Articles with "sliding window" as a keyword



Gaussian sliding window for robust processing laser speckle contrast images.

Sign Up to like & get
recommendations!
Published in 2019 at "International journal for numerical methods in biomedical engineering"

DOI: 10.1002/cnm.3186

Abstract: The laser speckle contrast analysis (LASCA) is one of the most applicable tools in microcirculation studies. While the basic idea, as well as experimental setup for this method, are fairly simple, there is still the… read more here.

Keywords: contrast; speckle contrast; sliding window; laser speckle ... See more keywords

Development and clinical implementation of SeedNet: A sliding‐window convolutional neural network for radioactive seed identification in MRI‐assisted radiosurgery (MARS)

Sign Up to like & get
recommendations!
Published in 2019 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.27677

Abstract: To develop and evaluate a sliding‐window convolutional neural network (CNN) for radioactive seed identification in MRI of the prostate after permanent implant brachytherapy. read more here.

Keywords: window convolutional; seed; convolutional neural; sliding window ... See more keywords

Addressing biases in sliding window analysis gives new insight into the response of parturition date to weather in a wild mammal

Sign Up to like & get
recommendations!
Published in 2025 at "Oikos"

DOI: 10.1002/oik.11372

Abstract: Animal breeding phenology in temperate and high latitude regions is often predicted by weather variables, such as temperature. Much work on this topic has focused on taxonomic groups that employ adaptive plastic responses to annual… read more here.

Keywords: parturition date; weather; sliding window; parturition ... See more keywords

Sliding Window Iterative Identification for Nonlinear Closed‐Loop Systems Based on the Maximum Likelihood Principle

Sign Up to like & get
recommendations!
Published in 2024 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.7705

Abstract: The parameter estimation problem for the nonlinear closed‐loop systems with moving average noise is considered in this article. For purpose of overcoming the difficulty that the dynamic linear module and the static nonlinear module in… read more here.

Keywords: sliding window; nonlinear closed; loop systems; maximum likelihood ... See more keywords

Sliding-window metaheuristic optimization-based forecast system for foreign exchange analysis

Sign Up to like & get
recommendations!
Published in 2019 at "Soft Computing"

DOI: 10.1007/s00500-019-03863-1

Abstract: AbstractThe forecasting of exchange rates has become a challenging area of research that has attracted many researchers over recent years. This work presents a sliding-window metaheuristic optimization-based forecast (SMOF) system for one-step ahead forecasting. The… read more here.

Keywords: exchange; system; metaheuristic optimization; sliding window ... See more keywords

Dynamic brain functional parcellation via sliding window and artificial bee colony algorithm

Sign Up to like & get
recommendations!
Published in 2018 at "Applied Intelligence"

DOI: 10.1007/s10489-018-1328-6

Abstract: Dynamic brain functional parcellation is an important way to reveal the dynamics of brain function. However, current dynamic brain functional parcellation methods can not meet the need to clearly understand the dynamics. This paper presents… read more here.

Keywords: dynamic brain; brain functional; sliding window; functional parcellation ... See more keywords

An adaptive sliding window for anomaly detection of time series in wireless sensor networks

Sign Up to like & get
recommendations!
Published in 2022 at "Wireless Networks"

DOI: 10.1007/s11276-021-02852-3

Abstract: Recent years, anomaly detection for time series in wireless sensor networks has attracted much research attention. Existing anomaly detection methods based on pattern representation ignore the trend features of an original sequence. This leads to… read more here.

Keywords: time; time series; anomaly detection; detection ... See more keywords

Approximate Continuous Top-k Query over Sliding Window

Sign Up to like & get
recommendations!
Published in 2017 at "Journal of Computer Science and Technology"

DOI: 10.1007/s11390-017-1708-0

Abstract: Continuous top-k query over sliding window is a fundamental problem in database, which retrieves k objects with the highest scores when the window slides. Existing studies mainly adopt exact algorithms to tackle this type of… read more here.

Keywords: approximate continuous; query; continuous top; top query ... See more keywords

Sliding window averaging in normal and pathological motor unit action potential trains

Sign Up to like & get
recommendations!
Published in 2018 at "Clinical Neurophysiology"

DOI: 10.1016/j.clinph.2018.02.134

Abstract: OBJECTIVE To evaluate the performance of a recently proposed motor unit action potential (MUAP) averaging method based on a sliding window, and compare it with relevant published methods in normal and pathological muscles. METHODS Three… read more here.

Keywords: normal pathological; motor unit; sliding window; unit action ... See more keywords
Photo from wikipedia

Assessing the out-of-field dose calculation accuracy by eclipse treatment planning system in sliding window IMRT of prostate cancer patients

Sign Up to like & get
recommendations!
Published in 2020 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2020.104052

Abstract: AIM The objective of this study was to evaluate out-of-field dose distribution calculation accuracy by the Anisotropic Analytical Algorithm (AAA), version 13.0.26, in Eclipse TPS, (Varian Medical Systems, Palo Alto, Ca, USA) for sliding window… read more here.

Keywords: dose calculation; field; calculation; accuracy ... See more keywords

Optimized BP neural network for Dissolved Oxygen prediction

Sign Up to like & get
recommendations!
Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.08.132

Abstract: Abstract To solve the low accuracy, slow convergence and poor robustness problem of traditional neural network method for water quality forecasting, a new model of dissolved oxygen content prediction is proposed based on sliding window,… read more here.

Keywords: network; sliding window; dissolved oxygen; neural network ... See more keywords