Key market opportunities include the rising prevalence of chronic diseases and increased regulatory approvals driving demand ...
Abstract: Over the years, researchers have proposed numerous Twin Support Vector Machines (TSVM) variants aimed at addressing diverse challenges. These variants encompass sparse TSVM models, robust ...
Forecasting aerodynamic coefficients of lift and drag is a crucial aspect of airfoil design and optimization in aerospace engineering. Among numerous desirable design features of the wing and/or ...
Abstract: What if machine learning could predict inverter harmonics before prototyping? Conventional pulse width modulation (PWM) techniques in cascaded H-bridge (CHB) multilevel inverters (MLIs) ...
Objective: To explore the construction and clinical visualization application of a mortality risk prediction model for sepsis patients based on an improved machine learning model. Methods: This ...
The persistent challenge in remote sensing and cartographic science lies in reconciling the geometric fidelity of vectorized outputs with real-world cartographic specifications, while simultaneously ...
1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...
In the era of big data and artificial intelligence, machine learning is one of the hot issues in the field of credit rating. On the basis of combing the literature on credit rating methods at home and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this article, we introduce a diagnostic platform comprising an optical microscopy ...