Results 101 to 110 of about 10,742,237 (292)

Frequency domain iterative feedforward/feedback tuning for MIMO ANVC

, 2007
A new iterative feedback/feed-forward tuning (IFFT) method is presented for multiple-input multiple-output (MIMO) control systems that relies on efficient computation of the negative gradient of the controller cost function in the frequency domain.
Veres, S.M., Luo, J.
core   +1 more source

MTFSC: A Self-Supervised Transferable Representation Learning Algorithm for Diagnosing Cross-Machine Faults in Rotating Machinery

Algorithms
Rotating machinery is a key component in modern industry, and its operating condition directly affects equipment safety and production reliability. However, discrepancies among different machines cause source–target distribution shifts, while fault ...
Yuan Xu, Enyong Xu, Yingnan Gao, Zhenzhen Jin   +3 more
doaj   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

Research on Frequency-Domain Learning-Based Fault Diagnosis Methods in Nuclear Power Plants via a Lightweight Complex-Valued Neural Network

Energies
Nuclear power plant (NPP) fault diagnosis is critical to ensure the safe, stable and economic operation of nuclear facilities. Existing deep learning-based NPP fault diagnosis methods primarily extract features from the temporal and spatial domain. Given
Zijian Wu, Zhe Dong, Xiaojin Huang
doaj   +1 more source

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

TrajRL-TFF: A Trajectory Representation Learning Method Based on Time-domain and Frequency-domain Feature Fusion

Computational Urban Science
Trajectory representation learning transforms raw trajectory data (sequences of spatiotemporal points) into low-dimensional representation vectors to improve downstream tasks such as trajectory similarity computation, prediction, and classification ...
Kang Liu, Zhiying Lin, Kemin Zhu, Ling Yin, Jianze Zheng, Yongheng Feng, Shaohua Wang, Yan Zhang   +7 more
doaj   +1 more source

A Semi-Supervised Approach Combining Image and Frequency Enhancement for Echocardiography Segmentation

IEEE Access
Segmentation of internal structures in echocardiography enables quantitative measurements of the cardiac size, shape, and function, thereby facilitating automated diagnosis and treatment planning.
Jiajun Ding, Xiaoxiang Han
doaj   +1 more source

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey, Jessica Fitzpatrick, Maria Dall'Era, Charmayne Dunlop‐Thomas, Courtney Hoge, S. Sam Lim, Patricia P. Katz, Jinoos Yazdany, Laura C. Plantinga   +8 more
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Cross-domain few-shot hyperspectral image classification with frequency-aware augmentation

European Journal of Remote Sensing
Cross-domain few-shot hyperspectral image classification remains challenging due to limited labeled samples and domain shifts between source and target domains.
Xiaojiang Jiang, Hui Zhang, Yapeng Wang
doaj   +1 more source