Results 101 to 110 of about 56,202 (281)
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
IET Science, Measurement & TechnologyTo address the high workload and low efficiency in on‐site detection of operational errors for gateway electricity meters, and the difficulties in applying existing energy conservation methods due to the influence of transformers and their secondary ...
Chunyu Wang, Jia Liu, Helong Li, Da Lu
doaj +1 more source
Screening Cut Generation for Sparse Ridge Regression
Sparse ridge regression is widely utilized in modern data analysis and machine learning. However, computing globally optimal solutions for sparse ridge regression is challenging, particularly when samples are arbitrarily given or generated under weak modeling assumptions. This paper proposes a novel cut-generation method, Screening Cut Generation (SCG),
Tan, Haozhe, Wang, Guanyi
openaire +2 more sources
Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models
Advanced Intelligent Systems, EarlyView.Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee +7 more
wiley +1 more source
Annals of Neurology, EarlyView.Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito +10 more
wiley +1 more source
Data Science in ScienceRidge, Liu, and Kibria–Lukman regression methods that have been proposed to solve the multicollinearity problem for both linear and generalized linear regression models (Kibria and Lukman, Shewa and Ugwuowo). This paper considers several different ridge,
Sergio Perez Melo +3 more
doaj +1 more source
Tau Pathology in Alzheimer's Disease Uniquely Affects Sulcal Depths
Annals of Neurology, EarlyView.Objective Though it is widely known that tau deposition affects brain structure, the precise localization of these effects is poorly understood, especially in relation to gyral and sulcal anatomy. We investigated whether tau pathology in Alzheimer's disease (AD) preferentially affects sulci, and particularly sulcal depths.
Samira A. Maboudian +10 more
wiley +1 more source