Evaluating and Improving Light Absorption Retrievals of Black Carbon Using In Situ Polar Nephelometry. [PDF]
Xu Q +7 more
europepmc +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Rapid Assessment of Virtually Synthesizable Chemical Structures via Support Vector Machine Models. [PDF]
Iwasaki Y, Miyao T.
europepmc +1 more source
Constructing Reproducing Kernel Function in H~2[a,b] Space
Tingting Bai
openalex +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Statistical inference for heterogeneous treatment effect with right-censored data from synthesizing randomized clinical trials and real-world data. [PDF]
Mao G, Yang S, Wang X.
europepmc +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Analysis of fractional-order model for the transmission dynamics of malaria via Caputo-Fabrizio and Atangana-Baleanu operators. [PDF]
Agbata BC +4 more
europepmc +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Investigation of Lacosamide solubility in supercritical carbon dioxide with machine learning models. [PDF]
Esfandiari N.
europepmc +1 more source

