Results 191 to 200 of about 83,645 (264)
Rare event detection by progressive clustering undersampling. [PDF]
Abuzeid A, Jolkver E.
europepmc +1 more source
Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke +12 more
wiley +1 more source
Clinically oriented dual-tier screening for post-stroke epilepsy with interpretable machine learning in a severely imbalanced cohort. [PDF]
Wu L, Wu H, Xu L, Li J, Wang J.
europepmc +1 more source
This work integrates 5 years of field data from the Aquistore CCS project with a non‐isothermal THM modeling framework to explain how cold CO2 injection alters injectivity over time. The study shows that sustained cooling near the wellbore reduces effective stresses, promotes tensile micro‑cracking, and leads to semi‑reversible permeability enhancement
Alireza Rangriz Shokri +3 more
wiley +1 more source
Photonics-Aided 20 m Wireless Transmission of 56-GBaud OFDM Signals at 138 GHz in the D-Band for 6G Applications. [PDF]
Zhang H, Pei Z, Zhang Q, Chen Y, Yu J.
europepmc +1 more source
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu +4 more
wiley +1 more source
Enhancing TSH-based congenital hypothyroidism screening using machine learning and resampling algorithms. [PDF]
De Furia A, Branco P, Henderson M.
europepmc +1 more source
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu +7 more
wiley +1 more source
Comparing effect latencies in the visual world paradigm: Monte Carlo simulations to assess resampling-based procedures. [PDF]
Minor S.
europepmc +1 more source
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source

