Results 221 to 230 of about 217,546 (313)

Non-catastrophic Encoders and Encoder Inverses for Quantum Convolutional Codes [PDF]

, 2006
Markus Grassl, Martin Rötteler
openalex   +1 more source

Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐CT images using 2D and 3D deep learning models

The Anatomical Record, EarlyView.
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee, Julian M. Moore, Brandon Vera Covarrubias, Leigha M. Lynch   +3 more
wiley   +1 more source

Framework for Groove Rating in Exercise-Enhancing Music Based on a CNN-TCN Architecture with Integrated Entropy Regularization and Pooling. [PDF]

Entropy (Basel)
Chen J, Han J, Su P, Zhou G.
europepmc   +1 more source

Distance bounds for convolutional codes and some optimal codes

, 2003
Heide Gluesing-Luerssen, Wiland Schmale
openalex   +2 more sources

Pruned convolutional codes and viterbi decoding using the levenshtein distance metric applied to asynchronous noisy channels [PDF]

, 2006
Ling Cheng, H.C. Ferreira
openalex   +1 more source

Redshift‐Agnostic Machine Learning Classification: Unveiling Peak Performance in Galaxy, Star, and Quasar Classification (Using SDSS DR17)

Astronomische Nachrichten, EarlyView.
ABSTRACT Classification of galaxies, stars, and quasars using spectral data is fundamental to astronomy, but often relies heavily on redshift. This study evaluates the performance of 10 machine learning algorithms on SDSS data to classify these objects, with a particular focus on scenarios where redshift information is unavailable.
Debashis Chatterjee, Prithwish Ghosh
wiley   +1 more source

Software defect prediction based on residual/shuffle network optimized by upgraded fish migration optimization algorithm. [PDF]

Sci Rep
Liu Z, Su T, Zakharov MA, Wei G, Lee S.
europepmc   +1 more source

Semi‐Automated Multi‐Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking

Autism Research, EarlyView.
ABSTRACT Mannerisms describe repetitive or unconventional body movements like arm flapping. These movements are early markers of restricted and repetitive behaviors (RRBs) in autism spectrum disorder (ASD). However, assessing mannerisms reliably is challenging.
Christian Lemler, Solvejg K. Kleber, Leonie Polzer, Naisan Raji, Janina Kitzerow‐Cleven, Ziyon Kim, Simeon Platte, Christine M. Freitag, Nico Bast   +8 more
wiley   +1 more source

Convolutional Codes with Maximum Distance Profile

, 2003
Ryan Hutchinson, Joachim Rosenthal, Roxana Smarandache   +2 more
openalex   +2 more sources

Expertise‐inspired artificial intelligence pipeline for clinically applicable reconstruction of tooth‐centric radial planes: Development and multicenter validation

BMEMat, EarlyView.
The expertise‐inspired AI pipeline demonstrates significant clinical utility for rapid and precise analysis of dento‐maxillofafcial CBCT and benefits for intelligent oral health management. Abstract Owing to the tooth‐centered nature of most oral diseases, the tooth‐centric radial plane of cone‐beam computed tomography (CBCT) depicts the anatomical and
Zhuohong Gong, Gengbin Cai, Jiayang Zeng, Beichen Wen, Hengyi Liu, Jiahong Lin, Xiaofei Meng, Peisheng Zeng, Jiamin Shi, Rui Xie, Yang Yu, Yin Xiao, Mengru Shi, Ruixuan Wang, Zetao Chen   +14 more
wiley   +1 more source