Results 71 to 80 of about 7,082,722 (377)
Uniqueness of radiomic features in non‐small cell lung cancer
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
KOALA GRAPH THEORY INTERNET SERVICE
TASK Quarterly, 2015 KOALA has been created with the idea of C++ library templates, implementing a broad set of procedures in the fields of algorithmic graph theory and network problems in discrete optimization.
TOMASZ GOLUCH +2 more
doaj +1 more source
Biomimetics, 2023 The study of the human visual system not only helps to understand the mechanism of the visual system but also helps to develop visual aid systems to help the visually impaired.
Hui Wei, Jingyong Ye, Jiaqi Li, Yun Wang
doaj +1 more source
Algorithms for matrix multiplication via sampling and opportunistic matrix multiplication [PDF]
Algorithmica 86(9), pp. 2822-2844 (2024), 2021 Karppa & Kaski (2019) proposed a novel ``broken" or ``opportunistic" matrix multiplication algorithm, based on a variant of Strassen's algorithm, and used this to develop new algorithms for Boolean matrix multiplication, among other tasks. Their algorithm can compute Boolean matrix multiplication in $O(n^{2.778})$ time.
arxiv
Item-based collaborative filtering recommendation algorithms
The Web Conference, 2001 Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services during a live interaction.
B. Sarwar +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam +2 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie +6 more
wiley +1 more source
Information, 2023 Integrating physical simulation data into data ecosystems challenges the compatibility and interoperability of data management tools. Semantic web technologies and relational databases mostly use other data types, such as measurement or manufacturing ...
Philipp Spelten +4 more
doaj +1 more source
Manifold Learning for Dimensionality Reduction: Quantum Isomap algorithm [PDF]
arXiv, 2022 Isomap algorithm is a representative manifold learning algorithm. The algorithm simplifies the data analysis process and is widely used in neuroimaging, spectral analysis and other fields. However, the classic Isomap algorithm becomes unwieldy when dealing with large data sets. Our object is to accelerate the classical algorithm with quantum computing,
arxiv
Algorithmic thermodynamics [PDF]
Mathematical Structures in Computer Science, 2012 Algorithmic entropy can be viewed as a special case of the entropy studied in statistical mechanics. This viewpoint allows us to apply many techniques developed for use in thermodynamics to the subject of algorithmic information theory. In particular, suppose we fix a universal prefix-free Turing machine and letXbe the set of programs that halt for ...
BAEZ, JOHN, STAY, MIKE
openaire +4 more sources