Results 61 to 70 of about 171,225 (171)
, 2006 A Bloom filter is a simple randomized data structure that answers membership query with no false negative and a small false positive probability. It is an elegant data compression technique for membership information, and has broad applications.
Bruck, Jehoshua +2 more
core
The Unified Approach to Set-Membership and Selective Partial Update Adaptive Filtering Algorithms
International Journal of Information and Communication Technology Research, 2010 In this paper we show how the classical and modern adaptive filter algorithms can be introduced in a unified way. The Max normalized least mean squares (MAX-NLMS), N-Max NLMS, the family of SPU-NLMS, SPU transform domain adaptive filter (SPU-TDAF), and ...
Mohammad Shams Esfand Abadi +1 more
doaj
Combine multi-dimension Bloom filter for membership queries
Tongxin xuebao, 2008 Based on the analysis of multi-dimension Bloom filter（MDBF） presented before, a combine multi-dimension Bloom filter（CMBE） was presented. CMDBF adds a combine Bloom filter （CBF） to MDBF to assist in representing the whole element.
XIE Kun1 +4 more
doaj +2 more sources
Research on the Fault Diagnosis of a Polymer Electrolyte Membrane Fuel Cell System
Energies, 2020 In this work, the possibilistic fuzzy C-means clustering artificial bee colony support vector machine (PFCM-ABC-SVM) method is proposed and applied for the fault diagnosis of a polymer electrolyte membrane (PEM) fuel cell system.
Feng Han +3 more
doaj +1 more source
Yes-no Bloom filter: A way of representing sets with fewer false positives [PDF]
, 2016 The Bloom filter (BF) is a space efficient randomized data structure particularly suitable to represent a set supporting approximate membership queries. BFs have been extensively used in many applications especially in networking due to their simplicity ...
Carrea, Laura +2 more
core +1 more source
A Novel Image Segmentation Algorithm Based on Neutrosophic Filtering and Level Set [PDF]
Neutrosophic Sets and Systems, 2016 Image segmentation is an important step in image processing and analysis, pattern recognition, and machine vision. A few of algorithms based on level set have been proposed for image segmentation in the last twenty years.
Yanhui Guo, Abdulkadir Şengür
doaj
A Non-invasive Method to Diagnose Lung Adenocarcinoma
Frontiers in Oncology, 2020 Purpose: To find out the CT radiomics features of differentiating lung adenocarcinoma from another lung cancer histological type.Methods: This was a historical cohort study, three independent lung cancer cohorts included.
Mengmeng Yan +3 more
doaj +1 more source
Developing an ontological sandbox : investigating multi-level modelling’s possible Metaphysical Structures [PDF]
, 2017 One of the central concerns of the multi-level modelling (MLM) community is the hierarchy of classifications that appear in conceptual models; what these are, how they are linked and how they should be organised into levels and modelled. Though there has
de Cesare, Sergio +4 more
core
, 2017 We characterize the first 40 Myr of evolution of circumstellar disks through a unified study of the infrared properties of members of young clusters and associations with ages from 2 Myr up to ~ 40 Myr: NGC 1333, NGC 1960, NGC 2232, NGC 2244, NGC 2362 ...
Gaspar, Andras +3 more
core +1 more source
Experimental Investigation for RUAV's Actuator Fault Detections with AESMF
International Journal of Advanced Robotic Systems, 2015 The adaptive extended set-membership filter (AESMF) algorithm for robots' online modelling is today proposed for use in this field. Compared to the traditional ESMF, this novel filter method improves estimation accuracy under variable boundaries of ...
Dalei Song +3 more
doaj +1 more source