A new method for enhancer prediction based on deep belief network

BMC Bioinformatics ◽

10.1186/s12859-017-1828-0 ◽

2017 ◽

Vol 18 (S12) ◽

Author(s):

Hongda Bu ◽

Yanglan Gan ◽

Yang Wang ◽

Shuigeng Zhou ◽

Jihong Guan

Keyword(s):

Deep Belief Network ◽

Belief Network ◽

Enhancer Prediction

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A new method of power quality disturbance classification based on deep belief network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1827/1/012021 ◽

2021 ◽

Vol 1827 (1) ◽

pp. 012021

Author(s):

Kang Wang ◽

Yanhui Xi

Keyword(s):

Power Quality ◽

Deep Belief Network ◽

Belief Network ◽

Power Quality Disturbance

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Proposing a new method of image classification based on the AdaBoost deep belief network hybrid method

TELKOMNIKA (Telecommunication Computing Electronics and Control) ◽

10.12928/telkomnika.v17i5.11797 ◽

2019 ◽

Vol 17 (5) ◽

pp. 2650

Author(s):

Jamshid Bagherzadeh ◽

Hasan Asil

Keyword(s):

Image Classification ◽

Hybrid Method ◽

Deep Belief Network ◽

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A Novel Methodology for Process Monitoring by Using Deep Belief Network

SSRN Electronic Journal ◽

10.2139/ssrn.3604720 ◽

2020 ◽

Author(s):

Jonathan Antoine ◽

John Lundberg

Keyword(s):

Process Monitoring ◽

Deep Belief Network ◽

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Software Defect Prediction via Deep Belief Network

Chinese Journal of Electronics ◽

10.1049/cje.2019.06.012 ◽

2019 ◽

Vol 28 (5) ◽

pp. 925-932

Author(s):

Hua WEI ◽

Chun SHAN ◽

Changzhen HU ◽

Yu ZHANG ◽

Xiao YU

Keyword(s):

Deep Belief Network ◽

Defect Prediction ◽

Software Defect Prediction ◽

Belief Network ◽

Software Defect

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Autonomic Workload Performance Modeling for Large-Scale Databases and Data Warehouses through Deep Belief Network with Data Augmentation using Conditional Generative Adversarial Networks

IEEE Access ◽

10.1109/access.2021.3096039 ◽

2021 ◽

pp. 1-1

Author(s):

Nusrat Shaheen ◽

Basit Raza ◽

Ahmad Raza Shahid ◽

Ahmad Kamran Malik

Keyword(s):

Large Scale ◽

Performance Modeling ◽

Data Augmentation ◽

Deep Belief Network ◽

Generative Adversarial Networks ◽

Data Warehouses ◽

Belief Network ◽

Adversarial Networks

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Pose accuracy compensation of mobile industry robot with binocular vision measurement and deep belief network

Optik ◽

10.1016/j.ijleo.2021.166716 ◽

2021 ◽

Vol 238 ◽

pp. 166716

Author(s):

Wei Wang ◽

Wei Tian ◽

Wenhe Liao ◽

Bo Li

Keyword(s):

Binocular Vision ◽

Deep Belief Network ◽

Belief Network ◽

Vision Measurement ◽

Mobile Industry

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Supervised Deep Belief Network for Quality Prediction in Industrial Processes

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2020.3035464 ◽

2021 ◽

Vol 70 ◽

pp. 1-11

Author(s):

Xiaofeng Yuan ◽

Yongjie Gu ◽

Yalin Wang

Keyword(s):

Deep Belief Network ◽

Industrial Processes ◽

Quality Prediction ◽

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Inverse filtering method of bare thermocouple for transient high-temperature test with improved deep belief network

IEEE Access ◽

10.1109/access.2020.3048996 ◽

2021 ◽

pp. 1-1

Author(s):

Chenyang Zhao ◽

Zhijie Zhang

Keyword(s):

High Temperature ◽

Deep Belief Network ◽

Inverse Filtering ◽

Belief Network ◽

Filtering Method ◽

Temperature Test

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Deep belief network-based probabilistic generative model for detection of robotic manipulator failure execution

Soft Computing ◽

10.1007/s00500-021-05572-0 ◽

2021 ◽

Author(s):

Pandit Byomakesha Dash ◽

Bighnaraj Naik ◽

Janmenjoy Nayak ◽

S. Vimal

Keyword(s):

Robotic Manipulator ◽

Deep Belief Network ◽

Generative Model ◽

Belief Network ◽

Probabilistic Generative Model

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Fractional squirrel–dolphin echolocation with deep belief network for network‐controlled vertical handoff in disparate and heterogeneous wireless network

International Journal of Communication Systems ◽

10.1002/dac.4893 ◽

2021 ◽

Author(s):

Mithun B. Patil ◽

Rekha Patil

Keyword(s):

Wireless Network ◽

Deep Belief Network ◽

Vertical Handoff ◽

Heterogeneous Wireless Network ◽

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