Results 51 to 60 of about 3,421,730 (304)
An Approach to Similarity Measure between Neutrosophic Soft Sets [PDF]
In this paper, we have defined different types of similarity measures between Neutrosophic Soft (NS) sets and studied some of their properties. Finally we have solve a real life problem by using similarity measure of neutrosophic soft sets.
Kalyan Sinha, Pinaki Majumdar
doaj +1 more source
Grouped representation of interatomic distances as a similarity measure for crystal structures [PDF]
Determining how similar two materials are in terms of both atomic composition and crystallographic structure remains a challenge, the solution of which would enable generalised machine learning using crystal structure data. We demonstrate a new method of
Ruizhi, Zhang +5 more
core +2 more sources
A Feature-Based Structural Measure: An Image Similarity Measure for Face Recognition
Facial recognition is one of the most challenging and interesting problems within the field of computer vision and pattern recognition. During the last few years, it has gained special attention due to its importance in relation to current issues such as
Noor Abdalrazak Shnain +2 more
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Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Image similarity or distortion assessment is fundamental to a wide range of applications throughout the field of image processing and computer vision. Many image similarity measures have been proposed to treat specific types of image distortions. Most of
Mohammed Abdulameer Aljanabi +3 more
doaj +1 more source
Enhancing Attributed Network Embedding via Similarity Measure
Network embedding aims to represent network structural and attributed information with low-dimensional vectors, which has been demonstrated to be beneficial for many network analysis tasks, such as link prediction, node classification and visualization ...
Bin Yu +4 more
doaj +1 more source
One of the purposes of fuzzy set theory is to overcome the uncertainties in the problems of multi-criteria decision-making (MCDM) via membership functions. But the fuzzy set theory has own limitations. To remove the limitations on membership functions of
Ali Aydogdu
doaj +1 more source
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
A context similarity measure [PDF]
This paper concentrates upon similarity between objects described by vectors of nominal features. It proposes non-metric measures for evaluating the similarity between: (a) two identical values in a feature, (b) two different values in a feature, (c) two objects.
openaire +2 more sources

