18 results with keyword: 'hybrid approach imbalanced classification deep neural network'
We have conducted three sets of performance evaluation, MNIST digit image classification, texture image classification, and malware standard dataset, and have shown
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Many academics may have justifiable concerns about learner withdrawal into personal devices when in a face-to-face learning context, yet those who do wish to harness the potential
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Hardness proofs for worst-case lattice problems Hardness proofs for average-case lattice problems (crucial for lattice-based cryptography). Damien Stehl´ e Computing with
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In this paper, the imbalanced classification using fuzzy neural network reduces the completion time, error-rate and increases accuracy, performance of imbalanced
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A framework of simulated dispersal is com- bined with life-history information and analyses of population genetic structure to investigate the invasion dynamics of a plant
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On the other hand, as the number of minority instances is limited, and instance selection usually selects less than ten percent instances from the original dataset, it is so hard to
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If you intend to have another home built within 12 months of selling your old home and will be making progress payments, then the portion of your sale proceeds which you intend to
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The tool can compute the extended view-factor and extended incident heat fluxes for solar, planetary and albedo contributions using the Monte Carlo Ray Tracing model. The software
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Keywords: Crescentic glomerulonephritis, Enzyme replacement therapy, Fabry ’ s disease, Granulomatosis with
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• To graduate from Leadership San Angelo, a participant is expected to attend all sessions (one absence may be allowed, but any other absences will require a make-up session
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The purpose of this Directive is to describe the Valuation Principles to be used for risk measurement and accounting /financial reporting purposes for equity, foreign exchange,
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Keywords: Skin lesions classification; mobile-enabled skin lesion classification; convolution neural network acne classification; eczema classification; psoriasis classification;
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Objectives: The purpose of this pilot study was to compare differences between traditional occupational therapy (OT) and OT delivered with a dog and handler, or animal-assisted
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Keywords : Classification, Deep learning, Convolutional Neural Network, GoogleNet,
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AC: Atypical carcinoid; APCs: Antigen-presenting cells; CTLs: Cytotoxic lymphocytes; FFPE: Formalin-fixed paraffin-embedded; HNSCC: Squamous cell carcinoma of head and neck;
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Compared with convolution neural network, the hybrid classification model of convolution neural network and support vector machine proposed in this paper has better image
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The hybrid emotion recognition model combines a Deep Convolutional Neural Network (CNN) for self-learnt feature extraction and a Support Vector Machine (SVM) for
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The 1H NMR study confirms the formation of inclusion complex while surface tension and conductivity studies support the formation inclusion complex with 1:1
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