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  1. 1221

    Ridge Regressive Data Preprocessed Quantum Deep Belief Neural Network for Effective Trajectory Planning in Autonomous Vehicles by S. Nirmala Devi, Rajesh Natarajan, Gururaj H. L., Francesco Flammini, Badria Sulaiman Alfurhood, Sujatha Krishna

    Published 2024-01-01
    “…The RRDPQDBNN model intends to carry out effective trajectory planning in autonomous vehicles through enhanced accuracy and minimum time complexity. Initially, in the RRDPQDBNN model, vehicle data are extracted and transmitted to the input layer. …”
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    Virtual Reality Video Image Classification Based on Texture Features by Guofang Qin, Guoliang Qin

    Published 2021-01-01
    “…However, the convolutional neural network method still has disadvantages such as complex network model, too long training time and excessive consumption of computing resources, slow convergence speed, network overfitting, and classification accuracy that needs to be improved. …”
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  8. 1228

    Rolling Force Prediction of Hot Rolling Based on GA-MELM by Jingyi Liu, Xinxin Liu, Ba Tuan Le

    Published 2019-01-01
    “…However, because of the complexity and nonlinearity of the rolling process, as well as many influencing factors, the theoretical analysis of the traditional rolling force prediction model often needs to be simplified and hypothesized. …”
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    Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model by János Abonyi, Richárd Károly, Gyula Dörgö

    Published 2021-01-01
    “…In this method, by predicting transition probabilities, the output layer is interpreted as a probability model by creating a prediction tree of sequences instead of just a single sequence. …”
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    Conscious and Unconscious Gender Bias in Competence Evaluations: Mental Representations of Project Managers by Rocío Poveda-Bautista, Jose Antonio Diego-Mas, Hannia González-Urango, Carmen Corona-Sobrino

    Published 2025-01-01
    “…In project management, unconscious gender biases represent a hidden layer of complexity, subtly shaping evaluations of competences and leadership potential. …”
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    Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals by Nebojša Malešević, Dimitrije Marković, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk

    Published 2018-01-01
    “…The obtained results show that using hidden semi-Markov models as the top layer, instead of the hidden Markov models, ranks top in all the relevant metrics among the tested combinations. …”
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