Abstract: The nonlinear magnetic properties of an iron core should be considered when topology optimization (TO ... The numerical instability of the sequential linear programming method is a ...

SMi Group reports: Alina Alexeenko of Purdue University presenting LyoHub's overview and strategies for the future of lyophilization and alternatives to conventional methods Optimization of ...

The European Society for Medical Oncology (ESMO) and ASCO are publishing a new edition of the ESMO/ASCO Global Curriculum (GC) with contributions from more than 150 authors. The purpose of the GC is ...

Our model naturally utilizes a scalable state-of-the-art optimization technique called sequential linear programming that is extensively applied and studied in various engineering problems. In ...

To deal with the neither continuous nor smooth objective function, we adopt an iterative marginal optimization ... We record computing time, linear combination coefficient vector, cutoff point and ...

ABSTRACT: In this paper, we provide a new approach to classify and recognize the acoustic events for multiple autonomous robots systems based on the deep learning mechanisms. For disaster response ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

LPFramework is an abstraction to programmatically formulate mixed-integer linear optimization (MILP) problems, which can then be solved using open-source/commercial ...