Results 151 to 160 of about 59,820 (274)
Clinical and Translational Discovery, Volume 6, Issue 3, June 2026.We built a manifest‐based reproducible benchmark of 280 lung ultrasound clips from 190 public videos. Binary lung‐sliding models misclassify lung pulse as normal and treat lung point as ambiguous, demonstrating that present‐versus‐absent classification is an incomplete proxy for pneumothorax reasoning. Abstract Background and aims Reproducible external
Takehiro Ishikawa
wiley +1 more source
طب کار, 2019 Background: Faculty members are one of the main factors in the higher education system, that high level of occupational stress caused by educational, research, and executive duties makes them exposed to burnout.
Hamideh Shekari
doaj
Prediction of Short-Term Stock Price Trend Based on Multiview RBF Neural Network. [PDF]
Comput Intell Neurosci, 2021 Lv B, Jiang Y.
europepmc +1 more source
Legume Science, Volume 8, Issue 2, June 2026.ABSTRACT Given increasing water scarcity, the need to reduce chemical inputs, and the growing demand for nutritionally valuable vegetable oils, identifying sustainable cropping systems for camelina production has become increasingly important. This study aimed to evaluate the combined effects of nitrogen application, irrigation regimes (irrigated and ...
Shahzad Jamaati Somarin +3 more
wiley +1 more source
RBF Neural Network Sliding Mode Control for Passification of Nonlinear Time-Varying Delay Systems with Application to Offshore Cranes. [PDF]
Sensors (Basel), 2022 Jiang B, Liu D, Karimi HR, Li B.
europepmc +1 more source
Legume Science, Volume 8, Issue 2, June 2026.ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour +2 more
wiley +1 more source
AI‐Driven Properties Prediction in Si3N4 Ceramics: Image‐Based and Processing Parameter Strategies
International Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.ABSTRACT This review presents AI‐based approaches for predicting key properties of silicon nitride (Si3N4) ceramics from both microstructural images and process parameters. Convolutional neural networks (CNNs) successfully predicted bending strength, fracture toughness, and dielectric breakdown strength directly from microstructural images, with higher
Ryoichi Furushima +3 more
wiley +1 more source
Multiple Laplacian Regularized RBF Neural Network for Assessing Dry Weight of Patients With End-Stage Renal Disease. [PDF]
Front Physiol, 2021 Guo X +8 more
europepmc +1 more source
Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT When estimating future flood events using a global hydrological model (GHM), the large uncertainties associated with general circulation models (GCMs) and bias in the GHM model pose significant challenges. In the meantime, most future flood estimations are conducted only at specific gauge stations due to limited data availability and are ...
Jiaqing Wang, Quan J. Wang, Jianshi Zhao
wiley +1 more source
International Journal of Robust and Nonlinear Control, Volume 36, Issue 8, Page 4717-4728, 25 May 2026.ABSTRACT A newly developed robust control strategy based on an adaptive neural network (ANN) estimator performed in concert with adaptive super‐twisting (ASTW) control is presented. The proposed adaptive robust control algorithm is applied to a class of perturbed nonlinear systems and features a significantly decreased control gain with respect to the ...
Mohammad Javad Mirzaei +3 more
wiley +1 more source