Výsledky vyhledávání - "encoder and decoder model"

CNN based encoder and decoder model for sign language communication

Autoři: S Preethi T Meeradevi V Sathya Narayanan a další

Zdroj: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). :1-5

Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code

Autoři: Badawi, Bakri

Témata: QR codes, Coding theory, Thesis, NonPeerReviewed

URL: http://psasir.upm.edu.my/id/eprint/104065/1/FSKTM%202022%2016%20IR.pdf
http://psasir.upm.edu.my/id/eprint/104065/
http://psasir.upm.edu.my/id/eprint/104065

A Graph Convolutional Encoder and Decoder Model for Rumor Detection

Autoři: Xianghua Fu Xi Zhang Hongbin Lin

Zdroj: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/dsaa/dsaa2020.html#LinZF20

Short-Term Load Forecasting Using an Attended Sequential Encoder-Stacked Decoder Model with Online Training

Autoři: Sylwia Henselmeyer Marcin Grzegorzek

Zdroj: Applied Sciences, Vol 11, Iss 11, p 4927 (2021)

Témata: short-term load forecast, Artificial Neural Network, deep neural network, recurrent neural network, attention, encoder decoder, 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/2076-3417/11/11/4927; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/c234bf0c7b2a49d5877851fab5544408

Time Series Prediction Based on LSTM-Attention-LSTM Model

Autoři: Xianyun Wen Weibang Li

Zdroj: IEEE Access, Vol 11, Pp 48322-48331 (2023)

Témata: attention mechanisms, long short-term memory networks, Time series forecasting, Electrical engineering. Electronics. Nuclear engineering, encoder and decoder model, TK1-9971

Přístupová URL adresa: https://doaj.org/article/a0f2861a315340bcbb4f985c015da50e

A Convolutional Encoder and Decoder Model in SpecC

Autoři: Siwen Sun Rainer Dömer The Pennsylvania State University CiteSeerX Archives

Přispěvatelé: Siwen Sun Rainer Dömer The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cecs.uci.edu/~doemer/publications/CECS_TR_08_03.pdf.

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.6796; http://www.cecs.uci.edu/~doemer/publications/CECS_TR_08_03.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.6796
http://www.cecs.uci.edu/~doemer/publications/CECS_TR_08_03.pdf

Short-Term Load Forecasting Using an Attended Sequential Encoder-Stacked Decoder Model with Online Training.

Autoři: Henselmeyer, Sylwia Grzegorzek, Marcin

Zdroj: Applied Sciences (2076-3417); Jun2021, Vol. 11 Issue 11, p4927, 15p

Témata: ONLINE education, INDEPENDENT system operators, LOAD forecasting (Electric power systems), FORECASTING, ZONING, RECURRENT neural networks

Geografický termín: NEW York (N.Y.)

TFF-temporal fusion framework for advancing video retrieval through long-range dependencies and multi-modal intent.

Autoři: Singh, Pratibha Chakrawal, Kashvi Kushwaha, Alok Kumar Singh

Zdroj: Machine Vision & Applications. May2025, Vol. 36 Issue 3, p1-15. 15p.

Code Annotation Automatic Generation Based on Structure Aware Dual Encoder

Autoři: XU Shaofeng, PAN Wentao, XIONG Yun, ZHU Yangyong

Zdroj: Jisuanji gongcheng, Vol 46, Iss 2, Pp 304-308,314 (2020)

Témata: code annotation generation, abstract syntax tree, dual encoder and decoder model, convolutional neural network(cnn), recurrent neural network(rnn), Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20200245.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/59d28103e04d4773a2f975771262f74b

Encoder-Memory-Decoder Model for Long Conversation Dialogue System

Autoři: Changliang Li Wiuying wang Jian Cheng a další

Relation: http://ir.ia.ac.cn/handle/173211/41048

Dostupnost: http://ir.ia.ac.cn/handle/173211/41048

CancerSeg-XA: Enhanced Breast Cancer Histopathology Segmentation Using Xception Backbone with Attention Mechanisms.

Autoři: Mohamed Youssef, Alaa Hassan El Behaidy, Wessam Abdel-Haleim Abdel-Razik Youssif, Aliaa

Zdroj: Journal of Communications Software & Systems; Mar2025, Vol. 21 Issue 1, p79-89, 11p

Témata: BREAST cancer, CANCER diagnosis, DEEP learning, SPINE, CLINICAL medicine, BREAST

TinyPredNet: A Lightweight Framework for Satellite Image Sequence Prediction.

Autoři: Dai, Kuai Li, Xutao Lin, Huiwei a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; May2024, Vol. 20 Issue 5, p1-24, 24p

Témata: REMOTE-sensing images, LANDSAT satellites, DEEP learning, FORECASTING, MOTION capture (Human mechanics), NATURAL satellites

Focus on Hard Areas of Reconstruction: A Fine‐Grained Urban Flow Inference Framework.

Autoři: Zhang, Yifan Yu, Wenhao Zhao, Xinru a další

Zdroj: Transactions in GIS. May2025, Vol. 29 Issue 3, p1-17. 17p.

Témata: *SPATIAL variation, *GEOGRAPHIC spatial analysis, *STATISTICAL models

Edge-Enhanced TempoFuseNet: A Two-Stream Framework for Intelligent Multiclass Video Anomaly Recognition in 5G and IoT Environments.

Autoři: Saleem, Gulshan Bajwa, Usama Ijaz Raza, Rana Hammad a další

Zdroj: Future Internet; Mar2024, Vol. 16 Issue 3, p83, 17p

Témata: VIDEO surveillance, CONVOLUTIONAL neural networks, INTERNET of things, 5G networks, OPTICAL flow, FEATURE extraction

A Nested U-Net with Efficient Channel Attention and D3Net for Speech Enhancement.

Autoři: Yechuri, Sivaramakrishna Vanambathina, Sunnydayal

Zdroj: Circuits, Systems & Signal Processing; Jul2023, Vol. 42 Issue 7, p4051-4071, 21p

Témata: SPEECH enhancement, AUTOMATIC speech recognition, FEATURE extraction, INTELLIGIBILITY of speech, NETWORK performance

Forest Vertical Structure Mapping Using Multi-Seasonal UAV Images and Lidar Data via Modified U-Net Approaches.

Autoři: Yu, Jin-Woo Jung, Hyung-Sup

Zdroj: Remote Sensing; Jun2023, Vol. 15 Issue 11, p2833, 16p

Témata: LANDSAT satellites, DIGITAL elevation models, LIDAR, DRONE aircraft, FOREST biodiversity, GLOBAL warming

Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics.

Autoři: Deo, Indu Kant Gao, Rui Jaiman, Rajeev

Zdroj: Physics of Fluids; Apr2023, Vol. 35 Issue 4, p1-15, 15p

Témata: REDUCED-order models, FLUID dynamics, LAMINAR flow, NAVIER-Stokes equations, THREE-dimensional modeling

Self-supervised Transformer for 3D point clouds completion and morphology evaluation of granular particle.

Autoři: Zhang, Haoran Yin, Zhen-Yu Zhang, Ning a další

Zdroj: Applied Soft Computing. May2025, Vol. 176, pN.PAG-N.PAG. 1p.

Témata: Point cloud, Granular materials, K-nearest neighbor classification, Transformer models, Error rates

Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement

Autoři: Haider, Daniel Perfler, Felix Lostanlen, Vincent a další

Témata: Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing, text

URL: http://arxiv.org/abs/2408.17358

Dynamically Fine-Tuned Neural Compressor for FDD Massive MIMO CSI Feedback

Autoři: Sattari, Mehdi Gunduz, Deniz Svensson, Tommy

Zdroj: 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC). :1-5