A Cell Segmentation/Tracking Tool Based on Machine Learning.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-9686-5_19
Abstract: The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and introduce a method to identify… read more here.
Keywords: machine learning; based machine; segmentation; cell segmentation ... See more keywords
An information-based machine learning approach to elasticity imaging
Sign Up to like & getrecommendations! Published in 2017 at "Biomechanics and Modeling in Mechanobiology"
DOI: 10.1007/s10237-016-0854-6
Abstract: An information-based technique is described for applications in mechanical property imaging of soft biological media under quasi-static loads. We adapted the Autoprogressive method that was originally developed for civil engineering applications for this purpose. The… read more here.
Keywords: technique; based machine; method; elasticity imaging ... See more keywords
AdDroid: Rule-Based Machine Learning Framework for Android Malware Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-019-01248-0
Abstract: Recent years have witnessed huge growth in Android malware development. Colossal reliance on Android applications for day to day working and their massive development dictates for an automated mechanism to distinguish malicious applications from benign… read more here.
Keywords: android; android malware; based machine; machine learning ... See more keywords
Research on real-time data transmission and multi-scale video image decomposition of embedded optical sensor array based on machine learning
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09847-w
Abstract: Aiming at the research of real-time data transmission and multi-scale image decomposition of embedded optical sensor array, the principle, method and fusion strategy of multi-sensor image fusion are studied comprehensively, thoroughly and systematically by combining… read more here.
Keywords: image; machine learning; based machine; multi scale ... See more keywords
Design of Target Recognition System Based on Machine Learning Hardware Accelerator
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-5211-2
Abstract: Target recognition system based on machine learning has the problems of long delay, high power-consuming and high cost, which cause it difficult to be promoted in some small embedded devices. In order to develop a… read more here.
Keywords: based machine; target recognition; machine learning; target ... See more keywords
Mitigating effects of temperature variations through probabilistic-based machine learning for vibration-based bridge scour detection
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Civil Structural Health Monitoring"
DOI: 10.1007/s13349-020-00427-y
Abstract: This paper presents a novel approach to mitigating the effect of temperature variations on the bridges’ dynamic modal properties for more reliably detecting scour damage around bridge piles based on the vibration-based measurements. The novelty… read more here.
Keywords: probabilistic based; machine learning; vibration; based machine ... See more keywords
Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.
Sign Up to like & getrecommendations! Published in 2018 at "Academic radiology"
DOI: 10.1016/j.acra.2018.03.008
Abstract: RATIONALE AND OBJECTIVES To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from… read more here.
Keywords: machine; spine imaging; based machine; radiology ... See more keywords
Generating accurate in silico predictions of acute aquatic toxicity for a range of organic chemicals: Towards similarity-based machine learning methods.
Sign Up to like & getrecommendations! Published in 2021 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2021.130681
Abstract: There has been an increase in the use of non-animal approaches, such as in silico and/or in vitro methods, for assessing the risks of hazardous chemicals. A number of machine learning algorithms link molecular descriptors… read more here.
Keywords: toxicity; similarity based; machine learning; based machine ... See more keywords
Combined climate and regional mosquito habitat model based on machine learning
Sign Up to like & getrecommendations! Published in 2021 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2021.109594
Abstract: Abstract Besides invasive mosquito species also several native species are proven or suspected vectors of arboviruses as West Nile or Usutu virus in Western Europe. Habitat models of these native vectors can be a helpful… read more here.
Keywords: habitat; mosquito; model; based machine ... See more keywords
An SBM-based machine learning model for identifying mild cognitive impairment in patients with Parkinson's disease
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Neurological Sciences"
DOI: 10.1016/j.jns.2020.117077
Abstract: OBJECTIVE To identify Parkinson's disease with mild cognitive impairment (PD-MCI) through surface-based morphometry (SBM) based machine learning model. METHODS 93 patients with parkinson's disease (35 PD with normal cognition, 58 PD-MCI) were examined, obtaining 276… read more here.
Keywords: machine; machine learning; based machine; model ... See more keywords
110th Anniversary: Ensemble-Based Machine Learning for Industrial Fermenter Classification and Foaming Control
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b02424
Abstract: In the industrial sector, foaming remains an inevitable side effect of mixing, shearing, powder incorporation, and the metabolic activities of microorganisms in a bioprocess. Excessive foaming can interfere with the mixing of reactants and lead… read more here.
Keywords: ensemble based; based machine; machine learning; fermenter ... See more keywords