Results 91 to 100 of about 27,483 (269)

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

Methodology for Distributed Optimization of Flexible Energy Resources Through Semi-Automated Model Transformation and Deployment

IEEE Open Journal of the Industrial Electronics Society
Effectively utilizing flexible energy resources requires optimizing their operation over time to balance dynamic demand and fluctuating supply from volatile renewable sources. Traditionally, this has been achieved through centralized optimization models,
Vincent Henkel, Lukas Peter Wagner, Maximilian Kilthau, Felix Gehlhoff, Alexander Fay   +4 more
doaj   +1 more source

Visualizing and Quantifying Impact with Mechanochromic Sensing Paints Based on Self‐Assembled Polydiacetylene‐Silk Core‐Shell Vesicles

Advanced Science, EarlyView.
Tracking physical impacts is important in many fields. Self‐assembled microparticles made from polydiacetylene and silk fibroin that change color from blue to red when hit can provide an alternative approach to traditional mechanical transducers, quantitatively visualizing impact with responses ranging from <100 to 770 N.
Marco Lo Presti, Giulia Guidetti, Elisabetta Ruggeri, Terri Lyne Carrington, Fiorenzo G. Omenetto   +4 more
wiley   +1 more source

Parameter Estimation with the Ordered ℓ₂ Regularization via an Alternating Direction Method of Multipliers

Applied Sciences, 2019
Regularization is a popular technique in machine learning for model estimation and for avoiding overfitting. Prior studies have found that modern ordered regularization can be more effective in handling highly correlated, high-dimensional data than ...
Mahammad Humayoo, Xueqi Cheng
doaj   +1 more source

Atomic‐Scale Mechanisms of Multi‐Resistance States in HfOx‐Based RRAM: Evolution of Atomic Electric Fields and Oxygen Vacancies

Advanced Science, EarlyView.
Atomic‐scale mechanisms governing multilevel resistive switching in HfOx‐based RRAM are reveal through advanced TEM. Thermally driven m‐phase rotation ([101]↔[011]) enables selective oxygen vacancy migration, which reconstructs atomic electric fields and dictates conduction—from Schottky/Poole‐Frenkel emission to Ohmic transport.
Wen Sun, Yuyan Wang, Ruofei Hu, Yuyao Lu, Jun Xu, Xinyi Li, Bin Gao, He Qian, Jianshi Tang, Huaqiang Wu   +9 more
wiley   +1 more source

Hybrid variational model based on alternating direction method for image restoration

Advances in Difference Equations, 2019
The total variation model is widely used in image deblurring and denoising process with the features of protecting the image edge. However, this model usually causes some staircase effects.
Jianguang Zhu, Kai Li, Binbin Hao
doaj   +1 more source

Faster accelerated alternating direction method of multipliers

Filomat
In this paper, by implanting the classical Gauss-Seidel method into the Fast ADMM method, we propose the faster accelerated alternating direction method of multipliers (F-AADMM) to solve the convex optimization problem, and discuss the convergence property and convergence rate of the F-AADMM method.
Shi-Liang Wu, Sha-Sha Fan, Cui-Xia Li
openaire   +1 more source

Multi‐Scale Structural Effects of External Electrical Fields of Melt Tracks in Laser Powder Bed Fusion

Advanced Science, EarlyView.
Laser material processing is a promising technique for fabricating metal structures. Here, external electric field (EFs) assisted laser processing of metallic powders are investigated. EFs affect the melt tracks through changes in their stability and influence the grain structure in conjunction with laser intensity distribution methods. The EF‐assisted
Ankit Das, Shuichiro Hayashi, Craig B. Arnold   +2 more
wiley   +1 more source

Regularized extreme learning machine based on variable step alternating direction method of multipliers

Shenzhen Daxue xuebao. Ligong ban
To address the deficiency of slow convergence rate and stagnation of error decay during later iteration of alternating direction method of multipliers (ADMM) for regularized extreme learning machine (RELM), we propose a dynamic step size ADMM-based RELM ...
LU Huihuang, ZOU Weidong, LI Yuxiang
doaj   +1 more source

Alternating Direction Method of Multipliers-Based Constant Modulus Waveform Design for Dual-Function Radar-Communication Systems. [PDF]

Entropy (Basel), 2023
Saleem A, Basit A, Munir MF, Waseem A, Khan W, Malik AN, AlQahtani SA, Daraz A, Pathak P.   +8 more
europepmc   +1 more source