Results 31 to 40 of about 300,587 (269)

Nearest Embedded and Embedding Self-Nested Trees [PDF]

Algorithms, 2019
Self-nested trees present a systematic form of redundancy in their subtrees and thus achieve optimal compression rates by directed acrylic graph (DAG) compression. A method for quantifying the degree of self-similarity of plants through self-nested trees was introduced by Godin and Ferraro in 2010.
openaire   +4 more sources

Exploring Character Trigrams for Robust Arabic Text Classification: A Comparative Analysis in the Face of Vocabulary Expansion and Misspelled Words

IEEE Access
Tokenization is an important early step in natural language processing (NLP) tasks. The idea is to split the input sentence into smaller units, called tokens, for further processing.
Dorieh Alomari, Irfan Ahmad
doaj   +1 more source

SAAED: Embedding and Deep Learning Enhance Accurate Prediction of Association Between circRNA and Disease

Frontiers in Genetics, 2022
Emerging evidence indicates that circRNA can regulate various diseases. However, the mechanisms of circRNA in these diseases have not been fully understood.
Qingyu Liu, Junjie Yu, Yanning Cai, Guishan Zhang, Xianhua Dai   +4 more
doaj   +1 more source

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier, Brittany Grantham, Camilla Grud Nielsen, Louise Lundgren, Liv Andrés‐Jensen, Kjeld Schmiegelow, Chris Selman, Gareth Ball, Elyse Passmore, David A. Elliott, Rachel Conyers   +10 more
wiley   +1 more source

Natural Intelligence in Search of Ways to Apply Artificial One (Results of the Scientific and Practical Conference “The Use of Artificial Intelligence in Library and Information Activities”)

Библиосфера
The article is an analytical review of reports and presentations made at the scientific conference “Application of Artificial Intelligence in Library and Information Activities” and held by INION RAS on May 29, 2024.
V. K. Stepanov
doaj   +1 more source

On Variable Exponent Amalgam Spaces

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2012
We derive some of the basic properties of weighted variable exponent Lebesgue spaces Lp(.)w (ℝn) and investigate embeddings of these spaces under some conditions.
Aydin İsmail
doaj   +1 more source

Matching the LBO Eigenspace of Non-Rigid Shapes via High Order Statistics

Axioms, 2014
A fundamental tool in shape analysis is the virtual embedding of the Riemannian manifold describing the geometry of a shape into Euclidean space. Several methods have been proposed to embed isometric shapes into flat domains, while preserving the ...
Alon Shtern, Ron Kimmel
doaj   +1 more source

Universal Scaling of Thin Current Sheets

Geophysical Research Letters, 2020
Thin current sheets (TCSs) with thicknesses about ion Larmor radii are widespread in space. It is important to describe their equilibrium structure allowing them to store and then explosively release the accumulated free energy.
L. M. Zelenyi, H. V. Malova, E. E. Grigorenko, V. Yu Popov, E. M. Dubinin   +4 more
doaj   +1 more source

Improved Early Referral in Long‐Term Survivor Care With Institutional Standardized Practice Among Childhood Leukemia Survivors#

Pediatric Blood &Cancer, EarlyView.
ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark, Kayla L. Foster, Omar Shakeel, Mary C. Shapiro, Shawki L. Qasim, ZoAnn Dreyer, Eric S. Schafer, Ashley M. Butler, Austin L. Brown, Maria Monica Gramatges   +9 more
wiley   +1 more source

Exploiting Human Visual Limitations for High Capacity Information Hiding in Digital Images Using Alpha Channel

IEEE Access
Information hiding in digital images is a critical technique for secure communication in the era of high-volume multimedia exchange. While many existing methods embed secret data by modifying image parameters in the spatial or frequency domains, they ...
Mohsin Shah, Sokjoon Lee, Muhammad Nawaz Khan, Hyeokchan Kwon   +3 more
doaj   +1 more source