Výsledky vyhledávání - Encoder-Decoder Transformer Model

Pre-Trained Encoder Decoder Transformer Model for Language Processing

Autoři: Farhan Akthar K Deepaksakthi V K Tamizhselvi A

Zdroj: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). :525-532

Arabic News Classification and Generation Based on an Encoder-Decoder Transformer Model (ArabicT5)

Autoři: Hezam Gawbah Nashwan Al-Majmar Akram Alsubari a další

Zdroj: 2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI). :1-6

Single Block Encoder-Decoder Transformer Model for Multi-Step Traffic Flow Forecasting

Autoři: Mas Omar Fitri Yakub Mohamad Sofian Abu Talip a další

Zdroj: 2024 IEEE 6th Symposium on Computers & Informatics (ISCI). :299-304

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Autoři: Mohamadreza Akbari Pour Mohamad Sadeq Karimi Amir Hossein Mazloumi

Zdroj: IEEE Access, Vol 13, Pp 203705-203722 (2025)

Témata: Long short term memory, multi time window, remaining useful life prediction, temporal convolutional networks, temporal fusion transformers, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11251223/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/ec2501b9cbd64d36b798ddd47bd575c2

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models

Autoři: Tang, Peng Zhu, Pengkai Li, Tian a další

Zdroj: Findings of the Association for Computational Linguistics: NAACL 2024. :116-131

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computation and Language (cs.CL), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2311.08623

Transformer model with external token memories and attention for PersonaChat

Autoři: Taize Sun Katsuhide Fujita

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-11 (2025)

Témata: Encoder–decoder model, Persona-Chat, Dialogue system, Fine-tuning, External memory, Attention mechanism, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/b1bd56efaa3940d18e146da089305979

Revalidating the Encoder-Decoder Depths and Activation Function to Find Optimum Vanilla Transformer Model

Autoři: Yaya Heryadi Bambang Dwi Wijanarko Dina Fitria Murad a další

Zdroj: 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE). :162-167

Classification and Generation of Arabic News Titles from Raw Text Based on an Encoder-Decoder Transformer Model (mT5)

Autoři: ‪Ayedh Abdulaziz Mohsen‬‏ Marwah Yahya Al-Nahari Akram Alsubari

Temporal Convolutional and Fusional Transformer Model with Bi-Lstm Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Autoři: Mohamadreza Akbari Pour Mohamad Sadeq Karimi

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models

Autoři: Tang, Peng Zhu, Pengkai Li, Tian a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computation and Language, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2311.08623

Charging stations demand forecasting using LSTM based hybrid transformer model.

Autoři: Hussain, Adil Eswarakrishnan, Vishwanath Aslam, Ayesha a další

Zdroj: Scientific Reports; 10/21/2025, Vol. 15 Issue 1, p1-27, 27p

Témata: DEMAND forecasting, LONG short-term memory, ELECTRIC vehicles, TRANSFORMER models, ELECTRIC vehicle charging stations, ENERGY consumption, DATA analysis, MACHINE learning

Korporace: CALIFORNIA Institute of Technology

EmbTCN-Transformer: An Embedding Temporal Convolutional Network–Transformer Model for Multi-Trajectory Prediction.

Autoři: Chen, Ao Chen, Haotian Zhang, Zhenxin a další

Zdroj: Mathematics (2227-7390). Oct2025, Vol. 13 Issue 20, p3306. 15p.

Témata: *TRANSFORMER models, *RECURRENT neural networks, *STATISTICAL models, *CONVOLUTIONAL neural networks, *MATHEMATICAL functions

Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction

Autoři: Pour, Mohamadreza Akbari Karimi, Mohamad Sadeq Mazloumi, Amir Hossein

Témata: Machine Learning, Artificial Intelligence

Relation: http://arxiv.org/abs/2511.04723

Dostupnost: http://arxiv.org/abs/2511.04723

Attention-based transformer model for Arabic image captioning.

Autoři: Al Badarneh, Israa Al Mahmoud, Rana Husni Hammo, Bassam H. a další

Zdroj: Neural Computing & Applications. Jul2025, Vol. 37 Issue 20, p15501-15533. 33p.

Témata: *ARABIC language, *TRANSFORMER models, *PHOTOGRAPH captions, *ARTIFICIAL neural networks, *ENSEMBLE learning, *CONVOLUTIONAL neural networks, *DEEP learning

Reviews & Products: FLICKR (Web resource)

Short term demand forecasting of electric vehicle charging stations using context aware temporal transformer model.

Autoři: Hussain, Adil Lu, Qing-Chang Rizvi, Sanam Shahla a další

Zdroj: Scientific Reports; 10/21/2025, Vol. 15 Issue 1, p1-24, 24p

Témata: ELECTRIC vehicles, DEMAND forecasting, ELECTRIC vehicle charging stations, FORECASTING, ELECTRIC vehicle industry, PREDICTION models

Geografický termín: BOULDER (Colo.)

Improvement of transformer summary generation model integrating pointer network

Autoři: LI Weiqian PU Chenglei

Zdroj: Xi'an Gongcheng Daxue xuebao, Vol 36, Iss 2, Pp 94-100 (2022)

Témata: text summarization, attention mechanism, encoder-decoder model, transformer model, pointer network, Materials of engineering and construction. Mechanics of materials, TA401-492, Environmental engineering, TA170-171

Popis souboru: electronic resource

Relation: http://journal.xpu.edu.cn/en/#/digest?ArticleID=1173; https://doaj.org/toc/1674-649X

Přístupová URL adresa: https://doaj.org/article/4e379466d16b4138b89d557f44ceec50

CT图像肾肿瘤分割的三维轴向Transformer模型.

Alternate Title: 3D axial Transformer model for kidney tumor segmentation in CT images.

Autoři: 张金龙 吴 敏 孙玉宝

Zdroj: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Apr2025, Vol. 47 Issue 4, p677-685. 9p.

Témata: *TRANSFORMER models, *KIDNEY tumors, *COMPUTED tomography, *CANCER chemotherapy, *RADIOTHERAPY, *IMAGE segmentation

An Adaptive Transformer Model for Long‐Term Time‐Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation.

Autoři: El-Saieed, Asmaa Mohamed Ejbali, Ridha

Zdroj: Applied Computational Intelligence & Soft Computing; 5/9/2025, Vol. 2025, p1-19, 19p

Témata: TRANSFORMER models, CLEAN energy, WEATHER forecasting, PROCESS capability, GLOBAL radiation

Charging stations demand forecasting using LSTM based hybrid transformer model

Autoři: Adil Hussain Vishwanath Eswarakrishnan Ayesha Aslam a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-27 (2025)

Témata: Electric vehicles, Demand prediction, Hybrid transformer, Charging demand, Deep learning, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/e93c55716729439c8833f005ca84cab6

A Holistic Approach to Transformer-Based Models: Architecture, Applications, and Ethical Layers

Autoři: DEMİR, Söz Tuana GÖKÇE NARİN, Nida

Témata: Multi-modal tasks, Natural language processing, Ethical artificial intelligence, Generative artificial intelligence, Transformer architecture