Results 221 to 230 of about 74,320 (358)
Our present study reveals that surgical step recognition performs moderately well when trained on video data from a single institution and applied to an external institution's data. Nevertheless, our model substantially improves its prediction capabilities when trained on the same amount of data from multiple institutions.
James S. Strong+8 more
wiley +1 more source
Inverse Probability of Treatment Weighting Using the Propensity Score With Competing Risks in Survival Analysis. [PDF]
Austin PC, Fine JP.
europepmc +1 more source
This study investigated the utility of the Japanese NCD risk calculator for preoperative assessment in elderly patients undergoing pancreaticoduodenectomy (PD), using a validation study design. In the training cohort, two preoperative factors—the predicted incidence of postoperative ADL decline ≥ 44.8% and Clavien–Dindo grade IV or higher complications
Nana Kimura+9 more
wiley +1 more source
Joint Entropy Error Bound of Two-Dimensional Direction-of-Arrival Estimation for L-Shaped Array. [PDF]
Kong X, Zhao D, Wang N, Xu D.
europepmc +1 more source
Weak generalized inverses and minimum variance linear unbiased estimation
M. Zelen, A.J. Goldman
openaire +1 more source
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley +1 more source
Integrating endogeneity in survey sampling using instrumental-variable calibration estimator. [PDF]
Intizar MN+5 more
europepmc +1 more source
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar+3 more
wiley +1 more source
Efficient Real-Time Isotope Identification on SoC FPGA. [PDF]
Guerrero-Morejón K+5 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci+4 more
wiley +1 more source