Linear-Time Recognition of Double-Threshold Graphs
Sign Up to like & getrecommendations! Published in 2022 at "Algorithmica"
DOI: 10.1007/s00453-021-00921-9
Abstract: A graph $$G = (V,E)$$ G = ( V , E ) is a double-threshold graph if there exist a vertex-weight function $$w :V \rightarrow \mathbb {R}$$ w : V → R and two real… read more here.
Keywords: linear time; double threshold; mathtt mathtt; graphs ... See more keywords
Best Subset Selection for Double-Threshold-Variable Autoregressive Moving-Average Models: The Bayesian Approach
Sign Up to like & getrecommendations! Published in 2021 at "Computational Economics"
DOI: 10.1007/s10614-021-10124-7
Abstract: In this paper, we propose an effective Bayesian subset selection method for the double-threshold-variable autoregressive moving-average (DT-ARMA) models. The usual complexity of estimation is increased mainly by capturing the correlation between two threshold variables and… read more here.
Keywords: threshold variable; moving average; double threshold; subset selection ... See more keywords
333 - The advantages of a double threshold MoCA (Montreal Cognitive Assessment) for triaging patients to a memory clinic
Sign Up to like & getrecommendations! Published in 2020 at "International Psychogeriatrics"
DOI: 10.1017/s1041610220002331
Abstract: The MoCA was developed as a screening tool for mild cognitive impairment (MCI) and mild dementia (MD) and validated in different settings. At the original suggested cutoff of read more here.
Keywords: moca; threshold moca; assessment; 333 advantages ... See more keywords
The Montreal Cognitive Assessment (MoCA) with a double threshold: improving the MoCA for triaging patients in need of a neuropsychological assessment.
Sign Up to like & getrecommendations! Published in 2021 at "International psychogeriatrics"
DOI: 10.1017/s1041610221000612
Abstract: OBJECTIVES Diagnosis of patients suspected of mild dementia (MD) is a challenge and patient numbers continue to rise. A short test triaging patients in need of a neuropsychological assessment (NPA) is welcome. The Montreal cognitive… read more here.
Keywords: moca; moca double; assessment; double threshold ... See more keywords
Adaptive Double Threshold Detection Method for Range-Spread Targets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3129981
Abstract: The performance of wideband radar detectors can be further improved if the features of a target's high-resolution range profile (HRRP) are fully utilized. In this paper, a target adaptive double threshold detection method is proposed.… read more here.
Keywords: double threshold; range; detection; method ... See more keywords
Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2018.2816580
Abstract: As vehicular communication becomes a widespread phenomenon, there will be an increase in spectrum scarcity. Cognitive radio provides an effective solution but requires a robust sensing mechanism that entails a large overhead; this additional sensing… read more here.
Keywords: spectrum sensing; double threshold; threshold spectrum; spectrum ... See more keywords
Similarity Judgment-Based Double-Threshold Method for Time-of-Flight Determination in an Ultrasonic Gas Flowmeter
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2017.2757158
Abstract: Double-threshold method is a typical and simple time-of-flight (TOF) measurement method for time-difference-based ultrasonic flowmeter. Some improvements have been proposed to suppress the cycle-skip phenomenon in double-threshold method. However, there are still some application limitations… read more here.
Keywords: threshold method; similarity; double threshold; method time ... See more keywords
Scene text detection via extremal region based double threshold convolutional network classification
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0182227
Abstract: In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by… read more here.
Keywords: detection; double threshold; level; text detection ... See more keywords
A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables
Sign Up to like & getrecommendations! Published in 2023 at "Axioms"
DOI: 10.3390/axioms12050476
Abstract: In this article, we consider the nonparametric inference for the time-varying coefficient double-threshold generalized autoregressive conditional heteroscedastic models. The quasi-maximum exponential likelihood estimators (QMELEs) of the model’s parameters and the asymptotic properties of the estimators… read more here.
Keywords: time; double threshold; coefficient double; varying coefficient ... See more keywords