Results 71 to 80 of about 11,649,749 (258)
Classification and experimental studies of the factorization algorithms efficiency
The subject of the study is factorization algorithms, namely experimental testing of the efficiency of modern algorithms for integer factorization, identifying patterns between factorization algorithms and the size of the numbers being factorized in ...
Володимир Пєвнєв +1 more
doaj +1 more source
With the rapid growth of scientific publications, it is hard for researchers to acquire appropriate papers that meet their expectations. Recommendation system for scientific articles is an essential technology to overcome this problem.
Tao Dai +4 more
doaj +1 more source
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source
CR- factorization method for sparse matrices [PDF]
The column-row (CR-) factorization method is offered. The CR-factorization method differs from the LU- factorization method by property of adaptive to the placement of pivoting entries.
Saukh, S. Ye.
core
Construction of a transitive orientation using B-stable subgraphs [PDF]
A special method for construction of transitive orientations of the undirected graph $G=(X;U)$ is proposed. The method uses an iterative procedure for factorization of graph $G$. Factorization procedure consists in replacing of a B-stable subgraph with a
Nicolae Grigoriu
doaj
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
Nonnegative factorization and the maximum edge biclique problem [PDF]
Nonnegative matrix factorization (NMF) is a data analysis technique based on the approximation of a nonnegative matrix with a product of two nonnegative factors, which allows compression and interpretation of nonnegative data. In this paper, we study the
GILLIS, Nicolas, GLINEUR, François
core
ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine +21 more
wiley +1 more source
Discriminative and Graph Regularized Nonnegative Matrix Factorization with Kernel Method
Nonnegative matrix factorization (NMF) is a popular technique for dimension reduction,which has been extensively applied in image clustering and other fields.However,NMF is an unsupervised approach,which does not take the label information of the data ...
LI Xiangli, ZHANG Ying
doaj +1 more source
ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak +9 more
wiley +1 more source

