Results 41 to 50 of about 1,502 (171)

Using large language models to automate herbarium specimen transcription: A case study at the Missouri Botanical Garden

PLANTS, PEOPLE, PLANET, Volume 8, Issue 4, Page 1068-1075, July 2026.
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin, Alexander G. Linan, Mike Blomberg, Heidi H. Schmidt, Jordan K. Teisher   +4 more
wiley   +1 more source

Design and FPGA implementation of an efficient parallel Turbo decoder for combining state metric calculations

Dianxin kexue, 2022
In order to achieve the requirement of high throughput and low-power in wireless communication, a parallel Turbo decoder has attracted extensive attention.By analyzing the calculating of the state metrics, a low-resource parallel Turbo decoder ...
Qian ZHANG, Ming ZHAN, Jianwu ZHANG, Fulong WANG, Yunkai1 FENG, Hao TANG   +5 more
doaj   +2 more sources

Application of syndrome based Turbo decoding with adaptive computational complexity in LTE downlink [PDF]

Advances in Radio Science, 2012
This paper describes the application of an adaptive complexity decoder for the Long Term Evolution (LTE) downlink Turbo code. The proposed decoding approach is based on the block syndrome decoding principle and enables adaptive reduction of decoding ...
J. Geldmacher, K. Hueske, M. Kosakowski, J. Götze   +3 more
doaj   +1 more source

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

AI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3519-3535, June 2026.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul, Cecilia Liang, Isabelle Loster, Lavanya Umapathy, Bernd Kühn, Petros Martirosian, Ferdinand Seith, Sergios Gatidis, Thomas Küstner   +8 more
wiley   +1 more source

Missing the Mark: Adoption of Watermarking for Generative AI Systems in Practice and Implications Under the New EU AI Act

Policy &Internet, Volume 18, Issue 2, June 2026.
ABSTRACT AI‐generated images have become so good in recent years that individuals often cannot distinguish them from ‘real’ images. This development, combined with the rapid spread of AI‐generated content online, creates a series of societal risks. Watermarking, a technique that involves embedding information within the content to indicate their AI ...
Bram Rijsbosch, Gijs van Dijck, Konrad Kollnig   +2 more
wiley   +1 more source

Turbo Processing for Joint Channel Estimation, Synchronization, and Decoding in Coded MIMO-OFDM Systems

EURASIP Journal on Wireless Communications and Networking, 2009
This paper proposes a turbo joint channel estimation, synchronization, and decoding scheme for coded multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems.
Ko ChiChung, Nguyen-Le Hung, Le-Ngoc Tho
doaj   +2 more sources

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew, Md Rabiul Hasan, Tapio Seppänen, Mourad Oussalah   +3 more
wiley   +1 more source

Joint iterative decision feedback channel estimation and detection for Turbo coded V-BLAST MIMO-OFDM systems

Tongxin xuebao, 2006
For Turbo coded V-BLAST MIMO-OFDM systems,a joint iterative decision feedback channel estimation and detection scheme were presented,which combined the Turbo iterative decoding with least square channel estimation,and made full use of the soft systematic
QIAO Xiao-qiang1, CAI Yue-ming1, XU Xin1, XU You-yun1   +3 more
doaj   +2 more sources

Turbo codes and turbo algorithms

Journal of Communications Software and Systems, 2006
In the first part of this paper, several basic ideas that prompted the coming of turbo codes are commented on. We then present some personal points of view on the main advances obtained in past years on turbo coding and decoding such as the circular ...
Claude Berrou, Charlotte Langlais, Yi Yu
doaj