Unsupervised Multi-Level Feature Extraction for Improvement of Hyperspectral Classification di Qiaoqiao Sun, Xuefeng Liu, Salah Bourennane

Soggetti: Testo

RANet: Relationship Attention for Hyperspectral Anomaly Detection di Yingzhao Shao, Yunsong Li, Li Li, Yuanle Wang, Yuchen Yang, Yueli Ding, Mingming Zhang, Yang Liu, Xiangqiang Gao

Soggetti: Testo

A Hybrid Autoencoder Network for Unsupervised Image Clustering di Pei-Yin Chen, Jih-Jeng Huang

Soggetti: Testo

EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection di Yufei Liu, Xiaorun Li, Ziqiang Hua, Liaoying Zhao

Soggetti: Testo

River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model di Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

Soggetti: Testo

Multi-perspective Learning Based on Transformer for Stock Price Trend di Xiliang Li, Shuoru Chen, Xiaoyan Qiao, Mingli Zhang, Caiming Zhang, Feng Zhao

Soggetti: Testo

Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments di Reenu Mohandas, Patrick Mongan, Martin Hayes

Soggetti: Testo

Multi-Aspect Convolutional-Transformer Network for SAR Automatic Target Recognition di Siyuan Li, Zongxu Pan, Yuxin Hu

Soggetti: Testo

Prediction of Contact Fatigue Performance Degradation Trends Based on Multi-Domain Features and Temporal Convolutional Networks di Yu Liu, Yuanbo Liu, Yan Yang

Soggetti: Testo

A study on hybrid-architecture deep learning model for predicting pressure distribution in 2D airfoils di Jaehyun Yoon, Jaehyeok Doh

Soggetti: “...Convolutional autoencoder (CAE)...”
Testo

Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data di Subir Paul, Vinayaraj Poliyapram, Nevrez Imamoglu, Kuniaki Uto, Ryosuke Nakamura, D. Nagesh Kumar

Soggetti: Testo

Seismic Data Compression Using Deep Learning di Emad B. Helal, Omar M. Saad, Ali G. Hafez, Yangkang Chen, Gamal M. Dousoky

Soggetti: “...Convolutional autoencoders (CAE)...”
Testo

Defect Detection for Enhanced Traceability in Naval Construction di Paula Arcano-Bea, Manuel Rubiños, Agustín García-Fischer, Francisco Zayas-Gato, José Luis Calvo-Rolle, Esteban Jove

Soggetti: “...convolutional autoencoders (CAEs)...”
Testo