Results 141 to 150 of about 2,963,905 (354)
A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao +6 more
wiley +1 more source
Comparison study of EMG signals compression by methods transform using vector quantization, SPIHT and arithmetic coding. [PDF]
Ntsama EP, Colince W, Ele P.
europepmc +1 more source
DALC: Distributed Arithmetic Coding Aided by Linear Codes [PDF]
Junwei Zhou +3 more
openalex +1 more source
A taylor-made arithmetic model of the genetic code and applications [PDF]
Tidjani Négadi
openalex +1 more source
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2)$$ {b}_{\mathrm{max}}=2000\kern0.3em \mathrm{s}/{\
Mustafa Abbas +4 more
wiley +1 more source
A Statistical Model for Coding Subband Images using Vector Quantization and Arithmetic Coding
A. Nicoulin, Marco Mattavelli
openalex +2 more sources
GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler +2 more
wiley +1 more source
Arithmetic, Geometry, Cryptography and Coding Theory [PDF]
Kiran S. Kedlaya, Andrew V. Sutherland
openalex +1 more source
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe +4 more
wiley +1 more source
On the Arithmetic Complexities of Hamming Codes and Hadamard Codes. [PDF]
Zhengrui Li, Sian-Jheng Lin, Honggang Hu
openalex

