Results 141 to 150 of about 219,190 (262)

Non‐Invasive Triage of Bladder Outlet Obstruction and Detrusor Underactivity in Men With Lower Urinary Tract Symptoms: A Narrative Review and Conceptual Framework for Depth‐Aware Multimodal Transcutaneous Testing

open access: yesNeurourology and Urodynamics, EarlyView.
ABSTRACT Introduction Differentiating bladder outlet obstruction (BOO) from detrusor underactivity (DU) remains a major unmet need in the management of lower urinary tract symptoms in men. Although pressure–flow urodynamics provide a definitive physiological classification, their invasiveness limits their widespread use.
Sehwan Kim   +3 more
wiley   +1 more source

Translating Machine Learning Into Manufacturing Expertise—Actionable Interpretability and Stability for Precision Injection Molding

open access: yesPolymer Engineering &Science, EarlyView.
This research aims to enhance confidence in using AI/ML models and address unpredicted defects occurred during injection molding (IM) through guided machine fine‐tuning. Integrated stability analysis and parallel coordinate visualization coupled with perturbation analysis are presented to augment domain‐specific XAI applications in the IM industry ...
Chung‐Yin Lin   +6 more
wiley   +1 more source

Machine Learning for Thermodynamic States of Notional Nonideal Energetic Mixtures

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
. ABSTRACT Currently, modeling the thermodynamic states in the reaction zone of a detonating energetic mixture entails iteratively solving a set of coupled differential equations that require detailed material property information or models whose empirical parameters must be physically measured.
Sangeeth Balakrishnan   +7 more
wiley   +1 more source

Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga   +5 more
wiley   +1 more source

Not All Missing Data are Equal: Choosing the Right Imputation Method for Binary Datasets

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Missing binary predictors are common in reliability, quality control, and industrial decision systems, yet imputation methods are often chosen by convenience rather than evidence. We conduct a Monte Carlo study comparing mode substitution, sequential hot‐deck, missForest, MICE, and KNN with three neighbourhood sizes under MCAR, MAR, and MNAR ...
Manuel Delfino, Fabio Rapallo
wiley   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer   +12 more
wiley   +1 more source

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