Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Advanced Intelligent Systems, EarlyView.Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang +5 more
wiley +1 more source
One bit at a time : the use of quantized compressive sensing in radar signal processing
, 2021 This thesis studies the harsh quantization of radar signals. More specifically, what can be achieved in terms of localization of targets using FMCW radars from 1-bit dithered measurements and processing. The first part of this thesis leverages the framework of Quantized Compressive Sensing to achieve high quality localizations using coarse 1-bit ...
openaire +1 more source
Advanced Intelligent Systems, EarlyView.This study presents the neural network SPICE integration platform (NSIP), a novel simulation framework for FeFET‐based crossbar arrays in neuromorphic computing. NSIP accurately models synaptic behavior, evaluates inference accuracy, and optimizes process variations.
Juhwan Park +3 more
wiley +1 more source
Real‐Time Guidewire Tip Tracking Using a Siamese Network for Image‐Guided Endovascular Procedures
Advanced Intelligent Systems, EarlyView.Accurate guidewire navigation is critical for the success of endovascular procedures. This study presents a deep learning‐based framework that enables real‐time localization of the guidewire tip from intraoperative digital subtraction angiography images.
Tianliang Yao +4 more
wiley +1 more source
Annals of Neurology, EarlyView.This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley +1 more source
NeuroDetect: Deep Learning-Based Signal Detection in Phase-Modulated Systems with Low-Resolution Quantization. [PDF]
Sensors (Basel)Luckshan C +4 more
europepmc +1 more source
A KWS System for Edge-Computing Applications with Analog-Based Feature Extraction and Learned Step Size Quantized Classifier. [PDF]
Sensors (Basel)Shen Y +3 more
europepmc +1 more source
Efficient Real-Time Isotope Identification on SoC FPGA. [PDF]
Sensors (Basel)Guerrero-Morejón K +5 more
europepmc +1 more source
Ultrafast Demagnetization Through Femtosecond Generation of Non‐Thermal Magnons
Advanced Physics Research, EarlyView.A fully ab initio parametrized model is developed to describe out‐of‐equilibrium magnon dynamics in ferromagnetic metals. Applying this model to ultrafast laser‐induced demagnetization, it is revealed that the generation of non‐thermal magnons provides a sizable demagnetization within 200 fs in excellent comparison with experiments, which establishes ...
Markus Weißenhofer, Peter M. Oppeneer
wiley +1 more source
Thermal Characterization of Ultrawide Bandgap Semiconductor Devices: A Review
Advanced Physics Research, EarlyView.This review outlines advanced thermal characterization methods essential for ultrawide bandgap semiconductors like β‐Ga₂O₃, AlN, and diamond. It critically compares optical and electrical techniques, highlights their applications in power and RF systems, and evaluates recent innovations.
Hassan Irshad Bhatti, Xiaohang Li
wiley +1 more source