A probabilistic data association based MIMO detector using joint detection of consecutive symbol vectors [PDF]
, 2008 A new probabilistic data association (PDA) approach is proposed for symbol detection in spatial multiplexing multiple-input multiple-output (MIMO) systems.
Lv, Tiejun +4 more
core +1 more source
Redundancy, Deduction Schemes, and Minimum-Size Bases for Association Rules [PDF]
, 2009 Association rules are among the most widely employed data analysis methods in the field of Data Mining. An association rule is a form of partial implication between two sets of binary variables.
A Freitas +11 more
core +2 more sources
The digital stethoscope: Why Switzerland's Electronic Health Record requires citizen testing
Swiss Medical WeeklySwitzerland's Electronic Patient Record (EPR) system faces a critical adoption crisis: less than 2% of the population has opened an account despite years of investment. To understand this failure from the citizen's perspective, we launched the first “
Barbara C. Biedermann +3 more
doaj +1 more source
Density Based Clustering Data Association Procedure for Real–Time HFSWRs Tracking at OTH Distances
IEEE Access, 2020 In order to efficiently cover maritime areas at over the horizon (OTH) distances and thus increase marine safety in a nation's exclusive economic zone (EEZ), a network of maritime sensors built around High Frequency Surface Wave Radars (HFSWR) can be an ...
Nikola Stojkovic +2 more
doaj +1 more source
Granular association rules for multi-valued data
, 2013 Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and multi-valued ones should be dealt with in the process of rule mining.
Min, Fan, Zhu, William
core +1 more source
Stochastic models (cooperative and non-cooperative) for NMR analysis of the hetero-association of aromatic molecules in aqueous solution [PDF]
, 2006 Stochastic cooperative (STOCH-C) and non-cooperative (STOCH-NC) models have been developed for NMR analysis of the hetero-association of aromatic compounds in solution, in order to take into account all physically meaningful association reactions of ...
Davies, David B. +2 more
core +1 more source
Prediction of Metabolic Pathways Involvement in Prokaryotic UniProtKB Data by Association Rule Mining [PDF]
, 2016 The widening gap between known proteins and their functions has encouraged the development of methods to automatically infer annotations. Automatic functional annotation of proteins is expected to meet the conflicting requirements of maximizing ...
Boudellioua, Imane +4 more
core +3 more sources
Quantile Association for Bivariate Survival Data
Biometrics, 2016 SummaryBivariate survival data arise frequently in familial association studies of chronic disease onset, as well as in clinical trials and observational studies with multiple time to event endpoints. The association between two event times is often scientifically important.
Li, Ruosha +3 more
openaire +3 more sources
Simultaneous SNP identification in association studies with missing data
, 2012 Association testing aims to discover the underlying relationship between genotypes (usually Single Nucleotide Polymorphisms, or SNPs) and phenotypes (attributes, or traits).
Casella, George +4 more
core +1 more source
Quantifying Fire Risk Index in Chemical Industry Using Statistical Modeling Procedure
Applied SciencesFire incident reports contain detailed textual narratives that capture causal factors often overlooked in structured records, while financial damage amounts provide measurable outcomes of these events.
Hyewon Jung +3 more
doaj +1 more source