Výsledky vyhľadávania - "Deep encoder–decoder architecture"

Two-stream deep encoder-decoder architecture for fully automatic video object segmentation

Autori: Jingwei Xu Li Song Rong Xie

Zdroj: 2017 IEEE Visual Communications and Image Processing (VCIP).

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 14. Life underwater

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/vcip/vcip2017.html#XuSX17
https://doi.org/10.1109/VCIP.2017.8305089

Opinion-unaware blind picture quality measurement using deep encoder–decoder architecture

Autori: Ting Luo Xi Zhou Jingsheng Lei a ďalší

Zdroj: Digital Signal Processing. 107:102834

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://www.sciencedirect.com/science/article/abs/pii/S1051200420301792
https://dblp.uni-trier.de/db/journals/dsp/dsp107.html#ZhouLZLYL20

Semantic Learning for Molecular Communication in Internet of Bio-Nano Things

Autori: Cai, Hanlin Akan, Ozgur B.

Témy: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Emerging Technologies, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2502.08426

Hourglass 3D CNN for Stereo Disparity Estimation for Mobile Robots.

Autori: La, Thai Tao, Linh Minh Tran, Chanh a ďalší

Zdroj: Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 19, p10677, 11p

Predmety: CONVOLUTIONAL neural networks, MOBILE robots, STEREOSCOPIC cameras, FEATURE extraction, CONTEXTUAL learning

A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects.

Autori: Yan, Xiongfeng Yang, Min

Zdroj: ISPRS International Journal of Geo-Information; Oct2022, Vol. 11 Issue 10, p527-N.PAG, 14p

Predmety: DEEP learning, ENCODING, INSPECTION & review, GRAPH algorithms, FOURIER transforms, COMPARATIVE studies, DECODING algorithms

SAEP: A Surrounding-Aware Individual Emotion Prediction Model Combined with T-LSTM and Memory Attention Mechanism.

Autori: Wang, Yakun Du, Yajun Hu, Jinrong a ďalší

Zdroj: Applied Sciences (2076-3417); Dec2021, Vol. 11 Issue 23, p11111, 24p

Predmety: AFFECTIVE forecasting (Psychology), SOCIAL prediction, DEEP learning, SOCIAL influence, PREDICTION models

Data-driven identification of nonlinear normal modes via physics-integrated deep learning.

Autori: Li, Shanwu Yang, Yongchao

Zdroj: Nonlinear Dynamics; Dec2021, Vol. 106 Issue 4, p3231-3246, 16p

Advancement in semantic segmentation techniques: a comprehensive review for semantic segmentation of colorectal polyps using deep learning.

Autori: Manan, Malik Abdul Feng, Jinchao Ahmed, Shahzad

Zdroj: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-92, 92p

Micro-Computed Tomography Non-Destructive Testing and Defect Quantitative Analysis of Carbon Fiber-Reinforced Polymer, Glass Fiber-Reinforced Polymer and Carbon/Glass Hybrid Laminates Using Deep Learning Recognition.

Autori: Wang, Mingmeng Zhang, Bo Zhan, Shiyu a ďalší

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12192, 22p

Predmety: NONDESTRUCTIVE testing, CARBON fiber-reinforced plastics, LAMINATED materials, POROSITY, X-ray computed microtomography, DEEP learning, GLASS-reinforced plastics, IMPERFECTION

Real-time jute leaf disease classification using an explainable lightweight CNN via a supervised and semi-supervised self-training approach.

Autori: Jannat, Meftahul Uddin, Md Shahab Hasan, Mohammad Asif a ďalší

Zdroj: Frontiers in Plant Science; 2025, p1-24, 24p

Predmety: DEEP learning, CONVOLUTIONAL neural networks, REAL-time computing, SUPERVISED learning, AGRICULTURAL technology, PLANT diseases, ARTIFICIAL intelligence

A music source separation method integrating time–frequency decoupling and mamba-based state space modeling.

Autori: Zhang, Chongbin Zheng, Jiaxiang Cao, Moxi

Zdroj: Scientific Reports; 10/16/2025, Vol. 15 Issue 1, p1-23, 23p

Predmety: STATE-space methods, TIME-frequency analysis, AUDITORY perception, TIME, STATISTICAL models, AUDITORY scene analysis

Machine Learning to Improve Multi-Hop Searching and Extended Wireless Reachability in V2X.

Autori: Morocho-Cayamcela, Manuel Eugenio Lee, Haeyoung Lim, Wansu

Zdroj: IEEE Communications Letters; Jul2020, Vol. 24 Issue 7, p1477-1481, 5p

Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge

Autori: Wodzinski, Marek Müller, Henning

Témy: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2310.15827

Image Caption Generation for the Visually Impaired Using Deep Learning

Autori: Ritul Adhav

Zdroj: International Journal for Research in Applied Science and Engineering Technology. 13:950-955

Deep Road Scene Understanding.

Autori: Zhou, Wujie Lv, Sijia Jiang, Qiuping a ďalší

Zdroj: IEEE Signal Processing Letters; Apr2019, Vol. 26 Issue 4, p587-591, 5p

Predmety: DRIVERLESS cars, ARTIFICIAL neural networks, ARCHITECTURE, MATHEMATICAL convolutions, COMPREHENSION

Coconut Disease Prediction Using Neural Attention Mechanism With Adamax Optimizer Based Convolutional Neural Network.

Autori: S. J., Niranjan M. L., Raviprakash B. V., Balaji Prabhu a ďalší

Zdroj: International Journal of Environmental Sciences (2229-7359); 2025, Vol. 11 Issue 5, p2352-2360, 9p

Predmety: CONVOLUTIONAL neural networks, PLANT diseases, IMAGE segmentation, OPTIMIZERS (Computer software), MACHINE learning, AGRICULTURAL forecasts, DATA augmentation

A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring

Autori: Liu, Yinyan Qiu, Jing Lu, Junda a ďalší

Témy: Encoder-Decoder Neural Network, Energy Disaggregation, Non-intrusive Load Monitoring, State Detection, Article

URL: http://repository.ust.hk/ir/Record/1783.1-117348
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2327-4697&rft.volume=9&rft.issue=2&rft.date=2022&rft.spage=755&rft.aulast=Liu&rft.aufirst=Y.&rft.atitle=A+Single-to-Multi+Network+for+Latency-Free+Non-Intrusive+Load+Monitoring&rft.title=IEEE+Transactions+on+Network+Science+and+Engineering
http://www.scopus.com/record/display.url?eid=2-s2.0-85121357558&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000792921700033

MACU-Net for semantic segmentation of fine-resolution remotely sensed images

Autori: Li, Rui Duan, Chenxi Zheng, Shunyi a ďalší

Témy: Earth Sciences, Data and Information, Publication - Article, PeerReviewed

URL: http://nora.nerc.ac.uk/id/eprint/532462/
http://nora.nerc.ac.uk/id/eprint/532462
http://dx.doi.org/10.1109/LGRS.2021.3052886
10.1109/LGRS.2021.3052886

WaSR—A Water Segmentation and Refinement Maritime Obstacle Detection Network.

Autori: Bovcon, Borja Kristan, Matej

Zdroj: IEEE Transactions on Cybernetics; Dec2022, Vol. 52 Issue 12, Part 1, p12661-12674, 14p

Federated learning-based multimodal approach for early detection and personalized care in cardiac disease.

Autori: Alasmari, Sultan AlGhamdi, Rayed Tejani, Ghanshyam G. a ďalší

Zdroj: Frontiers in Physiology; 2025, p1-27, 27p

Predmety: ARTIFICIAL neural networks, FEDERATED learning, DATA privacy, DATABASES, NOSOLOGY