Improving SVM performance through data reduction and misclassification analysis with linear programming. [PDF]
Suárez CA +4 more
europepmc +1 more source
Image thresholding segmentation based on weighted Parzen-window and linear programming techniques. [PDF]
Xiong F, Zhang Z, Ling Y, Zhang J.
europepmc +1 more source
A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company
Safwa Mohd Baki, Jack Kie Cheng
openalex +2 more sources
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Optimizing the Heat Loss from an Insulation Material and Boundary Layer Thickness of Airflow through a Hot Plate Using Nonlinear Least-Squares Error and Linear Programming Algorithms. [PDF]
Alrasheed MRA.
europepmc +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
Optimization of a Food List for Food Frequency Questionnaires Using Mixed Integer Linear Programming: A Proof of Concept Based on Data from the Second German National Nutrition Survey. [PDF]
Blaurock J, Heuer T, Gedrich K.
europepmc +1 more source
A mixed-integer linear programming approach to constructing sporting fixtures with minimal inequity [PDF]
Michael Haythorpe
openalex +1 more source

