steel research international, EarlyView.Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla +7 more
wiley +1 more source
Explainable 3D vision transformer framework for detecting brain anomalies in neuropsychiatric subtypes of Parkinson's disease. [PDF]
Front NeuroinformJiménez-Farfán C +12 more
europepmc +1 more source
Safety Science and Technology, EarlyView.An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu +5 more
wiley +1 more source
Development and validation of a Random Forest prediction model integrating clinical and ultrasound radiomics features for microvascular invasion in hepatocellular carcinoma patients: a retrospective study. [PDF]
Transl Cancer ResMakeshati A +3 more
europepmc +1 more source
Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi +3 more
wiley +1 more source
Cellular and subcellular specialization enables biology-constrained deep learning. [PDF]
Cell RepGalloni AR +3 more
europepmc +1 more source
Reflections on the Future of Statistics Education in a Technological Era
Teaching Statistics, EarlyView.ABSTRACT Keeping pace with rapidly evolving technology is a key challenge in teaching statistics. To equip students with essential skills for the modern workplace, educators must integrate relevant technologies into the statistical curriculum where possible.
Craig Alexander +2 more
wiley +1 more source
Multi-plasticity synergy with adaptive mechanism assignment for training spiking neural networks. [PDF]
Front NeurosciLi Z +5 more
europepmc +1 more source
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objectives To develop a multi‐sequence fusion model based on MRI images to differentiate between recurrent nasopharyngeal carcinoma (rNPC) and osteoradionecrosis (ORN) in patients with nasopharyngeal carcinoma (NPC) after radiotherapy, and to evaluate its diagnostic performance.
Wen‐Tao Gong +11 more
wiley +1 more source
Intrinsic electrical diversity of PV<sup>+</sup> retinal ganglion cells. [PDF]
iScienceKirály V, Zeck G, Werginz P.
europepmc +1 more source