Results 181 to 190 of about 199,039 (272)

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Metalearning‐Driven Inverse Optimization for Precision Microstructure Fabrication in Digital Light Processing Three‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi, Suhyeong Lim, Jeongsu Lee, Cheol Woo Ha   +3 more
wiley   +1 more source

Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment. [PDF]

Med Biol Eng Comput
Levital MF, Khawaled S, Kennedy JA, Freiman M.   +3 more
europepmc   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection. [PDF]

Uncertain Safe Util Mach Learn Med Imaging (2024)
Shama DM, Venkataraman A.
europepmc   +1 more source

Gleaning the Rocky Shore? 2500 Years of Coastal Resource Use at Red Bluff 1, GunaiKurnai Country, SE Australia

Archaeology in Oceania, EarlyView.
ABSTRACT Shell middens in Gippsland along the eastern half of Victoria's coastline have usually been characterised as small, short‐duration camp sites with relatively low shell densities and low taxonomic diversity. Here we present new excavation results from a dense, high‐diversity site at Red Bluff near the eastern end of GunaiKurnai Country, a ...
Patrick Faulkner, Bruno David, David M. Kennedy, Fiona Petchey, Joanna Fresløv, Ashleigh J. Rogers, Jillian Garvey, Rachel Kirby, Runjie Yuan, Russell Mullett, John Stanisic, Kyne Krusic‐Golub, V. Ruth Pullin, Matthew C. McDowell, Robert J. Skelly, Anthony Romano, Vanessa N. L. Wong, GunaiKurnai Land and Waters Aboriginal Corporation   +17 more
wiley   +1 more source

A Bayesian deep learning model with consolidation-to-tumor ratio (CTR) prior revolutionizes the prediction of spread through air spaces (STAS) in stage IA lung adenocarcinoma: a large-scale diagnostic study. [PDF]

Transl Lung Cancer Res
Cao J, Chen N, Zhou L, Yi L, Peng Z, Qiu L, Wu H, Tan X, Wu K, Lin H, Huang Z, Liu Z, Guo C, Xu X, Yi Z, Mei J.   +15 more
europepmc   +1 more source

Confirmation of a Non‐Transiting Planet in the Habitable Zone of the Nearby M Dwarf L 98‐59

Astronomische Nachrichten, EarlyView.
ABSTRACT Only 40 exoplanetary systems with five or more planets are currently known. These systems are crucial for our understanding of planet formation and planet‐planet interaction. The M dwarf L 98‐59 has previously been found to show evidence of five planets, three of which are transiting.
Paul I. Schwarz, Stefan Dreizler, René Heller   +2 more
wiley   +1 more source

PheSeq, a Bayesian deep learning model to enhance and interpret the gene-disease association studies. [PDF]

Genome Med
Yao X, Ouyang S, Lian Y, Peng Q, Zhou X, Huang F, Hu X, Shi F, Xia J.   +8 more
europepmc   +1 more source

Mismatching Expressions: Spatiotemporal and Kinematic Differences in Autistic and Non‐Autistic Facial Expressions

Autism Research, EarlyView.
ABSTRACT Preliminary studies suggest there are differences in the facial expressions produced by autistic and non‐autistic individuals. However, it is unclear what specifically is different, whether such differences remain after controlling for facial morphology and alexithymia, and whether production differences relate to perception differences ...
Connor T. Keating, Sophie Sowden‐Carvalho, Holly O′Donoghue, Jennifer L. Cook   +3 more
wiley   +1 more source