Results 51 to 60 of about 564,389 (192)

An optimization method for designing high rate and high performance SCTCM systems with in-line interleavers [PDF]

, 2004
We present a method for designing high-rate, high-performance SCTCM systems with in-line interleavers. Using in-line EXIT charts and ML performance analysis, we develop criteria for choosing constituent codes and optimization methods for selecting the ...
Iida, Yasuhiro, McEliece, Robert J., Miyauchi, Toshiyuki, Shinohara, Yuji, Yokokawa, Takashi   +4 more
core  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Design and Evaluation of Adaptive (Serial/Parallel) Concatenated Convolutional Codes

Journal of Engineering and Sustainable Development, 2006
In this paper, parallel Concatenated Convolutional Codes (PCCCs) is modeled as a special case of Serial Concatenated Convolutional Code (SCCCs). Consequently, resulting in Adaptive (parallel/serial) concatenated convolutional code in which the same ...
Khamis A. Zidan, Raghad Z. Yousif
doaj  

Multi-level Turbo Decoding Assisted Soft Combining Aided Hybrid ARQ [PDF]

, 2010
Hybrid Automatic Repeat reQuest (ARQ) plays an essential role in error control. Combining the incorrectly received packet replicas in hybrid ARQ has been shown to reduce the resultant error probability, while improving the achievable throughput.
Chen, Hong, Hanzo, Lajos, Maunder, Robert G.   +2 more
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Bio‐Inspired Robust Non‐combustible Bioplastic with Superinsulated Energy Harvesting for Intelligent Firefighting

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study develops a novel non‐combustible chitosan‐based bioplastic (NCCB) via ethanol‐induced surface assembly. The material's inherent flame retardancy and thermally insulating, rough surface enable high‐performance TENGs. The NCCB‐TENG maintains stable output even when exposed to fire and exhibits dual sensitivity to temperature (25–200°C) and ...
Qilin Lu, Liying Zhang, Pengyun Zhang, Junjie Wang, Huamin Chen, Hanchen Wang   +5 more
wiley   +1 more source

Iterative channel equalization, channel decoding and source decoding

, 2005
The performance of soft source decoding is evaluated over dispersive AWGN channels. By employing source codes having error-correcting capabilities, such as Reversible Variable-Length Codes (RVLCs) and Variable-Length Error-Correcting (VLEC) codes, the ...
Hanzo, L., Wang, J., Yang, L-L.
core   +1 more source

Fault Detection and Classification in Five‐Level Reduced Device Count Multilevel Inverter Using Fuzzy Logic System

Energy Science &Engineering, EarlyView.
A fuzzy logic–based diagnostic framework for a reduced device count multilevel inverter to accurately detect and classify open‐circuit faults. ABSTRACT The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle ...
Niraj Kumar Dewangan, Jeevan N. D., Krishna Kumar Gupta, Abhinandan Routray, Hani Vahedi   +4 more
wiley   +1 more source

A Better Understanding of the Performance of Rate-1/2 Binary Turbo Codes that Use Odd-Even Interleavers

, 2012
The effects of the odd-even constraint - as an interleaver design criterion - on the performance of rate-1/2 binary turbo codes are revisited. According to the current understanding, its adoption is favored because it makes the information bits be ...
Arkoudogiannis, Konstantinos S., Dimakis, Christos E., Koutsouvelis, Konstantinos V.   +2 more
core   +1 more source

Benchmarking Hybrid CNN‐Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour, Matthew S. Fox, Grace Parraga, Alexei Ouriadov   +3 more
wiley   +1 more source