Search Results - "Deep Autoencoder Network"

Recognition of geochemical anomalies using a deep autoencoder network by Xiong, Yihui, Zuo, Renguang

“… The southwestern Fujian district (China) is chosen as a case study area. A variety of learning rates, iterations, and the size of each hidden layer are constructing and training the deep autoencoder networks on all the geochemical samples…”
Get full text

Orthogonal Nonnegative Matrix Factorization using a novel deep Autoencoder Network by Yang, Mingming, Xu, Songhua

“…Orthogonal Nonnegative Matrix Factorization (ONMF) offers an important analytical vehicle for addressing many problems. Encouraged by record-breaking successes…”
Get full text

Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization by Esmaeiloghli, Saeid, Tabatabaei, Seyed Hassan, Carranza, Emmanuel John M.

“…In recent years, deep autoencoder networks (DANs) have shown enormous potential to achieve state-of-the-art performance for recognizing multi-element geochemical anomalies related to mineralization…”
Get full text

A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection by Soltani, Zeinab, Hassani, Hossein, Esmaeiloghli, Saeid

“…-stationarities in support of spatially aware anomaly detection. A deep autoencoder network (DAN) is trained to abstract deep feature codings…”
Get full text

Social movie recommender system based on deep autoencoder network using Twitter data by Tahmasebi, Hossein, Ravanmehr, Reza, Mohamadrezaei, Rezvan

“…Recommender systems attempt to provide effective suggestions to each user based on their interests and behaviors. These recommendations usually match the…”
Get full text

OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection by Abbasi, Saad, Famouri, Mahmoud, Shafiee, Mohammad Javad, Wong, Alexander

“…Human operators often diagnose industrial machinery via anomalous sounds. Given the new advances in the field of machine learning, automated acoustic anomaly…”
Get full text

A Novel Lane-Changing Decision Model for Autonomous Vehicles Based on Deep Autoencoder Network and XGBoost by Gu, Xinping, Han, Yunpeng, Yu, Junfu

“…Lane-changing (LC) is a critical task for autonomous driving, especially in complex dynamic environments. Numerous automatic LC algorithms have been proposed…”
Get full text

An end-to-end framework for flight trajectory data analysis based on deep autoencoder network by Zhang, Weining, Hu, Minghua, Du, Jinghan

Get full text

Quality assessment of building footprint data using a deep autoencoder network by Xu, Yongyang, Chen, Zhanlong, Xie, Zhong, Wu, Liang

“…Volunteered geographic information (VGI), OpenStreetMap (OSM), has been used in many applications, especially when official spatial data are unavailable or…”
Get full text

Novelty Detection and Fault Diagnosis Method for Bearing Faults Based on the Hybrid Deep Autoencoder Network by Zhao, Yuanyuan, Hao, Huijuan, Chen, Yu, Zhang, Yu

“… based on a hybrid deep autoencoder network. Firstly, a hybrid deep autoencoder network with one input and two outputs was constructed…”
Get full text

Circuit reliability prediction based on deep autoencoder network by Xiao, Jie, Ma, Weifeng, Lou, Jungang, Jiang, Jianhui, Huang, Yujiao, Shi, Zhanhui, Shen, Qing, Yang, Xuhua

“…As semiconductor feature size continues to decrease and the density of integration continues to increase, highly reliable circuit design is experiencing many…”
Get full text

A Novel PAPR Reduction Scheme Based on Deep Autoencoder Network for FBMC Systems by Cheng, Xing, Chen, Deli, Li, Shuaishuai, He, Shanbao, Kong, Dejin

“…Filter bank multicarrier (FBMC) is a crucial complementary waveform to orthogonal frequency-division multiplexing (OFDM) in future communication systems…”
Get full text

DAE-TPGM: A deep autoencoder network based on a two-part-gamma model for analyzing single-cell RNA-seq data by Zhao, Shuchang, Zhang, Li, Liu, Xuejun

“… We introduced a deep autoencoder network based on a two-part-gamma model (DAE-TPGM…”
Get full text

Hybrid deep autoencoder network based adaptive cross guided bilateral filter for motion artifacts correction and denoising from MRI by Samuel, Shiju, Ochawar, Rohini S., Rukmini, M.S.S.

“…Removal of motion artifacts from medical images is essential, because the respiration by patient causes degradation in artifact removal. Therefore, getting an…”
Get full text

Performance Evaluation of Deep Autoencoder Network for Speech Emotion Recognition by AndleebSiddiqui, Maria, Hussain, Wajahat, Abbas, Syed, -, Danish-ur-Rehman

“…The learning methods with multiple levels of representation is called deep learning methods. The composition of simple but now linear modules results in…”
Get full text

A Design of Intrusion Detection using Modified Bat Algorithm and Deep Autoencoder Network by M.E., Soundari D.V, R, Kuralarasi, S, Kalieshwari, M, Kanimozhi, N, Kanimozhi

“…In this world, Intrusion Detection is more popular for preparing the network security systems. In current trend of increasing security system, there is a…”
Get full text

DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing by Su, Yuanchao, Li, Jun, Plaza, Antonio, Marinoni, Andrea, Gamba, Paolo, Chakravortty, Somdatta

“… In this paper, we develop a new technique for unsupervised unmixing which is based on a deep autoencoder network (DAEN…”
Get full text

Proximal Mapping-Incorporated Deep Autoencoder Network with Momentum Acceleration Method for Image Denoising by Zhao, Yang, Li, Ming, Huang, Meng, Zang, Qiyan, Wang, Lele, Zhang, Jian, Zhang, Heng

“… It adopts threefold ideas: 1) a deep autoencoder network that fully extracting latent features for precise reconstruction; 2…”
Get full text

Enhanced Short-Term GHI Prediction using Cloud-Aware Deep Autoencoder Network by N, Kalpalathika, Salih, Jumin, P, Lakshmi, Siddiqi, Nihal, A, Bhuvaneswari

“…Accurate short-term prediction of Global Horizontal Irradiance (GHI) is vital for reliable solar energy integration. This paper proposes a site-specific,…”
Get full text

A novel deep quantile matrix completion model for top-N recommendation by Yang, Mingming, Xu, Songhua

“…Matrix completion models have been receiving keen attention due to their wide applications in science and engineering. However, the majority of these models…”
Get full text