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检索条件"主题词=autoencoder"
4244 条 记 录,以下是381-390 订阅
排序:
Zoom-Based autoencoder for Origin-Destination Demand Prediction  20th
Zoom-Based AutoEncoder for Origin-Destination Demand Predict...
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20th Pacific Rim International Conference on Artificial Intelligence
作者: Ma, Xiaojian Han, Liangzhe Wang, Gang Liu, Xu Zhu, Tongyu Beihang Univ State Key Lab Software Dev Environm Beijing 100191 Peoples R China Minist Transport PRC Highway Monitoring & Emergency Response Ctr Beijing 100029 Peoples R China Tsinghua Univ Sch Vehicle & Mobil Beijing 100084 Peoples R China
The use of deep neural networks for traffic demand forecasting has garnered significant attention from both academic and industrial communities. Compared with the traditional traffic flow forecasting task, the Origin-... 详细信息
来源: 评论
Multi-objective topology optimization of synchronous reluctance motor with autoencoder simultaneously considering material selection and shape change  21
Multi-objective topology optimization of synchronous relucta...
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IEEE 21st Biennial Conference on Electromagnetic Field Computation (IEEE CEFC)
作者: Kishi, Masahiro Wakao, Shinji Murata, Noboru Makino, Hiroaki Takeuchi, Katsutoku Matsushita, Makoto Waseda Univ Dept Elect Engn & Biosci Tokyo Japan Toshiba Infrastruct Syst & Solut Corp Tokyo Japan
Generally, the optimal shape depends on the characteristics of the magnetic materials used. In this study, we propose an efficient multi-objective topology optimization method that simultaneously considers material se... 详细信息
来源: 评论
Feature Extraction of fMRI Signals Based on autoencoder for Constructing a Two-Stage Multi-class Emotion Classification Model  6th
Feature Extraction of fMRI Signals Based on Autoencoder for ...
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6th International Conference on Biomedical and Health Informatics-ICBHI
作者: Chang, Chi-Sheng Lu, Shao-Pu Lee, Chia-Yen Natl United Univ Dept Elect Engn Miaoli Taiwan Natl Yang Ming Chiao Tung Univ Inst Biomed Engn Hsinchu Taiwan
This study utilizes the pre-processed fMRI data provided by the 2024 ICBHI challenge and excludes two other signal data types with missing information to construct a CNN model that can distinguish three emotion classe... 详细信息
来源: 评论
A Hybrid LSTM-autoencoder Based Approach for Network Anomaly Detection System in IoT Environments
A Hybrid LSTM-Autoencoder Based Approach for Network Anomaly...
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IEEE International Mediterranean Conference on Communications and Networking (IEEE MeditCom)
作者: Touileb, Lyna Zekri, Kaouthar Bradai, Abbas Pousset, Yannis Point, Jean Charles Univ Poitiers XLIM Lab Poitiers France SODIRA Connect Co Cesson Sevigne France Univ Cote dAzur Nice France
In the evolving landscape of the Internet of Things (IoT), the susceptibility to cyber threats is widespread, emphasizing the critical need for robust security measures. This paper introduces an innovative anomaly det... 详细信息
来源: 评论
Design Considerations for Denoising Quantum Time Series autoencoder  24th
Design Considerations for Denoising Quantum Time Series Auto...
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24th International Conference on Computational Science (ICCS)
作者: Cybulski, Jacob L. Zajac, Sebastian Deakin Univ Melbourne Vic Australia SGH Warsaw Sch Econ Warsaw Poland
This paper explains the main design decisions in the development of variational quantum time series models and denoising quantum time series autoencoders. Although we cover a specific type of quantum model, the proble... 详细信息
来源: 评论
An autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning  59
An Autoencoder-Based Constellation Design for AirComp in Wir...
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59th Annual IEEE International Conference on Communications (IEEE ICC)
作者: Mu, Yujia Wei, Xizixiang Shen, Cong Univ Virginia Charles L Brown Dept Elect & Comp Engn Charlottesville VA 22903 USA
Wireless federated learning (FL) relies on efficient uplink communications to aggregate model updates across distributed edge devices. Over-the-air computation (a.k.a. AirComp) has emerged as a promising approach for ... 详细信息
来源: 评论
ARFA: AN ASYMMETRIC RECEPTIVE FIELD autoencoder MODEL FOR SPATIOTEMPORAL PREDICTION  49
ARFA: AN ASYMMETRIC RECEPTIVE FIELD AUTOENCODER MODEL FOR SP...
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49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Zhang, Wenxuan Zou, Xuechao Wu, Li Wang, Xiaoying Huang, Jianqiang Xing, Junliang Qinghai Univ Dept Comp Technol & Applicat Xining Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China
Spatiotemporal prediction aims to generate future sequences by paradigms learned from historical contexts. It is essential in numerous domains, such as traffic flow prediction and weather forecasting. Recently, resear... 详细信息
来源: 评论
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using autoencoder Reconstruction Error
AEROBLADE: Training-Free Detection of Latent Diffusion Image...
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Ricker, Jonas Lukovnikov, Denis Fischer, Asja Ruhr Univ Bochum Bochum Germany
With recent text-to-image models, anyone can generate deceptively realistic images with arbitrary contents, fueling the growing threat of visual disinformation. A key enabler for generating high- resolution images wit... 详细信息
来源: 评论
Detecting Brain Tumor Stages using Convolutional autoencoder (CAE) with Hybrid Deep Learning Method  2
Detecting Brain Tumor Stages using Convolutional AutoEncoder...
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2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
作者: Agalya, D. Kamalakkannan, S. Vels Inst Sci Technol & Adv Studies Sch Comp Sci Dept Comp Sci Chennai Tamil Nadu India
The Brain Tumor (BT) is the formation of abnormal brain cells, few of which can develop into cancer. Early and prompt detection of disease and development of treatment strategies improve patients' wellbeing and li... 详细信息
来源: 评论
Automatic reconstruction and separation of each constituent's absorption and scattering properties using a customized autoencoder neural network  3
Automatic reconstruction and separation of each constituent'...
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Conference on Tissue Optics and Photonics III
作者: Ni, Dongqin Karman, Niklas Hohmann, Martin Friedrich Alexander Univ Erlangen Nurnberg Inst Photon Technol LPT Konrad Zuse Str 3-5 D-91052 Erlangen Germany Erlangen Grad Sch Adv Optic Technol SAOT Paul Gordon Str 6 D-91052 Erlangen Germany
Investigating optical properties (OPs) is crucial in the field of biophotonics. Various techniques are available for deriving OPs, with inverse Monte Carlo simulations (IMCS) being the most advanced for ex-vivo contex... 详细信息
来源: 评论