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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Date:
January 19, 2022
Creator:
Rupapara, Vaibhav; Rustam, Furqan; Aljedaani, Wajdi; Shahzad, Hina Fatima; Lee, Ernesto & Ashraf, Imran
System:
The UNT Digital Library
Work hardening in metastable high entropy alloys: a modified five-parameter model
Article models work hardening response in TRIP HEAs under tensile deformation, which reflects the hardening due to synergistic activity of multiple deformation mechanisms, using a five-parameter work hardening model.
Date:
April 19, 2022
Creator:
Haridas, Ravi Sankar; Agrawal, Priyanka; Yadav, Surekha; Agrawal, Priyanshi; Gumaste, Anurag & Mishra, Rajiv
System:
The UNT Digital Library