A New Method for Biostatistical miRNA Pattern Recognition with Topological Properties of Visibility Graphs in 3D Space
المؤلفون المشاركون
Calì, Michele
Babič, Matej
Marina, Ninoslav
Mrvar, Andrej
Dookhitram, Kumar
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-11
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Visibility is a very important topic in computer graphics and especially in calculations of global illumination.
Visibility determination, the process of deciding which surface can be seen from a certain point, has also problematic applications in biomedical engineering.
The problem of visibility computation with mathematical tools can be presented as a visibility network.
Instead of utilizing a 2D visibility network or graphs whose construction is well known, in this paper, a new method for the construction of 3D visibility graphs will be proposed.
Drawing graphs as nodes connected by links in a 3D space is visually compelling but computationally difficult.
Thus, the construction of 3D visibility graphs is highly complex and requires professional computers or supercomputers.
A new method for optimizing the algorithm visibility network in a 3D space and a new method for quantifying the complexity of a network in DNA pattern recognition in biomedical engineering have been developed.
Statistical methods have been used to calculate the topological properties of a visibility graph in pattern recognition.
A new n-hyper hybrid method is also used for combining an intelligent neural network system for DNA pattern recognition with the topological properties of visibility networks of a 3D space and for evaluating its prospective use in the prediction of cancer.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Babič, Matej& Marina, Ninoslav& Mrvar, Andrej& Dookhitram, Kumar& Calì, Michele. 2019. A New Method for Biostatistical miRNA Pattern Recognition with Topological Properties of Visibility Graphs in 3D Space. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1175209
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Babič, Matej…[et al.]. A New Method for Biostatistical miRNA Pattern Recognition with Topological Properties of Visibility Graphs in 3D Space. Journal of Healthcare Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1175209
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Babič, Matej& Marina, Ninoslav& Mrvar, Andrej& Dookhitram, Kumar& Calì, Michele. A New Method for Biostatistical miRNA Pattern Recognition with Topological Properties of Visibility Graphs in 3D Space. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1175209
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175209
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر