Related references
Note: Only part of the references are listed.Deep Belief Network-Based Multifeature Fusion Music Classification Algorithm and Simulation
Tianzhuo Gong
COMPLEXITY (2021)
Machine Learning Technologies for Secure Vehicular Communication in Internet of Vehicles: Recent Advances and Applications
Elmustafa Sayed Ali et al.
SECURITY AND COMMUNICATION NETWORKS (2021)
Image Classification Model Based on Deep Learning in Internet of Things
Songshang Zou et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2020)
Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
Ugo Fiore et al.
INFORMATION SCIENCES (2019)
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Chong Zhang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Cloud-based video analytics using convolutional neural networks
Muhammad Usman Yaseen et al.
SOFTWARE-PRACTICE & EXPERIENCE (2019)
Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network
Fanhui Kong et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
A self-organizing deep belief network for nonlinear system modeling
Junfei Qiao et al.
APPLIED SOFT COMPUTING (2018)
Rolling bearing fault detection using continuous deep belief network with locally linear embedding
Haidong Shao et al.
COMPUTERS IN INDUSTRY (2018)
Deep learning for pixel-level image fusion: Recent advances and future prospects
Yu Liu et al.
INFORMATION FUSION (2018)
A rear-end collision prediction scheme based on deep learning in the Internet of Vehicles
Chen Chen et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2018)
Symmetric convolutional neural network for mandible segmentation
Ming Yan et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Coupled generative adversarial stacked Auto-encoder: CoGASA
Mohammad Ahangar Kiasari et al.
NEURAL NETWORKS (2018)
Local Lyapunov exponents of deep echo state networks
Claudio Gallicchio et al.
NEUROCOMPUTING (2018)
Recent advances in convolutional neural networks
Jiuxiang Gu et al.
PATTERN RECOGNITION (2018)
Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition
Honghui Yang et al.
SENSORS (2018)
Updating the Silent Speech Challenge benchmark with deep learning
Ji Yan et al.
SPEECH COMMUNICATION (2018)
Self-Organizing Traffic Flow Prediction with an Optimized Deep Belief Network for Internet of Vehicles
Shidrokh Goudarzi et al.
SENSORS (2018)
Statistical Feature Analysis of Human Footprint for Personal Identification Using BigML and IBM Watson Analytics
Kapil Kumar Nagwanshi et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2018)
Internet of Vehicles in Big Data Era
Wenchao Xu et al.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2018)
A novel broadcast authentication protocol for internet of vehicles
Na Ruan et al.
PEER-TO-PEER NETWORKING AND APPLICATIONS (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Evaluating deep learning architectures for Speech Emotion Recognition
Haytham M. Fayek et al.
NEURAL NETWORKS (2017)
Deep reservoir computing: A critical experimental analysis
Claudio Gallicchio et al.
NEUROCOMPUTING (2017)
Big Social Data Analytics for Public Health: Predicting Facebook Post Performance using Artificial Neural Networks and Deep Learning
Nadiya Straton et al.
2017 IEEE 6TH INTERNATIONAL CONGRESS ON BIG DATA (BIGDATA CONGRESS 2017) (2017)
A novel Adaptive Fractional Deep Belief Networks for speaker emotion recognition
Kasiprasad Mannepalli et al.
ALEXANDRIA ENGINEERING JOURNAL (2017)
A checkpointed league championship algorithm-based cloud scheduling scheme with secure fault tolerance responsiveness
Shafi'i Muhammad Abdulhamid et al.
APPLIED SOFT COMPUTING (2017)
The rise of ransomware and emerging security challenges in the Internet of Things
Ibrar Yaqoob et al.
COMPUTER NETWORKS (2017)
Quaternion-based Deep Belief Networks fine-tuning
Joao Paulo Papa et al.
APPLIED SOFT COMPUTING (2017)
Apache Spark: A Unified Engine for Big Data Processing
Matei Zaharia et al.
COMMUNICATIONS OF THE ACM (2016)
Learning word dependencies in text by means of a deep recurrent belief network
Iti Chaturvedi et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Social Internet of Vehicles for Smart Cities
Leandros A. Maglaras et al.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS (2016)
The role of big data in smart city
Ibrahim Abaker Targio Hashem et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2016)
DoS attack prevention technique in Wireless Sensor Networks
Shital Patil et al.
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING AND VIRTUALIZATION (ICCCV) 2016 (2016)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Deep learning driven blockwise moving object detection with binary scene modeling
Yaqing Zhang et al.
NEUROCOMPUTING (2015)
Real-Time Detection of Denial-of-Service Attacks in IEEE 802.11p Vehicular Networks
Nikita Lyamin et al.
IEEE COMMUNICATIONS LETTERS (2014)
Internet of Things (IoT): A vision, architectural elements, and future directions
Jayavardhana Gubbi et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2013)
Representational power of restricted Boltzmann machines and deep belief networks
Nicolas Le Roux et al.
NEURAL COMPUTATION (2008)
Adaptive sensor modelling and classification using a continuous restricted Boltzmann machine (CRBM)
Tong Boon Tang et al.
NEUROCOMPUTING (2007)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Continuous restricted Boltzmann machine with an implementable training algorithm
H Chen et al.
IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING (2003)
Training products of experts by minimizing contrastive divergence
GE Hinton
NEURAL COMPUTATION (2002)