Results 221 to 230 of about 333,902 (325)
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Bayesian Response-Adaptive Randomization for Cluster Randomized Controlled Trials. [PDF]
Liu Y, Young Karris M, Jain S.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Refining estimation techniques for the Two-Sided Power Distribution: A data-sensitive perspective. [PDF]
Güral Y.
europepmc +1 more source
Cooperation and Competition among Clustered MSEs in East Java
Arif Hoetoro
openalex +2 more sources
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources. [PDF]
Anagnostopoulos T +4 more
europepmc +1 more source

