This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of a ...

In high-maneuverability bistatic forward-looking synthetic aperture radar (HMBF-SAR) imaging, the acceleration leads to an increased residual range curve and a deepened 2-D spatial variance of Doppler ...

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

The objective was to develop and evaluate the portability of a text mining algorithm for prospectively capturing disease progression in electronic health record (EHR) data of patients with metastatic ...

What Are Algorithms and Flowcharts?. Algorithms and flowcharts are two tools a software developer uses when creating new programs. An algorithm is a step-by-step recipe for processing data; it ...

PURPOSEReal-world lung cancer data in administrative claims databases often lack staging information and specific diagnostic codes for lung cancer histology subtypes. This study updates and validates ...

To achieve this, we construct five classical machine learning algorithms: minimum distance algorithm (MD), classification and regression trees (CART), support vector machine (SVM), random forest (RF), ...

Elon Musk’s ‘Algorithm,’ a 5-Step Process to Dramatically Improve Nearly Anything, Is Both Simple and Brilliant Just make sure you follow the steps in order.

This is the first of a three-part series summarizing how the revolution of generative AI came about, what its limitations and pitfalls are and, most importantly, what's next. When Algorithms Were ...