Results 131 to 140 of about 2,863,027 (299)

Probability updating-based adaptive hybrid coding

Tongxin xuebao, 2008
A probability updating mechanism was proposed for entropy coding. To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of ...
doaj   +2 more sources

A Physical Framework for Algorithmic Entropy. [PDF]

Entropy (Basel)
Edmonds J.
europepmc   +1 more source

Constant SNR, Rate Control, and Entropy Coding for Predictive Lossy Hyperspectral Image Compression

IEEE Transactions on Geoscience and Remote Sensing, 2016
Marco Conoscenti, Riccardo Coppola, E. Magli   +2 more
semanticscholar   +1 more source

Associations of Sleep and Shift Work with Osteoarthritis Risk

Arthritis Care &Research, Accepted Article.
Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships between circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000‐person cohort, we evaluated associations between sleep duration, sleeplessness/insomnia, and ...
Elizabeth L. Yanik, Abigail Bridgeman, Erik D. Herzog, Vy Pham, Bradley A. Evanoff, Farshid Guilak   +5 more
wiley   +1 more source

Concatenated Constrained Coding: A New Approach to Efficient Constant-Weight Codes. [PDF]

Entropy (Basel)
Immink KS, Weber JH, Nguyen TT, Cai K.
europepmc   +1 more source

New Onset of Fibromyalgia After Exposure to a Combat Environment: A Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Traumatic life events are hypothesized to be triggers for the onset of fibromyalgia. Posttraumatic stress disorder (PTSD) is a common comorbidity of fibromyalgia. However, limited prospective data are available on the development of fibromyalgia after exposure to high‐magnitude stress.
Jay B. Higgs, Willie J. Hale, Casey L. Straud, Jim Mintz, Stacey Young‐McCaughan, Kimberly D. Gomes, Chelsea J. Sterne, Katrina M. Lawrence‐Wolff, Alan J. Bartholomew, Kevin M. Kelly, Douglas M. Maurer, Catherine Vriend, Brett T. Litz, Douglas E. Williamson, Alan L. Peterson, for the STRONG STAR Consortium   +15 more
wiley   +1 more source

Non-Uniform Entropy-Constrained <i>L</i>_∞ Quantization for Sparse and Irregular Sources. [PDF]

Entropy (Basel)
Alecu AA, Tahouri MA, Munteanu A, Păvăloiu B.   +3 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Deciphering the linguistic blueprint of DNA: context-sensitive structures, statistical patterns, and regulatory implications. [PDF]

Genomics Inform
Akhmetov I, Saparov T, Duran V, Pak A.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source