Results 111 to 120 of about 221,316 (324)

A family of vector bundles on P 3 of homological dimension 2 and χ (EndE) = 1

, 2020
Sérgio Mendes, Rosa M. Miró‐Roig, Helena Soares   +2 more
openalex   +1 more source

Diffeological connections on diffeological vector pseudo-bundles [PDF]

, 2016
Ekaterina Pervova
openalex   +1 more source

On the obstruction to extending a vector bundle from a submanifold [PDF]

, 2020
A. V. Gavrilov
openalex   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Vanishing theorems for vector bundles generated by sections [PDF]

, 2010
F. Laytimi, D. S. Nagaraj
openalex   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Theta divisors of stable vector bundles may be nonreduced [PDF]

, 2014
George H. Hitching, Christian Pauly
openalex   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Rationality and Poincare families for vector bundles with extra structure on a curve [PDF]

, 2005
Norbert Hoffmann
openalex   +1 more source

Fabrication‐Directed Entanglement for Designing Chiral and Anisotropic Metamaterial Foams

Advanced Engineering Materials, EarlyView.
This work introduces fabrication‐directed entanglement (FDE), combining viscous thread printing and topology optimization to program entangled foams with spatially patterned stiffness. By tuning coil density, FDE enables anisotropy, programmable Poisson's ratio, and chirality in foams.
Daniel Revier, Brett Emery, Jacob Miske, Jeffrey Lipton   +3 more
wiley   +1 more source