Results 41 to 50 of about 6,955,768 (244)
MODEL DETEKSI SERANGAN SSH-BRUTE FORCE BERDASARKAN DEEP BELIEF NETWORK [PDF]
, 2023 Deep Belief Networks are deep learning models that utilize stacks of Restricted Boltzmann Machines (RBM) or sometimes Autoencoders. Autoencoder is a neural network model that has the same input and output.
Constantin Menteng +2 more
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Shanghai Jiaotong Daxue xuebao, 2022 In engineering, working environment and operating state are constantly changing, which decreases the correct rate of equipment fault diagnosis, resulting in the loss of time and cost.
MA Hangyu, ZHOU Di, WEI Yujie, WU Wei, PAN Ershun
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An Improved Deep Belief Network Prediction Model Based on Knowledge Transfer
, 2020 A deep belief network (DBN) is a powerful generative model based on unlabeled data. However, it is difficult to quickly determine the best network structure and gradient dispersion in traditional DBN.
Fangai Liu, Yue Zhang
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Intelligent Systems with Applications, 2022 Applications of deep learning models for medical image analysis have been concentrated in the recent years. An automatic detection system to detect the class of Pap smear cell and cervical cancer is a challenging problem due to time consuming and ...
Mona Benhari, Rahil Hossseini
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Application of Multiacoustic Data in Feature Extraction of Anemometer
Complexity, 2021 The acoustic characteristics of wind instruments are a major feature in the field of vocal music. This paper studies the application effect of wind power instrument feature extraction based on multiacoustic data.
Dawei Chen, Xu Guo
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Emotion recognition in speech signals using optimization based multi-SVNN classifier
Journal of King Saud University: Computer and Information Sciences, 2022 Emotion recognition is an interdisciplinary area, and it achieves a significant attention of the researchers in the past few years. Automatic recognition of an emotional state intends to attain an interface among the machines and human beings ...
Kasiprasad Mannepalli +2 more
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Use of Overlapping Group LASSO Sparse Deep Belief Network to Discriminate Parkinson's Disease and Normal Control. [PDF]
Front Neurosci, 2019 As a medical imaging technology which can show the metabolism of the brain, 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) is of great value for the diagnosis of Parkinson's Disease (PD).
Shen T +9 more
europepmc +3 more sources
An End-to-end Transient Recognition Method for VSC-HVDC Based on Deep Belief Network
Journal of Modern Power Systems and Clean Energy, 2020 Lightning is one of the most common transient interferences on overhead transmission lines of high-voltage direct current (HVDC) systems. Accurate and effective recognition of faults and disturbances caused by lightning strokes is crucial in transient ...
Guomin Luo +4 more
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Empathy predicts false belief reasoning ability: Evidence from the N400 [PDF]
, 2014 Interpreting others’ actions relies on an understanding of their current mental state. Emerging research has begun to identify a number of factors that give rise to individual differences in this ability.
Cane, JE +11 more
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A Deep Neural Network for Acoustic-Articulatory Speech Inversion [PDF]
, 2011 In this work, we implement a deep belief network for the acoustic-articulatory inversion mapping problem. We find that adding up to 3 hidden-layers improves inversion accuracy.
Renals, S. +2 more
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