Results 181 to 190 of about 6,198,210 (289)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Deep convolutional GAN and hypernet-based neural architecture search for brain tumor diagnosis detection and classification. [PDF]

PLoS One
Swathi S, Rajalakshmi M.
europepmc   +1 more source

MicroNAS: Zero-Shot Neural Architecture Search for MCUs [PDF]

Neural Architecture Search (NAS) effectively discovers new Convolutional Neural Network (CNN) architectures, particularly for accuracy optimization.
Qiao, Ye, Zhang, Yifan, Xu, Haocheng, Huang, Sitao   +3 more
core  

A Review on Catalytic Nanostructured Electrodes for Wearable and Implantable Abiotic Glucose Fuel Cells

Advanced Science, EarlyView.
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi, Hannah S. Leese, Benjamin Metcalfe, Mirella Di Lorenzo   +3 more
wiley   +1 more source

A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosis. [PDF]

J Appl Clin Med Phys
Seyyarer E, Genç H, Ayata F.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Hybrid Multi-Objective Neural Architecture Search for Lightweight Patch-Based Mistletoe Classification in UAV Imagery. [PDF]

J Imaging
Gil-Rios MA, Escalante-Garcia N, Valdiviezo-Navarro JC, Mejia-Zuluaga PA, Dozal L, Cruz-Aceves I.   +5 more
europepmc   +1 more source

Retracted: Identifying Animals in Camera Trap Images via Neural Architecture Search. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Multi-Chaotic HEOA for Hardware-Aware Neural Architecture Search: Brain Tumor Classification on FPGA. [PDF]

Sensors (Basel)
Mchichou I, Tahiri H, Tahiri MA, Amakdouf H.   +3 more
europepmc   +1 more source