting. [PDF]
Muskan S +7 more
europepmc +1 more source
Computer-aided Diagnosis of Polyp Classification Using Scale Invariant Features and Extreme Gradient Boosting. [PDF]
Don S.
europepmc +1 more source
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
Improving end-bearing capacity prediction of rock-socketed shafts using Gaussian-augmented optimized extreme gradient boosting models. [PDF]
Khatti J, Fissha Y, Cheepurupalli NR.
europepmc +1 more source
Machine Learning Diffuse Optical Tomography Using Extreme Gradient Boosting and Genetic Programming. [PDF]
Hauptman A, Balasubramaniam GM, Arnon S.
europepmc +1 more source
Rare‐Earth Yttrium Doping Advances High‐Performance AgSbTe2 Thermoelectrics
Y‐doped AgSbTe2 achieves band and microstructure co‐optimization, with coherent Y‐Ag2Te interfaces enhancing phonon scattering and reducing lattice thermal conductivity to 0.26 W m−1 K−1. Combined with valence‐band broadening and increased carrier concentration, this yields ZT ≈ 2 at 623 K, average ZT = 1.5, and 7.3 % conversion efficiency of a single ...
Lan Li +11 more
wiley +1 more source
Extreme gradient boosting using conventional parameters accurately predicts insulin sensitivity in young and middle-aged Japanese persons. [PDF]
Murai N +13 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
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source

