Related references
Note: Only part of the references are listed.Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network
S. Abirami et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2022)
Convolutional Autoencoder-Based Transfer Learning for Multi-Task Image Inferences
Jie Lu et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING (2022)
Adaptive Multivariate Data Compression in Smart Metering Internet of Things
Mayukh Roy Chowdhury et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Regional air quality forecasting using spatiotemporal deep learning
S. Abirami et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network
Min Chen et al.
IEEE TRANSACTIONS ON BIG DATA (2021)
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture
Sivagami Sivasundaram et al.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2021)
Low-Cost Automatic Weather Stations in the Internet of Things
Konstantinos Ioannou et al.
INFORMATION (2021)
Densely connected convolutional network block based autoencoder for panorama map compression
Shengwei Wang et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2020)
Energy Compaction-Based Image Compression Using Convolutional AutoEncoder
Zhengxue Cheng et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2020)
A novel smart meter data compression method via stacked convolutional sparse auto-encoder
Shouxiang Wang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)
Image Compression and Encryption Combining Autoencoder and Chaotic Logistic Map
K. M. Ameen Suhail et al.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A-SCIENCE (2020)
A PCA compression method for reactor core transient multiphysics simulation
Alexey Cherezov et al.
PROGRESS IN NUCLEAR ENERGY (2020)
A3D: Attention-based auto-encoder anomaly detector for false data injection attacks
Arnav Kundu et al.
ELECTRIC POWER SYSTEMS RESEARCH (2020)
DeepSqueeze: Deep Semantic Compression for Tabular Data
Amir Ilkhechi et al.
SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (2020)
EFFICIENT DEEP LEARNING-BASED LOSSY IMAGE COMPRESSION VIA ASYMMETRIC AUTOENCODER AND PRUNING
Jun-Hyuk Kim et al.
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (2020)
Adversarial Attention-Based Variational Graph Autoencoder
Ziqiang Weng et al.
IEEE ACCESS (2020)
Variable Rate Deep Image Compression With Modulated Autoencoder
Fei Yang et al.
IEEE SIGNAL PROCESSING LETTERS (2020)
Deep Neural Networks with Extreme Learning Machine for Seismic Data Compression
Hilal H. Nuha et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2020)
Electric Load Data Compression and Classification Based on Deep Stacked Auto-Encoders
Xiaoyao Huang et al.
ENERGIES (2019)
A robustness metric for biological data clustering algorithms
Yuping Lu et al.
BMC BIOINFORMATICS (2019)
Environmental Monitoring Based on Fog Computing Paradigm and Internet of Things
Wendong Wang et al.
IEEE ACCESS (2019)
ATTENTION-BASED WAVENET AUTOENCODER FOR UNIVERSAL VOICE CONVERSION
Adam Polyak et al.
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) (2019)
An efficient compression of ECG signals using deep convolutional autoencoders
Ozal Yildirim et al.
COGNITIVE SYSTEMS RESEARCH (2018)
Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data
Meng Ma et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder
Feiran Huang et al.
ICMR '18: PROCEEDINGS OF THE 2018 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (2018)
Learning Convolutional Networks for Content-weighted Image Compression
Mu Li et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Coupled Deep Autoencoder for Single Image Super-Resolution
Kun Zeng et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Quantum autoencoders for efficient compression of quantum data
Jonathan Romero et al.
QUANTUM SCIENCE AND TECHNOLOGY (2017)
Predicting network modules of cell cycle regulators using relative protein abundance statistics
Cihan Oguz et al.
BMC SYSTEMS BIOLOGY (2017)
Deep neural network for halftone image classification based on sparse auto-encoder
Yan Zhang et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2016)
Measuring the robustness of link prediction algorithms under noisy environment
Peng Zhang et al.
SCIENTIFIC REPORTS (2016)
T test as a parametric statistic
Tae Kyun Kim
KOREAN JOURNAL OF ANESTHESIOLOGY (2015)
An Efficient and Robust Data Compression Algorithm in Wireless Sensor Networks
Yao Liang et al.
IEEE COMMUNICATIONS LETTERS (2014)
Correlation and simple linear regression
KH Zou et al.
RADIOLOGY (2003)
Compression of large data grids for Internet transmission
P Wessel
COMPUTERS & GEOSCIENCES (2003)
A new hybrid algorithm for ECG signal compression based on the wavelet transformation of the linearly predicted error
SM Ahmeda et al.
MEDICAL ENGINEERING & PHYSICS (2001)
Share Paper
