Suchergebnisse - "encoder–decoder"

The Concordance Index Decomposition: A Measure for a Deeper Understanding of Survival Prediction Models

Autoren: Alabdallah, Abdallah Ohlsson, Mattias Pashami, Sepideh et al.

Quelle: Artificial Intelligence in Medicine. 148:1-10

Schlagwörter: Survival Analysis, Evaluation Metric, Concordance Index, Variational Encoder-Decoder

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52259
https://doi.org/10.1016/j.artmed.2024.102781

MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5

Autoren: Siginamsetty Phani Ashu Abdul M. Krishna Siva Prasad et al.

Quelle: Alexandria Engineering Journal, Vol 127, Iss, Pp 129-142 (2025)

Schlagwörter: Multilingual text summarization, Co-attention mechanism, User query-based summarization, Fine-tuning mT5, TA1-2040, Engineering (General). Civil engineering (General), Shared encoder–decoder

Zugangs-URL: https://doaj.org/article/5f5bec6e242e417891b146c0d1a6db3e

A comparative study of deep End-to-End Automatic Speech Recognition models for doctor-patient conversations in Polish in a real-life acoustic environment

Autoren: Leszek Morzyński Marcin Lewandowski Karolina Pondel-Sycz et al.

Quelle: International Journal of Electronics and Telecommunications, Vol vol. 71, Iss No 3, Pp 1-8 (2025)

Schlagwörter: automatic speech recognition, encoder-decoder, deep neural network, Telecommunication, transformers, Electrical engineering. Electronics. Nuclear engineering, TK5101-6720, TK1-9971

Neural Combinatorial Optimization for Multiobjective Task Offloading in Mobile Edge Computing

Autoren: Xiang-Jie Xiao Yong Wang Pei-Qiu Huang et al.

Quelle: IEEE Transactions on Vehicular Technology. 74:10869-10880

Schlagwörter: task offloading, multiobjective, neural combinatorial optimization, mobile edge computing, encoder-decoder model

Dateibeschreibung: Print-Electronic

Zugangs-URL: https://bura.brunel.ac.uk/handle/2438/30986

To Fly, or Not to Fly, That Is the Question: A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry

Autoren: Naim Abdul-Khalek Mario Picciani Omar Shouman et al.

Quelle: J Proteome Res
Abdul-Khalek, N, Picciani, M, Shouman, O, Wimmer, R, Overgaard, M T, Wilhelm, M & Gregersen Echers, S 2025, 'To Fly, or Not to Fly, That Is the Question : A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry', Journal of Proteome Research, vol. 24, no. 6, pp. 2709-2726. https://doi.org/10.1021/acs.jproteome.4c00973

Schlagwörter: Attention mechanism, Computational proteomics, Encoder-decoder, Peptides/analysis, Classification, Article, ddc, Flyability, Rescoring, Deep Learning, Bottom-up proteomics, Peptide Library, ddc:630, Animals, Humans, Amino Acid Sequence, Proteomics/methods, Peptide detectability, Mass Spectrometry/methods, Software

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40344201
https://mediatum.ub.tum.de/doc/1784920/document.pdf

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems

Autoren: Mingfeng Fan Yaoxin Wu Zhiguang Cao et al.

Quelle: IEEE Transactions on Neural Networks and Learning Systems. 36:4677-4689

Schlagwörter: Artificial Intelligence and Robotics, Pareto optimization, Theory and Algorithms, Decoding, Transportation, Encoder-decoder, Vehicle routing, vehicle routing problems, neural heuristic, Context modeling, Training, Encoder–decoder, multiobjective optimization, Fans, Neural networks

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38517723
https://research.tue.nl/en/publications/cf1444fb-b68d-43eb-979c-4217ed876831
https://doi.org/10.1109/TNNLS.2024.3371706

A boundary enhanced multi-task neural attention approach for Chinese named entity recognition

Autoren: Jun Pan Mingcheng Xiao Mengpei Li et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Schlagwörter: Multi-task learning, Convolutional attention network, Encoder-decoder, Chinese named entity recognition, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/0bbf9a09c47449a7aa22d0e5d215aa49

A real time segmentation network for lithium battery surface defect detection

Autoren: Jiaxing Xie Peiwen Wu Jiasi Chen et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Schlagwörter: Encoder–decoder, Multi-scale feature fusion, Feature enhancement, Surface defect detection, Attention mechanism, Stable diffusion, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/1c775936065a44f3aaef6c21a79cbf8f

Investigating vulnerabilities of gait recognition model using latent-based perturbations

Autoren: Zeeshan Ali Maryam Bukhari Mubashir Javaid et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Schlagwörter: Video surveillance systems, BLG attack, Gait recognition, Gait energy images, Encoder-Decoder, Perturbation generator, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/582903f2538c4895b3997f8f736dd9ce

HET-VQVAE: a novel encoder-decoder framework for irregularly-sampled multivariate time series of patients

Autoren: Zhixuan Zeng Minjie Lin Yang Liu et al.

Quelle: Journal of Big Data, Vol 12, Iss 1, Pp 1-21 (2025)

Schlagwörter: Encoder-decoder framework, Attention mechanism, Time embeddings, Latent states, Irregularly-sampled multivariate time series, Interpolation, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2196-1115

Zugangs-URL: https://doaj.org/article/a60214a654d445a59553f884efa96554

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

Autoren: Hao Tang Zechao Li Dong Zhang et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:1958-1974

Schlagwörter: FOS: Computer and information sciences, RGB-thermal, Encoder-Decoder, multi-modal fusion, Artificial Intelligence and Robotics, salient object detection, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Numerical Analysis and Scientific Computing, Computer Science - Multimedia, Multimedia (cs.MM)

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40030445
http://arxiv.org/abs/2412.01556

A Sparse Pooling Adversarial Learning Framework for Anomaly Event Detection

Autoren: ZHANG, M. HU, H. LI, Z.

Quelle: Advances in Electrical and Computer Engineering, Vol 25, Iss 2, Pp 49-58 (2025)

Schlagwörter: self-attention, TK7885-7895, Computer engineering. Computer hardware, encoder-decoder, Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, smart community, anomaly detection, TK1-9971

Zugangs-URL: https://doaj.org/article/918c6279f0704162a88d76c40a71e47a

Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network

Autoren: Shuobei Sun Yang Peng An Wang et al.

Quelle: IEEE Access, Vol 13, Pp 128231-128248 (2025)

Schlagwörter: early warning, Nerve agents, encoder-decoder coupling physics-informed neural network, transformer, Electrical engineering. Electronics. Nuclear engineering, CFD, TK1-9971

Zugangs-URL: https://doaj.org/article/860af64441b149ba8c1774ac6f51fded

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks

Autoren: Yao Chen Jian Wang Jing Zhang et al.

Quelle: IEEE Access, Vol 13, Pp 4290-4303 (2025)

Schlagwörter: Fetal R-peak, GLU convolutional layer, encoder-decoder, fetal QRS complexes locations, Electrical engineering. Electronics. Nuclear engineering, sequence tagging, TK1-9971

Zugangs-URL: https://doaj.org/article/5be975e5885849dca58f508bbe3cb70f

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Autoren: Mas Omar Fitri Yakub Andika Aji Wijaya et al.

Quelle: IEEE Access, Vol 13, Pp 106349-106368 (2025)

Schlagwörter: encoder-only transformer, multi-step prediction, Traffic flow prediction, Electrical engineering. Electronics. Nuclear engineering, long short-term memory, encoder-decoder transformer, TK1-9971

Zugangs-URL: https://doaj.org/article/e76d51f8b38f42708baaec6c880e3665

ST-3DView: Multi-Scale Contrast-Enhanced 3D Point Cloud Reconstruction of Single-View Objects From Video Scene Transition

Autoren: Dipanita Chakraborty Werapon Chiracharit Kosin Chamnongthai

Quelle: IEEE Access, Vol 13, Pp 69596-69618 (2025)

Schlagwörter: 3D neural network, 3D reconstruction, object segmentation, Electrical engineering. Electronics. Nuclear engineering, scene transition detection, encoder-decoder architecture, point cloud, TK1-9971

Zugangs-URL: https://doaj.org/article/9fc22eed249e49a7aa1ba7cd65bced3f

MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV

Autoren: Sushil Sharma Arindam Das Ganesh Sistu et al.

Quelle: IEEE Open Journal of Vehicular Technology, Vol 6, Pp 1551-1567 (2025)

Schlagwörter: Transportation engineering, Sensor fusion, TA1001-1280, bird's-eye-view, semantic segmentation, multi-agent trajectory prediction, Transportation and communications, encoder-decoder transformer, HE1-9990

Zugangs-URL: https://doaj.org/article/fd4d59527eea4cb38ef2642b8f4f75e1

Two-Stage Residual Projection Network for Image Bit-Depth Enhancement

Autoren: Zepeng Liu Yizong Wang Yayuan Sang et al.

Quelle: IEEE Access, Vol 13, Pp 31215-31227 (2025)

Schlagwörter: alternating up and down sampling, residual projection, encoder-decoder, multi-scale features, Electrical engineering. Electronics. Nuclear engineering, Bit-depth enhancement, TK1-9971

Zugangs-URL: https://doaj.org/article/48741db607ea4c0eacc5a6ca2c8fa391

FRANet: A Feature Refinement Attention Network for SAR Image Denoising

Autoren: Shuaiqi Liu Yu Lei Qi Hu et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 12343-12363 (2025)

Schlagwörter: Ocean engineering, image denoising, QC801-809, Attention encoder–decoder network, Geophysics. Cosmic physics, deep learning, feature refinement, synthetic aperture radar (SAR), TC1501-1800

Zugangs-URL: https://doaj.org/article/5c07b3199eac47f1bf7e16b2322f38c7

Transformer-Based Multi-Target Object Detection and Tracking Framework for Robust Spatio-Temporal Memory in Dynamic Environments

Autoren: Tareq Mahmod AlZubi Umar Raza Mukhtar

Quelle: IEEE Access, Vol 13, Pp 47146-47164 (2025)

Schlagwörter: Multi-object tracking, transformer, encoder-decoder, multi-scale pyramid, Electrical engineering. Electronics. Nuclear engineering, memory network, TK1-9971

Zugangs-URL: https://doaj.org/article/7711794e983b42f1b873d4646dba7ac4