Results 171 to 180 of about 336,506 (292)

Who Can Safely Discontinue Treatment in Myasthenia Gravis? Insights From a Long-Term Real-World Study. [PDF]

Eur J Neurol
He D, Yan C, Wang B, Yang Y, Gu S, Xi J, Luo S, Zhao C.   +7 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

Modeling insurance claims using Bayesian nonparametric regression. [PDF]

PLoS One
Shams M, Ghosh K.
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Force-controlled robotic ultrasound elastography enhances diagnostic consistency for thyroid nodules. [PDF]

Insights Imaging
Yan T, Le X, Xie L, Qiu X, Cheng D, Pei C, Hu L.   +6 more
europepmc   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Lightweight hybrid neural network with physics consistency regularization for lithium-ion battery state of health estimation. [PDF]

Sci Rep
Zhang P, Zhang H, Zhou J, Zhou Q, Chen J.   +4 more
europepmc   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Advanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang, Marco Peres, Carlo Bradac, Gil Gonçalves   +3 more
wiley   +1 more source

Optimal Wavelengths and Solvents to Modulate Diazirine Kinetics

ACS Omega
Elwin W. J. Ang, Ivan Djordjevic, Animesh Ghosh, Chen Yee Goh, Hao Zhang, Bryce Yu Heng Leck, Miranda J. Baran, Jeremy E. Wulff, Terry W. J. Steele   +8 more
doaj   +1 more source

Was Motorized Spiral Enteroscopy Too Risky? A Systematic Review and Meta-Analysis Including German Registry Data. [PDF]

United European Gastroenterol J
Steinbrück I, Kuellmer A, Faiss S, Buchholz H, Lewerenz B, Fitting D, Wiedbrauck F, Hollerbach S, Schmidt A, Rey JW, Kirstein MM, Dumoulin FL, Wittich FM, Wannhoff A, Pohl J, Friesicke M, Rempel V, Allgaier HP, Wiessner C, Rösch T.   +19 more
europepmc   +1 more source