The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...
Online classification of multivariate time series is crucial across diverse domains, from healthcare monitoring to industrial systems. Reservoir computing (RC), which employs a fixed, randomly ...
Have you ever stared at a massive spreadsheet, unsure how to turn that sea of numbers into something meaningful? You’re not alone. Despite Excel being one of the most widely used tools in the world, ...
Abstract: Lightning strikes have posed a severe threat to the operational safety of wind turbines. As an additional lightning-protection measure, metal meshes have been deployed on a number of ...
Objective: This study used meta-analysis to explore the efficacy and safety of camrelizumab plus apatinib in the treatment of solid tumors. Methods: PubMed, Embase, web of science, and Cochrane ...
Aim To conduct an analysis of ophthalmic manifestations in leukaemic patients and evaluate their impact on visual outcomes and disease remission. Methods This retrospective, comparative study included ...
Microsoft has announced that it will start disabling external workbook links to blocked file types by default between October 2025 and July 2026. After the rollout ...
Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
Background: Zoster-associated pain (ZAP) is the most common and intractable complication in the clinical setting when patients with herpes zoster (HZ) seek medical treatment. Short-term spinal cord ...
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