Suchergebnisse - "Encoder AND decoder architecture*"

Exploring the Use of Deep Learning Models for Image Compression in Embedded Systems: Encoder and Decoder Architectures

Autoren: Abhiram Abhiram Seetharam Khetavath

Quelle: Journal of Intelligent Systems and Internet of Things. 15:37-52

Scalable and Advanced Framework for Hate Speech Detection on Social Media Using BERT and GPT-2 through Encoder and Decoder Architectures

Autoren: null Usman Nabeela Hasan Syed Mohammad Khurshid Quadri

Quelle: Journal of Computer Science. 21:584-594

Retinal Layer Segmentation Using SegNet Encoder And Decoder Architecture

Autoren: Anga Bindu Harini

GMDNet: Grouped Encoder-Mixer-Decoder Architecture Based on the Role of Modalities for Brain Tumor MRI Image Segmentation

Autoren: Peng Yang Ruihao Zhang Can Hu et al.

Quelle: Electronics. 14:1658

Data obfuscation using encoder-multi-decoder architecture

O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data

Autoren: Karuna Kumari Eerapu Shyam Lal A. V. Narasimhadhan

Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. 6:556-567

Schlagwörter: 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/9314924

ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection

Autoren: Liangpei Zhang Yanfei Zhong Ailong Ma et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 183:228-239

Schlagwörter: 11. Sustainability, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0924271621002835

LDPC Encoder and Decoder Architecture for Coding 3-bit Message Vector

Autoren: Gade Sribala K. Gouthami Tai-hoon Kim et al.

Quelle: International Journal of Security and Its Applications. 9:21-30

Schlagwörter: 0508 media and communications, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Exploring the Use of Deep Learning Models for Image Compression in Embedded Systems: Encoder and Decoder Architectures.

Autoren: Potlapalli, Abhiram Khetavath, Seetharam

Quelle: Journal of Intelligent Systems & Internet of Things; 2025, Vol. 15 Issue 1, p37-52, 16p

Schlagwörter: CONVOLUTIONAL neural networks, IMAGE processing, JPEG (Image coding standard), DEEP learning, ALGORITHMS, IMAGE compression, INSTRUCTIONAL systems

GMDNet: Grouped Encoder-Mixer-Decoder Architecture Based on the Role of Modalities for Brain Tumor MRI Image Segmentation.

Autoren: Yang, Peng Zhang, Ruihao Hu, Can et al.

Quelle: Electronics (2079-9292); Apr2025, Vol. 14 Issue 8, p1658, 28p

Schlagwörter: FEATURE extraction, IMAGE segmentation, COMPUTER-assisted image analysis (Medicine), MAGNETIC resonance imaging, TRANSFORMER models, DEEP learning

Register Free Polar Codes Based Partially Parallel Encoder and Decoder Architecture

Autoren: K. Saranya Devi R. Muthaiah

Quelle: Indian Journal of Science and Technology. 9

Schlagwörter: 0508 media and communications, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://www.indjst.org/index.php/indjst/article/view/93498/72154
https://indjst.org/articles/register-free-polar-codes-based-partially-parallel-encoder-and-decoder-architecture

An Exp-Golomb encoder and decoder architecture for JVT/AVS

Autoren: Gao Wen Gao Wen Hu Mingzeng Ji Zhenzhou et al.

Quelle: 2003 5th International Conference on ASIC Proceedings (IEEE Cat No 03TH8690) ICASIC-03. :910-913 Vol.2

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dissem.in/p/90149903/an-exp-golomb-encoder-and-decoder-architecture-for-jvtavs
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5733546
http://xplorestaging.ieee.org/ielx5/8985/28525/01277358.pdf?arnumber=1277358

Parallel-Node Low-Density Parity-Check Convolutional Code Encoder and Decoder Architectures

Autoren: Brandon, Tyler

Thesis Advisors: Elliott, Duncan (Electrical and Computer Engineering), Cockburn, Bruce (Electrical and Computer Engineering), Gulak, P. Glenn (Electrical and Computer Engineering), Nikolaidis, Ioanis (Computing Science), Gaudet, Vincent (Electrical and Computer Engineering), Fair, Ivan (Electrical and Computer Engineering)

Schlagwörter: LDPC, Convolutional, Encoder, Decoder, Achitecture, VLSI, throughput, energy-per-bit, parallelization

Dateibeschreibung: 2124965 bytes; application/pdf

Verfügbarkeit: http://hdl.handle.net/10048/981

Degree: Doctor of Philosophy
Doctoral
Department of Electrical and Computer Engineering
University of Alberta

Parallel-Node Low-Density Parity-Check Convolutional Code Encoder and Decoder Architectures

Autoren: Tyler Brandon

Schlagwörter: Decoder, LDPC, Achitecture, Parallelization, Convolutional, Energy-per-bit, Throughput, Encoder, VLSI

Zugangs-URL: https://era.library.ualberta.ca/items/8d189e53-d064-43f1-ad72-7dab0beb0a58
https://era.library.ualberta.ca/items/8d189e53-d064-43f1-ad72-7dab0beb0a58/view/4dc4dfaf-9d39-4aba-8cc3-02f20217af2c/brandon_tyler_spring2010.pdf

Study Data from Xinjiang Agricultural University Update Understanding of Brain Cancer (Gmdnet: Grouped Encoder-mixer-decoder Architecture Based On the Role of Modalities for Brain Tumor Mri Image Segmentation).

Quelle: Clinical Oncology Week; 5/19/2025, p1130-1130, 1p

Schlagwörter: AGRICULTURAL colleges, IMAGE segmentation, BRAIN cancer, FEATURE extraction, DEEP learning

Geografische Kategorien: URUMQI (China)

Cross-System Anomaly Detection in Deep-Sea Submersibles via Coupled Feature Learning.

Autoren: Fang, Xing Tan, Xin Zhang, Chengxi et al.

Quelle: Symmetry (20738994); Nov2025, Vol. 17 Issue 11, p1838, 25p

Schlagwörter: FAULT diagnosis, HYDRAULICS, DIAGNOSIS, OCEANOGRAPHIC submersibles, PROPULSION systems, FEATURE extraction, SELF-organizing systems, OUTLIER detection

Phase aware speech enhancement based on depthwise deep convolutional network.

Autoren: Iqbal, Yasir Zhang, Tao Iqbal, Anjum et al.

Quelle: Signal, Image & Video Processing; Sep2025, Vol. 19 Issue 9, p1-11, 11p

ST-GPINN: a spatio-temporal graph physics-informed neural network for enhanced water quality prediction in water distribution systems.

Autoren: Mu, Tianwei Duan, Feiyu Ning, Baokuan et al.

Quelle: NPJ Clean Water; 8/7/2025, Vol. 8 Issue 1, p1-15, 15p

Schlagwörter: GRAPH neural networks, HYDRAULIC models, PARTIAL differential equations, MACHINE learning, WATER management, PREDICTION models, SPATIOTEMPORAL processes, HYDROLOGICAL forecasting

Blockchain-Powered LSTM-Attention Hybrid Model for Device Situation Awareness and On-Chain Anomaly Detection.

Autoren: Zhang, Qiang Yue, Caiqing Dong, Xingzhe et al.

Quelle: Sensors (14248220); Aug2025, Vol. 25 Issue 15, p4663, 24p

Schlagwörter: BLOCKCHAINS, LONG short-term memory, MACHINE-to-machine communications, MACHINE learning, DETECTORS, DATA security, TRUST, ANOMALY detection (Computer security)

Parallel-Node Low-Density Parity-Check Convolutional Code Encoder and Decoder Architectures

Autoren: Brandon, Tyler

Schlagwörter: LDPC, Convolutional, Encoder, Decoder, Achitecture, VLSI, throughput, energy-per-bit, parallelization

Dateibeschreibung: application/pdf