Results 61 to 70 of about 6,149,346 (258)
Approximating the multi-level bottleneck assignment problem. [PDF]
We consider the multi-level bottleneck assignment problem (MBA). This problem is described in the recent book 'Assignment Problems' by Burkard et al. (2009) on pages 188-189.
Spieksma, Frits +2 more
core
Systemic Extracerebral Atherosclerotic Burden and Dementia Risk After Incident Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Stroke survivors are at increased risk of dementia, but clinically accessible markers of risk heterogeneity remain limited. Previous studies have largely examined atherosclerotic disease in individual vascular beds rather than the overall burden of systemic extracerebral atherosclerosis.
Zhexuan Yu +4 more
wiley +1 more source
Order statistics and the linear assignment problem [PDF]
Under mild conditions on the distribution functionF, we analyze the asymptotic behavior in expectation of the smallest order statistic, both for the case thatF is defined on (–, +) and for the case thatF is defined on (0, ).
Houweninge, M. van +2 more
core
Analysis of dynamic system optimal assignment with departure time choice [PDF]
, 2004 Most analyses on dynamic system optimal (DSO) assignment are done by using the control theory with an outflow traffic model. On the one hand, this control theoretical formulation provides some attractive mathematical properties for analysis.
Chow, A.H.F.
core
Parkinson Disease Subtype Stability and Eventual Convergence
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Previous research identified distinct Parkinson disease (PD) clinical subtypes of “Motor Only,” “Psychiatric & Motor,” and “Cognitive & Motor” based on comprehensive, multidomain classification. Whether these subtypes reflect distinct trajectories or progressive disease stages remains unknown.
Laura M. Rosok +10 more
wiley +1 more source
Adaptive approach heuristics for the generalized assignment problem [PDF]
The Generalized Assignment Problem consists in assigning a set of tasks to a set of agents with minimum cost. Each agent has a limited amount of a single resource and each task must be assigned to one and only one agent, requiring a certain amount of the
Helena Ramalhinho-Lourenço +1 more
core
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem [PDF]
We consider semidefinite programming relaxations of the quadratic assignment problem, and show how to exploit group symmetry in the problem data. Thus we are able to compute the best known lower bounds for several instances of quadratic assignment ...
Klerk, E. de, Sotirov, R.
core
A numerically reliable approach to robust pole assignment for descriptor systems [PDF]
, 2003 We propose a general, numerically reliable computational approach to solve the pole and eigenstructure assignment problem for descriptor systems. In the multi-input case, the proposed approach addresses the intrinsic non-uniqueness of the pole assignment
A. Varga, Varga, Andras
core
Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?
Arthritis Care &Research, Accepted Article.Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source