Search Results - "3D convolutional autoencoder"

Intelligent Complementary Multi-Modal Fusion for Anomaly Surveillance and Security System by Jeong, Jae-hyeok, Jung, Hwan-hee, Choi, Yong-hoon, Park, Seong-hee, Kim, Min-suk

“…Recently, security monitoring facilities have mainly adopted artificial intelligence (AI) technology to provide both increased security and improved…”
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Transformer-based factorized encoder for classification of pneumoconiosis on 3D CT images by Huang, Yingying, Si, Yang, Hu, Bingliang, Zhang, Yan, Wu, Shuang, Wu, Dongsheng, Wang, Quan

“…In the past decade, deep learning methods have been implemented in the medical image fields and have achieved good performance. Recently, deep learning…”
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Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO3 by Hirotaka Manaka, Shoutarou Katayama, Soichiro Honda, Yoko Miura

“…Optical microscopy is vital in many scientific fields, and various super-resolution techniques have been developed to overcome the resolution limit that…”
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Explainable machine learning algorithm predicting working memory performance in Parkinson’s disease using task-fMRI by Yasuda, Eiji, Hattori, Takaaki, Shimano, Kaoru, Hase, Takeshi, Oyama, Jun, Yamagiwa, Ken, Kawauchi, Miho, Horovitz, Silvina G., Lungu, Codrin, Matsuzawa, Hitoshi, Hallett, Mark

“…Background Parkinson’s disease (PD) is a neurodegenerative disorder that affects both motor and cognitive functions, particularly working memory (WM). Machine…”
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Spatial–Spectral Joint Hyperspectral Anomaly Detection Based on a Two-Branch 3D Convolutional Autoencoder and Spatial Filtering by Lv, Shuai, Zhao, Siwei, Li, Dandan, Pang, Boyu, Lian, Xiaoying, Liu, Yinnian

“…Hyperspectral anomaly detection (HAD) is an important application of hyperspectral images (HSI) that can distinguish anomalies from background in an…”
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Fast simulation of high resolution urban wind fields at city scale by Xiang, Songlin, Zhou, Jingcheng, Fu, Xiangwen, Zheng, Leyi, Wang, Yuqing, Zhang, Yizhou, Yi, Kan, Liu, Junfeng, Ma, Jianmin, Tao, Shu

“…High resolution urban wind field simulations are limited in small simulation domain, short simulation period, or stable boundary conditions due to the high…”
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A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies by Thadikemalla, Venkata Sainath Gupta, Focke, Niels K., Tummala, Sudhakar

“…This paper presents a fully automated pipeline using a sparse convolutional autoencoder for quality control (QC) of affine registrations in large-scale…”
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Multi-Stream 3D latent feature clustering for abnormality detection in videos by Asad, Mujtaba, Jiang, He, Yang, Jie, Tu, Enmei, Malik, Aftab Ahmad

“…Detection of abnormal behavior in surveillance videos is essential for public safety and monitoring. However, it needs constant human focus and attention for…”
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