Suchergebnisse - neural network with encoder-((decoder architecture) OR (design architecture))*

An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture.

Autoren: Balasubrahmanyam, M. Valarmathi, R. S.

Quelle: International Journal of Speech Technology; Sep2024, Vol. 27 Issue 3, p637-656, 20p

Schlagwörter: CONVOLUTIONAL neural networks, INTELLIGIBILITY of speech, SPEECH perception, SPEECH enhancement, HEARING aids, DEEP learning, SUPERVISED learning, SPEECH

An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture

Autoren: M. Balasubrahmanyam R. S. Valarmathi

Quelle: International Journal of Speech Technology. 27:637-656

Exhale-Focused Thermal Image Segmentation Using Optical Flow-Based Frame Filtering and Transformer-Aided Deep Networks.

Autoren: Lee, Do-Kyeong Shin, Jae-Sung Choi, Jae-Sung et al.

Quelle: Bioengineering (Basel); May2025, Vol. 12 Issue 5, p542, 17p

Schlagwörter: CONVOLUTIONAL neural networks, THERMOGRAPHY, TRANSFORMER models, IMAGE segmentation, COVID-19 pandemic, OPTICAL flow

Design and Implementation of an Intelligent Web Service Agent Based on Seq2Seq and Website Crawler.

Autoren: Hsih, Mei-Hua Yang, Jian-Xin Hsieh, Chen-Chiung

Quelle: Information. Dec2024, Vol. 15 Issue 12, p818. 19p.

Schlagwörter: *Artificial neural networks, *Natural language processing, *Internet content, *Web services, Online social networks, Intelligent personal assistants

On the use of stochastic logic for nonlinear circuits and systems

Autoren: Camps Pascual, Oscar Vicente

Thesis Advisors: Picos Gayà, Rodrigo, Stavrinides, Stavros G.

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Computación estocástica, Memristores, Sistemas no lineales, Computación Estocástica

Time: 621.3

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/688339

Online encoder-decoder anomaly detection using encoder-decoder architecture with novel self-configuring neural networks & pure linear genetic programming for embedded systems

Autoren: Kasparaviciute, Gabriele Thelin, Malin Nordin, Peter et al.

Quelle: 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence. :163-171

Schlagwörter: Neural network, Encoder-decoder, Evolutionary algorithm, Genetic algorithm, Embedded, Self-configuring, Anomaly detection, Linear genetic programming

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/519597
https://research.chalmers.se/publication/513654
https://research.chalmers.se/publication/519597/file/519597_Fulltext.pdf

Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants.

Autoren: Kolhar, Shrikrishna Jagtap, Jayant

Quelle: Ecological Informatics. Sep2021, Vol. 64, pN.PAG-N.PAG. 1p.

Schlagwörter: Convolutional neural networks, Image segmentation, Plant anatomy, Crop yields, Tobacco growing

Encoder-Decoder Architecture for Image Steganography using Skip Connections.

Autoren: Kumar, Akshay Rani, Rajneesh Singh, Samayveer

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

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

Time-Series Forecasting Based on Multi-Layer Attention Architecture.

Autoren: Na Wang Xianglian Zhao

Quelle: KSII Transactions on Internet & Information Systems. Jan2024, Vol. 18 Issue 1, p1-14. 14p.

Schlagwörter: Artificial neural networks, Transformer models, Vernacular architecture, Time series analysis, Current transformers (Instrument transformer)

Analysis of the effectiveness of two different loss functions in training a neural network in lung image reconstruction using impedance tomography

Autoren: Malgorzata Lalak-Dybała Barbara Stefaniak Paweł Olszewski

Quelle: Journal of Modern Science, Vol 57, Iss 3, Pp 594-608 (2024)

Schlagwörter: 0301 basic medicine, neural network with encoder-decoder architecture, 03 medical and health sciences, resnet, 0202 electrical engineering, electronic engineering, information engineering, convolutional neural network, Social Sciences, 02 engineering and technology, lung reconstruction, electrical impedance tomography

Zugangs-URL: https://doaj.org/article/080fe2c0e5ff4f89b9924bad2ae2f2e4

Towards Practical Neural Image Compression

Autoren: Yang, Fei

Thesis Advisors: Herranz, Luis, Mozerov, Mikhail G., Cheng, Yongmei

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Compressió d'imatges neuronals, Compresión de imágenes neuronales, Neuronal image compression, Compressió de videos neuronals, Compresión de videos neuronales, Neural video compression, Aprenentatge profund, Aprendizaje profundo, Deep learning, Ciències Experimentals

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/675178

Recurrent and Concurrent Prediction of Longitudinal Progression of Stargardt Atrophy and Geographic Atrophy towards Comparative Performance on Optical Coherence Tomography as on Fundus Autofluorescence.

Autoren: Mishra, Zubin Wang, Ziyuan Chris Xu, Emily et al.

Quelle: Applied Sciences (2076-3417); Sep2024, Vol. 14 Issue 17, p7773, 16p

Schlagwörter: CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, OPTICAL coherence tomography, DRUG efficacy, THREE-dimensional imaging

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans.

Autoren: Mahmud, Tanvir Rahman, Md Fattah, Shaikh et al.

Quelle: IEEE Transactions on Artificial Intelligence. 2(3)

Schlagwörter: Artificial intelligence (AI), biomedical imaging, computer aided analysis, image segmentation, neural networks

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/51g6b93g
https://escholarship.org/content/qt51g6b93g/qt51g6b93g.pdf

WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects.

Autoren: Nag, Subhrajit Makwana, Dhruv R, Sai Chandra Teja et al.

Quelle: Computers in Industry. Nov2022, Vol. 142, pN.PAG-N.PAG. 1p.

Schlagwörter: *ARTIFICIAL intelligence, SEMICONDUCTOR wafers, CONVOLUTIONAL neural networks, SEMICONDUCTOR defects, COMPUTER vision, SEMICONDUCTOR design

Attention-adaptive and deformable convolutional modules for dynamic scene deblurring.

Autoren: Chen, Lei Sun, Quansen Wang, Fanhai

Quelle: Information Sciences. Feb2021, Vol. 546, p368-377. 10p.

Schlagwörter: CONVOLUTIONAL neural networks, ARCHITECTURAL design, SPATIAL arrangement, MODULAR coordination (Architecture)

A survey and taxonomy of adversarial neural networks for text‐to‐image synthesis.

Autoren: Agnese, Jorge Herrera, Jonathan Tao, Haicheng et al.

Quelle: WIREs: Data Mining & Knowledge Discovery. Jul/Aug2020, Vol. 10 Issue 4, p1-26. 26p.

Schlagwörter: *Artificial neural networks, *Machine translating, *Taxonomy, Convolutional neural networks, Architectural design, Deep learning

Attention module incorporated transfer learning empowered deep learning-based models for classification of phenotypically similar tropical cattle breeds (Bos indicus)

Autoren: Warhade, Radhika Devi, Indu Singh, Naseeb et al.

Quelle: Tropical Animal Health & Production. Jul2024, Vol. 56 Issue 6, p1-15. 15p.

A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems.

Autoren: Rahman, Md Mijanur Uzzaman, Ashik Sami, Sadia Islam et al.

Quelle: IET Image Processing (Wiley-Blackwell). 12/11/2024, Vol. 18 Issue 14, p4778-4798. 21p.

Schlagwörter: *ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, DEEP learning, IMAGING systems

A Multi-Scale attention network for building extraction from high-resolution remote sensing images.

Autoren: Chang J He X Song D et al.

Quelle: Scientific reports [Sci Rep] 2025 Jul 10; Vol. 15 (1), pp. 24938. Date of Electronic Publication: 2025 Jul 10.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Xuzhou Medical University Researchers Have Published New Study Findings on Engineering (CariesAttNet: An Attention-Enhanced Encoder-Decoder Network for Automated Caries Segmentation in CBCT Images).

Quelle: Health & Medicine Week. 9/12/2025, p8287-8287. 1p.