Multi-feature-based crowd video modeling for visual event detection
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Systems"
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
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
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
Named entity recognition in aerospace based on multi-feature fusion transformer
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DOI: 10.1038/s41598-023-50705-0
Abstract: In recent years, along with the rapid development in the domain of artificial intelligence and aerospace, aerospace combined with artificial intelligence is the future trend. As an important basic tool for Natural Language Processing, Named… read more here.
Keywords: named entity; multi feature; aerospace; entity recognition ... See more keywords
A GAN-based anomaly detector using multi-feature fusion and selection
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DOI: 10.1038/s41598-024-52378-9
Abstract: In numerous applications, abnormal samples are hard to collect, limiting the use of well-established supervised learning methods. GAN-based models which trained in an unsupervised and single feature set manner have been proposed by simultaneously considering… read more here.
Keywords: feature set; multi feature; wave ganomaly; gan based ... See more keywords
Customizable bistable units for soft-rigid grippers enable handling of multi-feature objects via data-driven design.
Sign Up to like & getrecommendations! Published in 2025 at "Materials horizons"
DOI: 10.1039/d5mh00050e
Abstract: Soft-rigid grippers represent a novel paradigm for grasping complex objects, combining the high deformability of soft components with the high stiffness of rigid components. Recently, bistable structures, as architected materials for engineering soft components, have… read more here.
Keywords: soft rigid; rigid grippers; multi feature; design ... See more keywords