Results 51 to 60 of about 861 (178)

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

ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS

Electrica, 2007
In order to improve unequal error protection and compression ratio of 2-D colored images over wireless environment, we propose two new schemes denoted as “Adaptive Wiener-Turbo System (AW- TS) and Adaptive Wiener-Turbo Systems with JPEG & Bit Plane ...
Kenan BUYUKATAK, Ersin GOSE, Onur Osman, Sedef KENT, Osman N. Ucan   +4 more
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

Adapting Deep Learning Phase Detectors for Seismic Array Processing

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Deep learning (DL) has considerably advanced single‐station seismic phase detection, but its integration into seismic array processing remains largely unexplored. We evaluate three strategies for adapting the previously developed TPhaseNet detector for regional phase detection to array data: (a) ensemble detection through stacking of single ...
A. Köhler, T. Stangeland, S. Mæland, B. Dando   +3 more
wiley   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 739-753, June 2026.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source

An Efficient Early Iteration Termination for Turbo Decoder

Journal of Telecommunications and Information Technology, 2016
Turbo code finds wide applications in mobile communication, deep space communication, satellite communication and short-range communication despite its high computational complexity and iterative nature.
P. Salija
doaj   +1 more source

Caution Ahead: Numerical Reasoning and Look‐Ahead Bias in AI Models

Journal of Accounting Research, Volume 64, Issue 3, Page 1139-1188, June 2026.
ABSTRACT Recent work within accounting and finance has highlighted that modern AI systems exhibit superhuman performance on a variety of foundational activities within these fields. However, the literature often does not provide economic rationale for why AI models seem to outperform, largely because these models are a black box.
BRADFORD LEVY
wiley   +1 more source

Turbo Equalization Based on a Virtual Decoder for Underwater Acoustic Communication

Journal of Marine Science and Engineering
By transferring external information between the equalizer and the decoder iteratively, the performance of turbo equalization is close to the channel capacity.
Cong Peng, Lei Wang, Lerong Hong, Zehua Lin, An Luo   +4 more
doaj   +1 more source

Turbo Decoder for Low-Power Ultrawideband Communication Systems

International Journal of Digital Multimedia Broadcasting, 2008
A new method to reduce the computational complexity of the turbo decoding in ultrawideband (UWB) orthogonal frequency division multiplexing (OFDM) system is proposed.
Esam A. Obiedat, Lei Cao
doaj   +1 more source