Multi-feature-based crowd video modeling for visual event detection
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DOI: 10.1007/s00530-020-00652-x
Abstract: We propose a novel method for modeling crowd video dynamics by adopting a two-stream convolutional architecture which incorporates spatial and temporal networks. Our proposed method cope with the key challenge of capturing the complementary information… read more here.
Keywords: video; proposed method; multi feature; crowd video ... See more keywords
T-test based Alzheimer’s disease diagnosis with multi-feature in MRIs
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DOI: 10.1007/s11042-018-5768-0
Abstract: Diagnosing Alzheimer’s disease (AD) with magnetic resonance imaging (MRI) has attracted increasing attention. In this paper, we propose a new feature selection method for AD diagnosis by selecting interested structures in brain MRI. In the… read more here.
Keywords: feature; diagnosis; alzheimer disease; test ... See more keywords
Smoky vehicle detection based on multi-feature fusion and ensemble neural networks
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DOI: 10.1007/s11042-018-6248-2
Abstract: Existing methods of smoky vehicle detection from the traffic flow are inefficiency and need a large number of workers. To solve this issue, we propose an automatic smoky vehicle detection method based on multi-feature fusion… read more here.
Keywords: detection; smoky vehicle; vehicle detection; vehicle ... See more keywords
Image Driven Multi Feature Plant Management with FDE Based Smart Agriculture with Improved Security in Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08710-x
Abstract: Technology development in satellite, sensor network and image processing has been applied for various issues. Such developments are well adapted towards smart agriculture in recent times. It has been adapted to monitor the plants for… read more here.
Keywords: smart agriculture; multi feature; agriculture; security ... See more keywords
Multi feature behavior approximation model based efficient botnet detection to mitigate financial frauds
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01677-w
Abstract: Money laundering and other financial frauds are increasing day by day and the financial industries face various challenges from them. They construct botnets to generate such fraudulent attacks towards financial sectors. To mitigate such threats… read more here.
Keywords: behavior approximation; multi feature; feature behavior; botnet ... See more keywords
Atrial fibrillation detection based on multi-feature extraction and convolutional neural network for processing ECG signals
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106009
Abstract: BACKGROUND AND OBJECTIVE The incidence of atrial fibrillation is increasing annually. We develop an automatic detection system, which is of great significance for the early detection and treatment of atrial fibrillation. This can lead to… read more here.
Keywords: atrial fibrillation; detection; fibrillation detection; based multi ... See more keywords
CFD Simulation of Low-attitude Droplets Deposition Characteristics for UAV based on Multi-feature Fusion
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DOI: 10.1016/j.ifacol.2018.08.123
Abstract: Abstract The movement and deposition patterns of pesticide liquids in complex airflow field were difficult to determine, and thus led to some problems such as low utilization efficiency of pesticide and reduce quality of agricultural… read more here.
Keywords: deposition; based multi; uav based; simulation ... See more keywords
Abnormal patterns recognition in bivariate autocorrelated process using optimized random forest and multi-feature extraction.
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DOI: 10.1016/j.isatra.2020.09.008
Abstract: Traditional multivariate control charts are unable to determine the specific abnormal variables as detecting process abnormality. To solve this problem, a new model based on optimized random forest (RF) and multi-feature extraction has been proposed.… read more here.
Keywords: optimized random; process; model; multi feature ... See more keywords
Distinguishing Ulva prolifera and Sargassum horneri by using multi-feature-based ResUnet algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Marine Geodesy"
DOI: 10.1080/01490419.2023.2197265
Abstract: Abstract In recent years, two types of macroalgae, namely, Ulva prolifera and Sargassum horneri, have appeared occasionally together in the Yellow Sea and the East China Sea. Remote sensing enables timely and cost-effective observation of… read more here.
Keywords: based resunet; feature; feature based; multi feature ... See more keywords
Multi-feature computational framework for combined signatures of dementia in underrepresented settings
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DOI: 10.1088/1741-2552/ac87d0
Abstract: Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia… read more here.
Keywords: underrepresented settings; feature computational; framework; bvftd patients ... See more keywords
A multi-feature image retrieval scheme for pulmonary nodule diagnosis
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DOI: 10.1097/md.0000000000018724
Abstract: Abstract Deep analysis of radiographic images can quantify the extent of intra-tumoral heterogeneity for personalized medicine. In this paper, we propose a novel content-based multi-feature image retrieval (CBMFIR) scheme to discriminate pulmonary nodules benign or… read more here.
Keywords: pulmonary nodules; multi feature; scheme; feature ... See more keywords