Results 221 to 230 of about 33,546 (278)

An exploration of the (3+1)-dimensional negative order KdV-CBS model: Wave solutions, Bäcklund transformation, and complexiton dynamics. [PDF]

PLoS One
Vivas-Cortez M, Rani B, Raza N, Basendwah GA, Imran M.   +4 more
europepmc   +1 more source

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang, Hyeok Yun, Kyeongrae Cho, Seungjoon Eom, Soomin Kim, Seongsoo Jeong, Rockhyun Baek   +6 more
wiley   +1 more source

CLT for β -Ensembles at High Temperature and for Integrable Systems: A Transfer Operator Approach. [PDF]

Ann Henri Poincare
Mazzuca G, Memin R.
europepmc   +1 more source

Robot‐Assisted Doppler Optical Coherence Tomography for Intraoperative Evaluation of Microvascular Anastomoses

Advanced Intelligent Systems, EarlyView.
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li, Yong Huang, Lu Liu, Danling Tong, Juyi Wang, Meng Li, Yujie Bai, Dedi Tong, Shan Zhu, Shanlin Chen, Qun Hao   +10 more
wiley   +1 more source

Dynamical study of different types of soliton solutions with bifurcation, chaos and sensitivity analysis to the non-linear coupled Schrödinger model. [PDF]

Sci Rep
Nasir R, Abbas M, Alharthi MR, Nazir T, Yousaf MZ, Birhanu A.   +5 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Photoacoustic Noninvasive Blood Glucose Monitoring: A Review of Systems and Strategies for Robust Glucose Concentration Estimation, with Perspectives on Miniaturization and Wearability. [PDF]

Sensors (Basel)
Zhang J, Li Z, Wang M, Lin L, Wang G, Chen C.   +5 more
europepmc   +1 more source

Quantitative Homogenization for the Obstacle Problem and Its Free Boundary. [PDF]

Arch Ration Mech Anal
Aleksanyan G, Kuusi T.
europepmc   +1 more source

Chaos in Stochastic 2d Galerkin-Navier-Stokes. [PDF]

Commun Math Phys
Bedrossian J, Punshon-Smith S.
europepmc   +1 more source

A Q-Operator for Open Spin Chains II: Boundary Factorization. [PDF]

Commun Math Phys
Cooper A, Vlaar B, Weston R.
europepmc   +1 more source