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Showing 221 - 240 results of 672 for search '((vectoria OR sectoria) OR (victor OR vector))*', query time: 0.10s Refine Results
  1. 221

    3-way respiratory sound classification using machine learning algorithms by Tu, Yixuan

    Published 2020
    “…With the development in the fields of artificial intelligence and machine learning, such as Support Vector Machine (SVM) and Convolutional Neural Network (CNN), many biomedical and healthcare applications have gained additional support from high-tech. …”
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    Thesis-Master by Coursework
  2. 222

    Research on the DC-biased current control method in motor systems by Yan, Yuteng

    Published 2022
    “…The mathematical model of the motor is built in the natural coordinate system and the dq0 coordinate system re-spectively. The space vector modulation scheme is introduced and analyzed in detail. …”
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    Thesis-Master by Coursework
  3. 223

    Multi modal personalized explanation generation by Marantika, Winda Kirana

    Published 2024
    “…The image feature data is derived from a quantized vector encoder from VQVAE. We have devised and tested a method capable of generating personalized explainable recommendations by incorporating image data as input. …”
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    Thesis-Master by Coursework
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  8. 228

    Onset detection for drum loop classification by Toh, Jackson Yit Chuan.

    Published 2009
    “…The first scenario was to classify the target vector into 2 classes with bass and snare drum, and the second scenario was to classify the target vector into 3 classes with the bass drum, snare drum and other onsets which are neither bass nor snare. …”
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    Final Year Project (FYP)
  9. 229

    Scene classification using a hybrid generative/discriminative approach by Bosch, A, Zisserman, A, Muñoz, X

    Published 2008
    “…Our approach consists of first discovering latent “topics” using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature here applied to a bag of visual words representation for each image, and subsequently, training a multiway classifier on the topic distribution vector for each image. We compare this approach to that of representing each image by a bag of visual words vector directly and training a multiway classifier on these vectors. …”
    Journal article
  10. 230
  11. 231

    On zero-dimensional polynomial systems and their applications to the elliptic curve discrete logarithm problem by Yun, Yang

    Published 2018
    “…Finally, we provide some concrete examples of vector spaces with the nice properties.…”
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    Thesis
  12. 232

    Evaluating machine learning for predicting youth suicidal behavior up to 1 year after contact with mental-health specialty care by O’Reilly, LM, Fazel, S, Rickert, ME, Kuja-Halkola, R, Cederlöf, M, Hellner, C, Larsson, H, Lichtenstein, P, D’Onofrio, BM

    Published 2024
    “…Sensitivities ranged from 0.33 (support vector machines) to 0.91 (standard logistic regression). …”
    Journal article
  13. 233

    Effect of curvature variations on the hydrodynamic performance of heaving and pitching foils by van Rees, Wim M.

    Published 2024
    “…Maximum thrust is achieved when the camber variations are synchronized with the maximum heave velocity, increasing the overall magnitude of the force vector while increasing efficiency as well. Maximum efficiency is achieved when camber is applied during the first half of the stroke, tilting the force vector to create thrust earlier in the cycle than a comparable rigid fin. …”
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    Article
  14. 234

    Enhanced kernel methods for pattern classification by Tang, Ke

    Published 2008
    “…A kernel method named least squares support vector machine is investigated in sub-topics of the pattern classification area.…”
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    Thesis
  15. 235
  16. 236

    Measurement of the τ lepton polarization in Z boson decays in proton-proton collisions at  √𝑠 = 13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M.

    Published 2024
    “…The τ lepton polarization depends on the ratio of the vector to axial-vector couplings of the τ leptons in the neutral current expression, and thus on the effective weak mixing angle sin2 θ W eff $$ {\theta}_{\textrm{W}}^{\textrm{eff}} $$ , independently of the Z boson production mechanism. …”
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    Article
  17. 237

    Avoidance of Concave Obstacles Through Rotation of Nonlinear Dynamics by Huber, Lukas, Slotine, Jean-Jacques, Billard, Aude

    Published 2024
    “…By utilizing weighted vector-tree summation, we successfully navigate around general concave obstacles represented as a tree-of-stars. …”
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    Article
  18. 238

    Polymeric nonviral gene delivery systems for cancer immunotherapy by Ke, Lingjie, Cai, Pingqiang, Wu, Yun‐Long, Chen, Xiaodong

    Published 2020
    “…Unlike viral vectors with their undesired safety or immunogenicity concerns, biocompatible polymeric nonviral vectors as gene delivery systems are more promising in gene or cell therapy. …”
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    Journal Article
  19. 239

    Orientational beamforming via a modified RBF neural network for orientational UWB interference rejection by Han, Jiangyan, Ng, Boon Poh, Er, Meng Hwa

    Published 2022
    “…However, the conventional Euclidean-distance-based RBF neural network is not suitable for the training process used in this work, as the training samples are noiseless orientational steering vectors in frequency domain. Therefore, a modified RBF neural network is proposed in this paper, which evaluates the similarity between an input vector and the center vector of a hidden layer neuron by their signed complex correlation coefficient. …”
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    Journal Article
  20. 240

    DCEnt‐PredictiveNet: a novel explainable hybrid model for time series forecasting by Sudarshan, Vidya K., Ramachandra, Reshma A., Ojha, Smit, Tan, Ru-San

    Published 2024
    “…This work presents a novel hybrid framework called DCEnt-PredictiveNet (deep convolutional neural network (DCNN) + entropy + support vector regressor (SVR)) that concatenate both deep and handcrafted features for time series data analysis and forecasting. …”
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    Journal Article