Results 221 to 230 of about 322,300 (286)

Two-lens telecentric model eyes for image distortion measurement in adaptive optics ophthalmoscopes. [PDF]

Biomed Opt Express
Xia Y, Ayubi GA, Bentley J, Dubra A.
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

Speed up Multi-Scale Force-Field Parameter Optimization by Substituting Molecular Dynamics Calculations with a Machine Learning Surrogate Model. [PDF]

Chemphyschem
Strickstrock R, Hagg A, Reith D, Kirschner KN.   +3 more
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

A novel hybrid metaheuristic algorithm and response surface methodology approach for predictive modeling and optimization of cementitious compressive strength. [PDF]

Sci Rep
Maaroof RS, Hamad AS, Hussein MMF.
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

Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing. [PDF]

Bioengineering (Basel)
Mokari A, Raghunathan S, Shydliukh A, Ryabchykov O, Krafft C, Bocklitz T.   +5 more
europepmc   +1 more source

Data‐Driven Modeling of Forces Exerted by Pneumatic Actuators for a Pediatric Exosuit

Advanced Intelligent Systems, EarlyView.
This work presents the experimental analysis and data‐driven modeling of the interaction forces between soft pneumatic actuators designed to assist upper‐extremity motion in a pediatric exosuit and an engineered test rig, across different experimental conditions: (A) force profiling of shoulder actuators, with varying actuator anchoring points and ...
Mehrnoosh Ayazi, Ipsita Sahin, Caio Mucchiani, Elena Kokkoni, Konstantinos Karydis   +4 more
wiley   +1 more source

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models. [PDF]

Sci Rep
Gebremariam HG, Taye S, Tarekegn AG.
europepmc   +1 more source