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检索条件"主题词=Convolutional variational autoencoder"
29 条 记 录,以下是21-30 订阅
排序:
CVAE-DF: A hybrid deep learning framework for fertilization status detection of pre-incubation duck eggs based on VIS/NIR spectroscopy
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024年 320卷 124569页
作者: Wang, Dongqiao Wang, Qiaohua Chen, Zhuoting Guo, Juncai Li, Shijun Huazhong Agr Univ Coll Engn Wuhan 430070 Peoples R China Minist Agr & Rural Agr Key Lab Agr Equipment Midlower Yangtze River Wuhan 430070 Peoples R China Wuhan Univ Sch Comp Sci Wuhan 430072 Peoples R China Huazhong Agr Univ Coll Anim Sci & Vet Med Key Lab Agr Anim Genet Breeding & Reprod Minist Educ Wuhan 430070 Peoples R China
Unfertilized duck eggs not removed prior to incubation will deteriorate quickly, posing a risk of contaminating the normally fertilized duck eggs. Thus, detecting the fertilization status of breeding duck eggs as earl... 详细信息
来源: 评论
A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision
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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2024年 210卷
作者: Hurtado, A. Calderon Alamdari, M. Makki Atroshchenko, E. Chang, K. C. Kim, C. W. Univ New South Wales Ctr Infrastruct Engn & Safety Sch Civil & Environm Engn Sydney NSW 2052 Australia Kyoto Univ Grad Sch Engn Dept Civil & Earth Resources Engn Kyoto 6158540 Japan
In recent years, researchers have extensively explored the application of drive -by inspection technology for bridge damage assessment. This approach involves using the response of a sensing vehicle to identify damage... 详细信息
来源: 评论
Characterization of discrete fracture networks with deep-learning based hydrogeophysical inversion
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JOURNAL OF HYDROLOGY 2024年 631卷
作者: Deng, Yaping Kang, Xueyuan Ma, Haichun Qian, Jiazhong Ma, Lei Luo, Qiankun Hefei Univ Technol Sch Resources & Environm Engn Hefei 230009 Peoples R China Nanjing Univ Sch Earth Sci & Engn Key Lab Surficial Geochem Minist Educ Nanjing 210023 Peoples R China
Characterization of fracture network is essential for understanding groundwater flow and solute transport, as well as waste storage. Deep -learning based ensemble smoother methods have proven to be effective in estima... 详细信息
来源: 评论
Unsupervised Pre-Training of Imbalanced Data for Identification of Wafer Map Defect Patterns
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IEEE ACCESS 2021年 9卷 52352-52363页
作者: Shon, Ho Sun Batbaatar, Erdenebileg Cho, Wan-Sup Choi, Seong Gon Chungbuk Natl Univ Res Inst Comp & Informat Commun Cheongju 28644 South Korea Chungbuk Natl Univ Sch Elect Comp Engn Cheongju 28644 South Korea Chungbuk Natl Univ Dept Management Informat Syst Cheongju 28644 South Korea Chungbuk Natl Univ Sch Informat & Commun Engn Cheongju 28644 South Korea
Visual defect inspection and classification are significant steps of most manufacturing processes in the semiconductor and electronics industries. Known and unknown defects on wafer maps tend to cluster, and these spa... 详细信息
来源: 评论
Comparison of an Automatic Classification of Partial Dischage Patterns for Large Hydrogenerator
Comparison of an Automatic Classification of Partial Dischag...
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IEEE International Conference on Prognostics and Health Management (ICPHM)
作者: Kokoko, Olivier Hudon, Claude Levesque, Melanie Amyot, Normand Zemouri, Ryad IREQ Hydro Quebec Varennes PQ Canada 1IREQ Hydro Quebec Varennes PQ Canada CNAM CEDRIC Lab Paris France
More and more scientific disciplines are using deep techniques for the automatic classification of massive high dimensionality unlabeled data. Among these disciplines, the classification of partial discharge (PD) patt... 详细信息
来源: 评论
Learning Latent Representation of Freeway Traffic Situations from Occupancy Grid Pictures Using variational autoencoder
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ENERGIES 2021年 第17期14卷 5232-5232页
作者: Rakos, Oliver Becsi, Tamas Aradi, Szilard Gaspar, Peter Budapest Univ Technol & Econ Dept Control Transportat & Vehicle Syst H-1111 Budapest Hungary Inst Comp Sci & Control Syst & Control Lab H-1111 Budapest Hungary
Several problems can be encountered in the design of autonomous vehicles. Their software is organized into three main layers: perception, planning, and actuation. The planning layer deals with the sort and long-term s... 详细信息
来源: 评论
Normal Appearance autoencoder for Lung Cancer Detection and Segmentation  22nd
Normal Appearance Autoencoder for Lung Cancer Detection and ...
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10th International Workshop on Machine Learning in Medical Imaging (MLMI) / 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
作者: Astaraki, Mehdi Toma-Dasu, Iuliana Smedby, Orjan Wang, Chunliang KTH Royal Inst Technol Dept Biomed Engn & Hlth Syst Halsovagen 11C S-14157 Huddinge Sweden Karolinska Univ Sjukhuset Karolinska Inst Dept Oncol Pathol S-17176 Solna Sweden
One of the major differences between medical doctor training and machine learning is that doctors are trained to recognize normal/healthy anatomy first. Knowing the healthy appearance of anatomy structures helps docto... 详细信息
来源: 评论
DEEP variational FILTER LEARNING MODELS FOR SPEECH RECOGNITION  44
DEEP VARIATIONAL FILTER LEARNING MODELS FOR SPEECH RECOGNITI...
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44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Agrawal, Purvi Ganapathy, Sriram Indian Inst Sci Elect Engn LEAP Lab Bangalore Karnataka India
We present a novel approach to derive robust speech representations for automatic speech recognition (ASR) systems. The proposed method uses an unsupervised data-driven modulation filter learning approach that preserv... 详细信息
来源: 评论
Unsupervised Raw Waveform Representation Learning for ASR  20
Unsupervised Raw Waveform Representation Learning for ASR
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Interspeech Conference
作者: Agrawal, Purvi Ganapathy, Sriram Indian Inst Sci Learning & Extract Acoust Patterns LEAP Lab Dept Elect Engn Bengaluru 560012 India
In this paper, we propose a deep representation learning approach using the raw speech waveform in an unsupervised learning paradigm. The first layer of the proposed deep model performs acoustic filtering while the su... 详细信息
来源: 评论