Suchergebnisse - Encoder–Decoder model*

Multiclass Image Segmentation using Deep Residual Encoder-Decoder Models in Highly Turbid Underwater Ambiances

Autoren: T. P. Mithun Haridas Suraj Kamal Arun A. Balakrishnan et al.

Quelle: International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 6, Pp 1510-1530 (2024)

Schlagwörter: 0301 basic medicine, Technology, 03 medical and health sciences, underwater image, underwater noise, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, fish4knowledge, multi-class image segmentation, Mathematics, encoder-decoder model

Zugangs-URL: https://doaj.org/article/fab15de612464c92875187394fcf2c3e
https://doi.org/10.33889/IJMEMS.2024.9.6.080

DRL-ED-TSPP: A Deep Reinforcement Learning Model With Encoder-Decoder for Solving the Traveling Salesman Problem With Profits

Autoren: Bin Hu Liying Zhao

Quelle: IEEE Access, Vol 13, Pp 111372-111391 (2025)

Schlagwörter: TSPP, travel planning, deep learning, encoder-decoder structure, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Zugangs-URL: https://doaj.org/article/427a1d552ef84104b1dd29915747f528

Abstractive Text Summarization for Legal Documents Using Optimization-Based Bi-LSTM with Encoder–Decoder Model

Autoren: Deepti Aggarwal Arun Sharma

Quelle: International Journal of Information Technology & Decision Making. 24:1493-1519

Efficient compression of encoder-decoder models for semantic segmentation using the separation index

Autoren: Movahed Jamshidi Ahmad Kalhor Abdol-Hossein Vahabie

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

Schlagwörter: Model compression, Encoder-Decoder architectures, Semantic segmentation, Separation index, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/e15c8de045f241838ea9385af1702c00

Oil Spill Segmentation Using Deep Encoder-Decoder Models

Autoren: Ramanathapura Satyanarayana, Abhishek Dhali, Maruf A.

Quelle: Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods. :741-748

Schlagwörter: FOS: Computer and information sciences, Deep Learning, Artificial Intelligence (cs.AI), Neural Networks, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), SEGMENTATION, Computer Science - Computer Vision and Pattern Recognition, Semantic Segmentation, Deep learning, Oil Spill

Zugangs-URL: http://arxiv.org/abs/2305.01386
https://research.rug.nl/en/publications/da35a2ea-40f5-41a7-a4f4-f805779f5310
https://hdl.handle.net/11370/da35a2ea-40f5-41a7-a4f4-f805779f5310
https://doi.org/10.5220/0013259600003905

Road Extraction from Remote Sensing Images Using a Skip-Connected Parallel CNN-Transformer Encoder-Decoder Model

Autoren: Vuyyuru Dharani Sri

Quelle: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

A Study on Modeling Roman Numeral Analysis Progressions Using the Encoder-Decoder Transformer

Autoren: Aaron Tucker Maxwell M. Omwenga

Quelle: 2025 IEEE International Conference on Electro Information Technology (eIT). :518-523

Image Captioning Using Vision Transformer Encoder Decoder Model

Autoren: null Kareemunissa Prakash Ramachandran

Quelle: 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). :1-6

Removing Batch Effect and Clustering Single-Cell RNA-seq Data Using a Cross-Modal Encoder-Decoder Model

Autoren: Hongchen Zhao Jinchao Liu

Quelle: 2025 37th Chinese Control and Decision Conference (CCDC). :6129-6135

Efficient Channel and Spatial Attention Integrated Encoder Decoder Model with Deep Capsule Network for Facial Emotion Detection

Autoren: Jeen Retna Kumar R M B Anushlin Leena J Shajeena et al.

Quelle: 2025 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI). :1-6

Dynamic ROI Adaptation for Accurate Non-Contact Heart Rate Estimation Using VGG-13 based Encoder-Decoder Model and Facial Landmarks

Autoren: Aravind A Anil Srinivasa Karthik Mohanasankar Sivaprakasam et al.

Quelle: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning

Autoren: Xie, Ailing Lin, Qiang He, Yang et al.

Quelle: Quant Imaging Med Surg

Schlagwörter: Original Article

Dynamic energy system modeling using hybrid physics-based and machine learning encoder–decoder models

Autoren: Machalek, Derek Tuttle, Jacob F. Andersson, Klas et al.

Quelle: Energy and AI. 9

Schlagwörter: Thermal power plant, Encoder–decoder, Hybrid model, Time series, Automatic differentiation

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/531379
https://research.chalmers.se/publication/531379/file/531379_Fulltext.pdf

PENERJEMAH BAHASA BESEMAH BERBASIS MACHINE LEARNING DENGAN ALGORITMA MODEL ENCODER-DECODER

Autoren: Fatmasari Fatmasari Ilman Zuhri Yadi Yesi Novaria Kunang et al.

Quelle: Rabit : Jurnal Teknologi dan Sistem Informasi Univrab. 10:168-175

Deep CNN-based encoder-decoder model for robust and secure image steganography with enhanced payload capacity and resistance to steganalysis

Autoren: D. Indrani K. Jithendra K. Divya et al.

Quelle: Sustainable Electrical Engineering and Intelligent Systems ISBN: 9781003643142

Scene image visual layout based on deep encoder–decoder network and visual image attention model

Autoren: Zhengyuan Zhang Yi He Ping Wang et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Schlagwörter: Image layout, Deep encoder-decoder network, Visual graph attention network, Computer vision, Holistically-nested edge detection, Physical constraint perception, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/ad098f3984f34663b7d0a04fc522e625

Soilcast: a Multitask Encoder-Decoder AI Model for Precision Agriculture

Autoren: Paolo Grazieschi Massimo Vecchio Miguel Pincheira et al.

Quelle: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. :866-873

CGM-Based Blood Glucose Prediction Model With LSTM Encoder–Decoder Architecture

Autoren: He Xu Yi Zhang Sixing Liu et al.

Quelle: IEEE Sensors Journal. 25:5824-5839

3D Skeleton-Based Non-Autoregressive Human Motion Prediction Using Encoder-Decoder Attention-Based Model

Autoren: Mayank Lovanshi Vivek Tiwari Rajesh Ingle et al.

Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. 9:271-280

Chinese to English Machine Translation using Boundary-Assistant Encoder-Decoder Network with Embeddings from Language Models

Autoren: Hong Li

Quelle: 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). :1-6