The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...

As oil and gas exploration expands to deep-sea, ultra-deep, and unconventional reservoirs, demands for nickel-based corrosion-resistant alloys' mechanical performance ...

Large language models (LLMs) such as ChatGPT, Claude Cowork and GitHub Copilot have revolutionised the way individuals and organizations interact with artificial intelligence for content generation, ...

Facility allocation plays a crucial role in modern urban planning and design. However, the allocation of various facilities in a reasonable manner is a complex problem involving high-dimensional multi ...

Abstract: This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

An individual’s somatic cells have essentially the same genome, but each cell type is determined by combinations of transcription factors (TFs) bound to each gene’s regulatory regions, controlling the ...

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

Abstract: Matrix operation is easy to be paralleled by hardware, and the memristor network can realize a parallel matrix computing model with in-memory computing. This article proposes a ...