Results 111 to 120 of about 892,017 (284)
Exact and Approximation Algorithms for Linear Arrangement Problems [PDF]
Alain Quiliot, Djamal Rebaine
doaj +1 more source
Exact and approximation algorithms for sensor placement against DDoS attacks [PDF]
Dariusz Nogalski +2 more
doaj +1 more source
Exact and heuristic algorithms for post prognostic decision in a single multifunctional machine
Prognostic and Health Management (PHM) benefits are strongly tied to the decision-making that follows the assimilation and interpretation of prognostics information.
Asma Ladj +3 more
doaj +1 more source
The Libra Toolkit for Probabilistic Models
The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, and sum-product networks. Compared to other toolkits, Libra places a greater
Lowd, Daniel, Rooshenas, Amirmohammad
core
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
EXACT ALGORITHMS FOR SIZE CONSTRAINED CLUSTERING [PDF]
This thesis investigates the following general constrained clustering problem: given a dimension $d$, an $L^p$-norm, a set $X\subset\R^d$, a positive integer $k$ and a finite set $\mathcal M\subset\N$, find the optimal $k$-partition $\{A_1,...,A_k\}$ of $X$ w.r.t. the $L^p$-norm satisfying $|A_i|\in \mathcal M$, $i=1,...,k$. First of all, we prove that
openaire +2 more sources
Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz +11 more
wiley +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Exact Quantum Algorithms for Quantum Phase Recognition: Renormalization Group and Error Correction
We explore the relationship between renormalization-group (RG) flow and error correction by constructing quantum algorithms that exactly recognize one-dimensional symmetry-protected topological (SPT) phases protected by finite internal Abelian symmetries.
Ethan Lake +2 more
doaj +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source

