Carrier and Clock Recovery in (Turbo-) Coded Systems: Cramér-Rao Bound and Synchronizer Performance
Nele Noels +2 more
openalex +1 more source
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 +2 more
wiley +1 more source
MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language models. [PDF]
Kim BS, Kim B, Jang B.
europepmc +1 more source
Pharmacologic MRI Brain Imaging Studies of Serotonin 5‐HT1 Receptor Agonists in Awake Mice
ABSTRACT Serotonin (5‐hydroxytryptamine, 5‐HT) type‐1 G protein‐coupled receptors are expressed throughout the central nervous system. 5‐HT1AR activation is the putative mechanism of approved drugs for generalized anxiety disorder and major depressive disorder and is being studied in the treatment of autism and neurological disorders.
Brittany M. Brems +5 more
wiley +1 more source
LAMP1 and LAMP2A localise to axonal organelles with distinct motility dynamics and partially overlapping molecular signatures in human neurons. [PDF]
Abouward R +9 more
europepmc +1 more source
Turbo multiuser detection with integrated channel estimation for differentially coded CDMA systems.
S. Talakoub
openalex +1 more source
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
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 +3 more
wiley +1 more source
Artificial intelligence in medical ethics education: a descriptive study of eight models in multiple choice question generation. [PDF]
Obeid J +4 more
europepmc +1 more source
ABSTRACT Background Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of their workday on electronic health record (EHR) tasks. Artificial intelligence (AI)–based speech recognition (ASR) tools promise to reduce this burden by generating draft notes from dictated or ...
Samuel Atiku +2 more
wiley +1 more source
Spatially coupled turbo codes: Principles and finite length performance
Alexandre Graell i Amat +2 more
openalex +2 more sources

