Results 61 to 70 of about 4,223,867 (200)
The ADHM-like constructions for instantons on CP2 and three-dimensional gauge theories
We study the moduli spaces of self-dual instantons on CP2 in a simple group G. When G is a classical group, these instanton solutions can be realized using ADHM-like constructions which can be naturally embedded into certain three-dimensional quiver ...
Noppadol Mekareeya +1 more
doaj +1 more source
Abstract Objective Surgical decision‐making in temporal lobe epilepsy (TLE) faces a critical challenge in determining whether the hippocampus can be safely spared during anterior temporal resection, particularly when surgery involves the language‐dominant hemisphere.
Guhan Seshadri NP +6 more
wiley +1 more source
Abstract Objective Detection of epilepsy‐causing structural brain lesions on magnetic resonance imaging (MRI) is critical for diagnosis, prognosis, and treatment planning in people with epilepsy. We aimed to establish an epilepsy‐directed multisite harmonized 3‐T MRI acquisition protocol for the Australian Epilepsy Project (AEP) and describe the ...
David N. Vaughan +19 more
wiley +1 more source
New 3d N $$ \mathcal{N} $$ = 2 dualities from quadratic monopoles
Aspects of three dimensional N $$ \mathcal{N} $$ = 2 gauge theories with monopole super-potentials and their dualities are investigated. The moduli spaces of a number of such theories are studied using Hilbert series.
Antonio Amariti +2 more
doaj +1 more source
Pulse Signal Analysis Method Based on Improved HHT [PDF]
The traditional Hilbert-Huang Transform(HHT) has low accuracy in Empirical Mode Decomposition(EMD) when processing pulse signals,and there are mode mixing problems.In response to this problem,this paper proposes an improved HHT method.Combined with Time ...
KUANG Xue, LI Zhi, WANG Yongjun, ZHANG Shaorong
doaj +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley +1 more source
Magnetic quivers from brane webs with O7+-planes
We consider the Higgs branch of 5d fixed points engineered using brane webs with an O7+-plane. We use the brane construction to propose a set of rules to extract the corresponding magnetic quivers.
Mohammad Akhond, Federico Carta
doaj +1 more source
Some combinatorial identities related to commuting varieties and Hilbert schemes [PDF]
In this article we explore some of the combinatorial consequences of recent results relating the isospectral commuting variety and the Hilbert scheme of points in the ...
Ginzburg, V. +3 more
core +1 more source

