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检索条件"主题词=Variational autoencoder"
1569 条 记 录,以下是651-660 订阅
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Mammogram mass segmentation and classification based on cross-view VAE and spatial hidden factor disentanglement
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PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE 2024年 第1期47卷 223-238页
作者: Ma, Yingran Peng, Yanjun Shandong Univ Sci & Technol Coll Comp Sci & Engn Qingdao 266590 Peoples R China Shandong Univ Sci & Technol Shandong Prov Key Lab Wisdom Min Informat Technol Qingdao 266590 Peoples R China
Breast masses are the most important clinical findings of breast carcinomas. The mass segmentation and classification in mammograms remain a crucial yet challenging topic in computer-aided diagnosis systems, as the ma... 详细信息
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TransDiff: medical image segmentation method based on Swin Transformer with diffusion probabilistic model
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APPLIED INTELLIGENCE 2024年 第8期54卷 6543-6557页
作者: Liu, Xiaoxiao Zhao, Yan Wang, Shigang Wei, Jian Jilin Univ Sch Commun Engn Changchun 130012 Peoples R China
Medical image segmentation can provide a reliable basis for clinical analysis and diagnosis. However, this task is challenging due to the low contrast, boundary ambiguity between organs or lesions and surrounding tiss... 详细信息
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Offline Data-Driven Adaptive Critic Design With variational Inference for Wastewater Treatment Process Control
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IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2024年 第4期21卷 4987-4998页
作者: Qiao, Junfei Yang, Ruyue Wang, Ding Beijing Univ Technol Fac Informat Technol Beijing Key Lab Computat Intelligence & Intelligen Beijing Lab Smart Environm Protect Beijing 100124 Peoples R China Beijing Univ Technol Beijing Inst Artificial Intelligence Beijing 100124 Peoples R China
Wastewater treatment is indispensable to the functioning of urban society, and its optimal control has enormous social benefits. However, precise modelling of the unstable and complex treatment process is challenging ... 详细信息
来源: 评论
Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention
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IEEE ACCESS 2024年 12卷 101390-101406页
作者: El-Aziz, Eman Abd Fathalla, Radwa Ismail, Yasser Shaheen, Mohamed Arab Acad Sci Technol & Maritime Transport Coll Comp & IT Alexandria 21625 Egypt Southern Univ & A&M Coll Elect Engn Dept Baton Rouge LA 70807 USA
Detecting anomalous executions in business process data is crucial for safeguarding the efficiency and success of an organization. Unsupervised approaches are commonly used for business process anomaly detection becau... 详细信息
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GenCoder: A Generative AI-Based Adaptive Intra-Vehicle Intrusion Detection System
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IEEE ACCESS 2024年 12卷 150651-150663页
作者: Smolin, Mikhail Kyrgyz State Tech Univ Dept Appl Math & Comp Sci Bishkek 720044 Kyrgyzstan
With the rapid expansion of the vehicular cybersecurity (VCS) market and the increasing sophistication of cyberthreats, developing an adaptive intra-vehicular intrusion detection system (IDS) is crucial. This paper in... 详细信息
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Knowledge-embedding deep interpretable graph model for wear prediction: Application in pantograph-catenary systems
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RELIABILITY ENGINEERING & SYSTEM SAFETY 2025年 261卷
作者: Mo, Yutao Peng, Yizhen Wu, Jing Fan, Kangbo Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400044 Peoples R China Chongqing Rail Transit Grp Co LTD Chongqing 400042 Peoples R China
The wear modeling and life prediction of pantographs are crucial for ensuring the safety and reliability of urban rail transit systems. However, because of the complex interplay between stochastic vibrations and elect... 详细信息
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Cross-modality domain adaptation for mechanical anomaly detection: A von mises-fisher VAE with enhanced interpretability
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EXPERT SYSTEMS WITH APPLICATIONS 2025年 290卷
作者: Wan, Haiyang Li, Weihua Luo, Xing Luo, Weichao Jiao, Jian Li, Jipu Zhang, Bin Chen, Zhuyun South China Univ Technol Guangzhou 510640 Peoples R China PengCheng Lab Shenzhen 518055 Peoples R China Guangdong Univ Technol State Key Lab Precis Elect Mfg Technol & Equipment Guangzhou 510006 Peoples R China Hong Kong Polytech Univ Dept Ind & Syst Engn Hong Kong Peoples R China
Deep learning has shown great promise in mechanical fault detection, yet many existing methods struggle to adapt across varying operating conditions and often lack transparency in their decision-making processes. To o... 详细信息
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DiffuseVAE plus plus : Mitigating training-sampling mismatch based on additional noise for higher fidelity image generation
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NEUROCOMPUTING 2025年 633卷
作者: Yang, Xiaobao Luo, Wei Ning, Hailong Zhang, Guorui Sun, Wei Ma, Sugang Xian Univ Posts & Telecommun Sch Comp Sci & Technol Xian Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China
Denoising Diffusion Probabilistic Models (DDPMs) have demonstrated remarkable results in image generation. However, there exist a mismatch between the training and sampling process in current diffusion models, in addi... 详细信息
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Generative-based hybrid model with semantic representations for generalized zero-shot learning
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SIGNAL IMAGE AND VIDEO PROCESSING 2025年 第1期19卷 1-12页
作者: Akdemir, Emre Barisci, Necaattin Gazi Univ Grad Sch Informat Dept Comp Sci Ankara Turkiye Minist Natl Educ Directorate Gen Informat Technol Ankara Turkiye Gazi Univ Fac Technol Dept Comp Engn Ankara Turkiye
Generalized Zero-Shot Learning (GZSL) endeavors to recognize instances of seen and unseen classes using semantic information and labeled instances of only seen classes. In addressing the data imbalance problem in GZSL... 详细信息
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Uncertainty quantification for variational Bayesian dropout based deep bidirectional LSTM networks
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2025年 第5期39卷 2021-2038页
作者: Sardar, Iqra Noor, Farzana Iqbal, Muhammad Javed Alsanad, Ahmed Akbar, Muhammad Azeem Int Islamic Univ Dept Math & Stat Islamabad 44000 Pakistan Univ Engn & Technol Taxila Dept Comp Sci Taxila 47050 Pakistan King Saud Univ Coll Comp & Informat Sci STCs Artificial Intelligence Chair Dept Informat Syst Riyadh 11451 Saudi Arabia Lappeenranta Lahti Univ Technol Software Engn Dept Lappeenranta 53851 Finland
Time series classification is a critical task in various domains, requiring robust models to handle inherent uncertainties in temporal data. These uncertainties, categorized as aleatoric and epistemic, pose significan... 详细信息
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