Open Source Software

This article presents a data-driven review of resampling approaches aimed at mitigating the class imbalance problem in machine learning, a widespread issue that limits classifier performance across numerous sectors. Initially, this research …

Feature selection is an effective data reduction technique. SHapley Additive exPlanations (SHAP) can be used to provide a feature importance ranking for models built with labeled or unlabeled data. Thus, one may use the SHAP feature importance …

Using the data of A-share listed companies in Shanghai and Shenzhen from 2009 to 2020, this paper investigates the impact of digital technological innovation on entrepreneurial activity and its mechanism of action. It is found that: (Bachmann et …

Graphs are increasingly used in research, industry, and government. This has led to a wide range of analytical and graph-processing tools. There are various tools and platforms for graph processing. Over time, diverse systems have emerged …

In previous few years development of modeling and methodology of surgical computation simplified the management of surgical operations for surgeons. It also reduces the risk associated. Home Accidents and osteoporosis are the two most common …

In diesem Kapitel erlernen die Leserinnen und Leser die Fähigkeit, die Möglichkeiten von E-, S- und M-Commerce zu erkennen, Phasen beim Aufbau eines E-Commerce zu unterscheiden, die Anforderungen an die Waren-, Informations- und Finanzlogistik …

The automotive industry finds itself in times of multidimensional transformations: Abandonment of combustion engines to transition to electrical engines for the reduction of global CO2 emissions, digitalization of products, services, and …

Structural optimization is typically performed with predetermined load locationsLoadlocation, directions, and magnitudes. This chapter presents ideas and techniques we have developed in recent years to optimize structural designsDesignstructural …