Results 81 to 90 of about 49,604 (295)
Interdisciplinary Medicine, EarlyView.This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai +11 more
wiley +1 more source
Improving the Response of a Wheel Speed Sensor by Using a RLS Lattice Algorithm
Sensors, 2006 Among the complete family of sensors for automotive safety, consumer andindustrial application, speed sensors stand out as one of the most important. Actually, speedsensors have the diversity to be used in a broad range of applications.
Wilmar Hernandez
doaj +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
Journal of Applied Econometrics, EarlyView.ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source
RLS adaptive filter co-design for de-noising ECG signal
Results in EngineeringDoctors diagnose various heart muscle disorders by continuously analyzing ELECTROCARDIOGRAM (ECG) signals. Obtaining a noise-free ECG recording is difficult due to various types of interference, making an effective filter essential for accurate diagnosis.
Ahlam Fadhil Mahmood +2 more
doaj +1 more source
EURASIP Journal on Advances in Signal Processing, 2016 In this paper, a new adaptive robustified filter algorithm of recursive weighted least squares with combined scale and variable forgetting factors for time-varying parameters estimation in non-stationary and impulsive noise environments has been proposed.
B. Kovacevic, Z. Banjac, I. Kovacevic
semanticscholar +1 more source
What Explains International Interest Rate Co‐Movement?
Journal of Applied Econometrics, EarlyView.ABSTRACT The international co‐movement of interest rates reflects correlated business‐cycle fluctuations, largely driven by demand shocks. Monetary policy in advanced economies follows domestic mandates—inflation and the output gap—and does not respond to foreign policy shocks.
Annika Camehl, Gregor von Schweinitz
wiley +1 more source
Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou +10 more
wiley +1 more source
Electronic Journal of Structural Engineering, 2008 An on-line adaptive input estimation method that estimates the moving force inputs of the bridge structure is presented in this research. By using the inverse method, input forces acting on bridge structural system can be estimated from the measured ...
Tsung-Chien Chen, Ming-Hui Lee
doaj +1 more source
AI Epistemic Disengagement and Consumer Dependence: An Augmentation‐Substitution Framework
Psychology &Marketing, EarlyView.ABSTRACT Artificial intelligence has become consumers' primary decision‐making resource, raising two questions: how do consumers justify accepting AI as a trusted source of reasoning, and when does this acceptance maintain rather than forfeit their capacity to think independently?
Vasilis Theoharakis +1 more
wiley +1 more source