Results 171 to 180 of about 22,594 (260)

Frequency‐Aware Spatial‐Angular Gaussians for Efficient Global Illumination Precomputation and Real‐Time Rendering

Computer Graphics Forum, EarlyView.
Abstract Precomputation and efficient approximate material models are well‐known approaches for achieving real‐time rendering with global illumination. Recent research in radiance fields and in particular 3D Gaussian Splatting has demonstrated the power of Gaussian primitives both to represent radiance and for fast optimization.
I. Shah, S. Lucas, G. Drettakis
wiley   +1 more source

A Lightweight Model for Hot-Rolled Steel Strip Surface Defect Recognition. [PDF]

Sensors (Basel)
Guo N, Fan H, Dong Q, Gu R, Xu S.
europepmc   +1 more source

FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley   +1 more source

A minimal recurrent neural network models the robustness of interleaved practice on motor sequence learning. [PDF]

Sci Rep
Song Y, Kim H, Kim T.
europepmc   +1 more source

Pathophysiology of developmental and/or epileptic encephalopathy with spike–wave activation in sleep: A diagnostic framework

Developmental Medicine &Child Neurology, EarlyView.
This review integrates emerging evidence on the pathophysiology of D/EE‐SWAS, highlighting the role of disrupted sleep homeostasis and thalamocortical network dysfunction. We propose a clinically applicable diagnostic framework that combines sleep EEG, structural imaging, genomic testing and longitudinal neuropsychological assessment to improve ...
Aysha Rasheed, Shivani Sekar, Rameez Naqvi, Manidipa Dutta, Manal Issa, Angeliki Menounou, Deepa Krishnakumar, Thiloka Ratnaike   +7 more
wiley   +1 more source

Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks. [PDF]

CPT Pharmacometrics Syst Pharmacol
Sundell J, Wahlquist Y, Kjellsson MC, Karlsson MO, Soltesz K.   +4 more
europepmc   +1 more source

Shared dysregulation of complement and phosphorylation pathways in the cerebrospinal fluid of encephalitis, Aicardi–Goutières syndrome, and autism

Developmental Medicine &Child Neurology, EarlyView.
Abstract Aim To identify shared and disorder‐specific molecular alterations across encephalitis, Aicardi–Goutières syndrome (AGS), and autism spectrum disorder (ASD) using cerebrospinal fluid (CSF) proteomics. Method In this cross‐sectional case–control study, mass‐spectrometry‐based proteomics was performed on archived CSF samples collected between ...
Omar H. Shadid, Peter G. Hains, Velda X. Han, Jingya Yan, Michael Griffiths, Ignatius Pang, Sushil Bandodkar, Phillip J. Robinson, Russell C. Dale   +8 more
wiley   +1 more source

Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease. [PDF]

Sci Rep
Grassia M, d'Andrea V, Finc K, De Domenico M, Mangioni G.   +4 more
europepmc   +1 more source

A Horse Race of Machine‐Learning Methods to Predict Banking Crises

International Finance, EarlyView.
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley   +1 more source

Dynamic nested hierarchies: self-evolving machine learning architectures for lifelong learning. [PDF]

Front Artif Intell
Jafari AA, Ozcinar C, Anbarjafari G.
europepmc   +1 more source