Results 41 to 50 of about 251 (146)
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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 +5 more
wiley +1 more source
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 +5 more
wiley +1 more source
Design and Evaluation of Adaptive (Serial/Parallel) Concatenated Convolutional Codes
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
Interleaved Diffractive Networks for Information Transfer Through Random Diffusers
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li +4 more
wiley +1 more source
ATSC 3.0 interleavers influence in reception performance [PDF]
Publisher Copyright: © 2016 IEEE.This paper presents the performance study of the interleavers defined in the ATSC 3.0 physical layer. It must be noted that for single PLP configurations convolutional time interleaving and frequency interleaving can be ...
Montalban, J. +9 more
core +1 more source
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu +5 more
wiley +1 more source
International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, NevadaInterleaving is a simple and effective way to improve the performance of an error correction scheme on a bursty ...
Chi, Danny T.
core
On chip interconnects for multiprocessor turbo decoding architectures [PDF]
International ...
Baghdadi, Amer +11 more
core +1 more source
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels. In addition to structured sparse kernels, low-rank kernels and the product of low-rank kernels, the product of structured sparse kernels, which is a framework for interpreting the ...
Guotian Xie +5 more
openaire +2 more sources
ABSTRACT Purpose To develop a slice‐wise blurring‐free and densely sampled TE‐resolved multiple‐TE (mTE) ASL sequence (TASL) for measuring blood–brain barrier (BBB) water exchange time. Methods A 3D TSE spiral‐readout pCASL sequence was modified to enable TE‐resolved acquisition.
Bo Li +11 more
wiley +1 more source

