Results 61 to 70 of about 3,773,797 (206)

Topology planning for autonomous MMGs: an ordered binary decision diagram-based approach

open access: yesIET Smart Grid, 2019
This paper finds its motivation from the perspective of utility planners, where the flexibility of choice while reconfiguring a distribution system into Multi-Micrgrids (MMGs) is critical.
Hafiz Anwar Ullah Khan   +3 more
doaj   +1 more source

Cost-bounded binary decision diagrams for 0-1 programming

open access: yes, 2007
In binary decision diagrams (BDDs) were introduced as a technique for postoptimality analysis for integer programming. In this paper we show that much smaller BDDs can be used for the same analysis by employing cost bounding techniques in their ...
J. N. Hooker   +6 more
core   +1 more source

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma   +16 more
wiley   +1 more source

EMPLOYING COMPLEXITY ESTIMATES OF BINARY DECISION DIAGRAMS IN THE SYNTHESIS OF LOGICAL CIRCUITS

open access: yesInformatika, 2016
A formula is suggested to evaluate the area of a logical circuit that is built in a given library of logical elements according to the BDD (Binary Decision Diagram) representation of a system of Boolean functions. The experimental results of synthesis of
N. A. Avdeev, P. N. Bibilo
doaj  

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang   +23 more
wiley   +1 more source

Mining simple and complex patterns efficiently using Binary Decision Diagrams [PDF]

open access: yes, 2009
© 2009 Dr. Elsa LoekitoPattern mining is a knowledge discovery task which is useful for finding interesting data characteristics. Existing mining techniques sometimes suffer from limited performance in challenging situations, such as when finding ...
Loekito, E.
core   +1 more source

Quantum and classical nondeterministic OBDDs

open access: yesУчёные записки Казанского университета: Серия Физико-математические науки
A model of nondeterministic ordered binary decision diagrams (NOBDDs) was analyzed. A method for proving a lower bound on the complexity of quantum NOBDDs was developed.
A. F. Gainutdinova
doaj   +1 more source

Partial Binary Decision Diagrams

open access: yes, 2008
--Decision diagrams provide compact representations for discrete functions. There are some functions for which binary decision diagrams reach exponential size.

core  

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon   +9 more
wiley   +1 more source

Decision diagrams in machine learning: an empirical study on real-life credit-risk data. [PDF]

open access: yes
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result of which the produced classifiers might become too large to be ...
Files, CM   +3 more
core  

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