Výsledky vyhledávání - Auto Decoder Encoder

Explainable probabilistic forecasting for time series in supply chains: a latent auto-encoder approach.

Autoři: Hu, Hao Wu, Yuting Shi, Zhengxin a další

Zdroj: International Journal of Production Research. Aug2025, p1-21. 21p. 13 Illustrations.

Témata: *SUPPLY chain management, *FORECASTING, *INVENTORY control, *TIME series analysis, LATENT variables

Geografický termín: CHINA

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

Autoři: Karbasi, Masoud Jamei, Mehdi Ali, Mumtaz a další

Zdroj: Computers and Electronics in Agriculture. 198:107121

Témata: FAO-56 Penman-Monteith, 13. Climate action, Bi-LSTM, 0208 environmental biotechnology, 0207 environmental engineering, Reference evapotranspiration, 02 engineering and technology, Auto Decoder Encoder, Boruta-Catboost, 7. Clean energy, 6. Clean water, Forecasting

Image-To-Image Translation Using a Cross-Domain Auto-Encoder and Decoder

Autoři: Jaechang Yoo Heesong Eom Yong Suk Choi

Zdroj: Applied Sciences, Vol 9, Iss 22, p 4780 (2019)

Témata: image-to-image translation, encoder-decoder, deep learning, feature mapping layer, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/9/22/4780; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/c2b7c4fb98824ad78a77dfa48ded0a9d

High Speed Decoding for High-Rate and Short-Length Reed–Muller Code Using Auto-Decoder

Autoři: Hyun Woo Cho Young Joon Song

Zdroj: Applied Sciences, Vol 12, Iss 18, p 9225 (2022)

Témata: Reed–Muller (RM) code, machine learning, auto-decoder, auto-encoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/18/9225; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/a7772e7210534b8593cee37f7ce41aa0

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

Autoři: M Karbasi M Jamei M Ali a další

Témata: Agriculture, Multidisciplinary, ALGORITHM, Auto Decoder Encoder, Bi-LSTM, Boruta-Catboost, Computer Science, Interdisciplinary Applications, FAO-56 Penman-Monteith, Forecasting, GAUSSIAN PROCESS REGRESSION, Life Sciences & Biomedicine, LIMITED METEOROLOGICAL DATA, MULTISTEP, NEURAL-NETWORKS, REFERENCE CROP EVAPOTRANSPIRATION, Reference evapotranspiration, Science & Technology, SVM, Technology

Relation: http://hdl.handle.net/10779/DRO/DU:21063733.v2

Dostupnost: http://hdl.handle.net/10779/DRO/DU:21063733.v2
https://figshare.com/articles/journal_contribution/Forecasting_weekly_reference_evapotranspiration_using_Auto_Encoder_Decoder_Bidirectional_LSTM_model_hybridized_with_a_Boruta-CatBoost_input_optimizer/21063733

Attention-based encoder-decoder models for speech processing

Autoři: Li, Qiujia Woodland, Phil

Přispěvatelé: Li, Qiujia Woodland, Phil

Témata: Speech Processing, Machine Learning, Deep Neural Network, Attention-Based Encoder-Decoder Model, Speech Recognition, Confidence Estimation, Speaker Diarisation

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.866942

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors

Autoři: Ristea, Nicolae-Catalin Croitoru, Florinel-Alin Ionescu, Radu Tudor a další

Zdroj: 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) IEEE Conference on Computer Vision and Pattern Recognition. :15984-15995

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-211083

Image-To-Image Translation Using a Cross-Domain Auto-Encoder and Decoder.

Autoři: Yoo, Jaechang Eom, Heesong Choi, Yong Suk

Zdroj: Applied Sciences (2076-3417); Nov2019, Vol. 9 Issue 22, p4780, 16p

Témata: TRANSLATIONS, DEEP learning

Variational Auto-Decoder: A Method for Neural Generative Modeling from Incomplete Data

Autoři: Zadeh, Amir Lim, Yao-Chong Liang, Paul Pu a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1903.00840

Cross-attention Masked Auto-Encoder for Human 3D Motion Infilling and Denoising

Autoři: Björkstrand, David Sullivan, Josephine, Prof. Bretzner, Lars a další

Témata: 3D Human pose estimation, Computer Science, Datalogi

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-352209
https://proceedings.bmvc2023.org/609/

Image Separation With Side Information: A Connected Auto-Encoders Based Approach.

Autoři: Pu, Wei Sober, Barak Daly, Nathan a další

Zdroj: IEEE Transactions on Image Processing. 2023, Vol. 32, p2931-2946. 16p.

Témata: *ARTIFICIAL neural networks, X-ray imaging, MACHINE learning, THRESHOLDING algorithms, CONVOLUTIONAL neural networks

Wavelet-Based Deep Auto Encoder-Decoder (WDAED)-Based Image Compression.

Autoři: Mishra, Dipti Singh, Satish Kumar Singh, Rajat Kumar

Zdroj: IEEE Transactions on Circuits & Systems for Video Technology. Apr2021, Vol. 31 Issue 4, p1452-1462. 11p.

Témata: *ALGORITHMS, WAVELET transforms, SIGNAL convolution, IMAGE compression, MACHINE learning

Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height.

Autoři: Karbasi, Masoud Jamei, Mehdi Ali, Mumtaz a další

Zdroj: Journal of Cleaner Production. Dec2022:Part 2, Vol. 380, pN.PAG-N.PAG. 1p.

Témata: *RENEWABLE energy sources, *FORECASTING, *TIME series analysis, *ENERGY consumption, WAVELET transforms, OCEAN temperature, REGRESSION trees

Geografický termín: TOWNSVILLE (Qld.), AUSTRALIA

MMIF-VAEFusion: An end-to-end multi-modal medical image fusion network using vector quantized variational auto-encoder.

Autoři: Feng, Xin Yang, Jieming Qiu, Guohang a další

Zdroj: Biomedical Signal Processing & Control. Apr2025, Vol. 102, pN.PAG-N.PAG. 1p.

Témata: Image fusion, Diagnostic imaging, Autodidacticism, Clinical medicine, Deep learning, Generalization

Inferring contextual preferences using deep encoder-decoder learners.

Autoři: Unger, Moshe Shapira, Bracha Rokach, Lior a další

Zdroj: New Review of Hypermedia & Multimedia. Sep2018, Vol. 24 Issue 3, p262-290. 29p.

Témata: *Information storage & retrieval systems, *Encoding, Context-aware computing, Deep learning, Cell phones

Convolutional Auto-Encoder and Adversarial Domain Adaptation for Cross-Corpus Speech Emotion Recognition

Autoři: Hongliang FU Hongyi GE Huawei TAO a další

Zdroj: IEICE Transactions on Information and Systems. 2022, E105.D(10):1803

Analysis of spatial-temporal dynamics of cool flame oscillation phenomenon occurred around a fuel droplet array by using variational auto-encoder.

Autoři: Iemura, Kazuki Saito, Masanori Suganuma, Yusuke a další

Zdroj: Proceedings of the Combustion Institute. 2023, Vol. 39 Issue 2, p2523-2532. 10p.

Encoder-Decoder Architecture for Image Steganography using Skip Connections.

Autoři: Kumar, Akshay Rani, Rajneesh Singh, Samayveer

Zdroj: Procedia Computer Science. 2023, Vol. 218, p1122-1131. 10p.

Témata: Cryptography, Feature extraction, Technological innovations, Data security, Signal-to-noise ratio, Convolutional neural networks

Convolutional auto-encoder based multiple description coding network.

Autoři: Lili Meng Hongfei Li Jia Zhang a další

Zdroj: KSII Transactions on Internet & Information Systems. Apr2020, Vol. 14 Issue 4, p1689-1703. 15p. 1 Black and White Photograph, 2 Diagrams, 1 Graph.

Témata: Linear network coding, Image compression, Data packeting

Dual Auto-Encoder GAN-Based Anomaly Detection for Industrial Control System

Autoři: Lei Chen Yuan Li Xingye Deng a další

Zdroj: Applied Sciences, Vol 12, Iss 10, p 4986 (2022)

Témata: anomaly detection, dual GAN, auto-encoder, industrial control system, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/10/4986; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/fb73f657fb50465a947a66fc794581b1