Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …

State of health (SOH) is a key parameter to assess lithium-ion battery feasibility for
secondary usage applications. SOH estimation based on machine learning has attracted …

State of health (SOH) estimation of lithium-ion batteries is a challenging and crucial task for
consumer electronics, electric vehicles, and micro-rids. This study presents a data-driven …

Feature selection techniques have become an apparent need in many bioinformatics
applications. In addition to the large pool of techniques that have already been developed in …

Application of machine learning (ML) to the prediction of reaction activation barriers is a new
and exciting field for these algorithms. The works covered here are specifically those in …

Many approaches to automatic sentiment analysis begin with a large lexicon of words
marked with their prior polarity (also called semantic orientation). However, the contextual …

The success of suicide prevention, a major public health concern worldwide, hinges on
adequate suicide risk assessment. Online platforms are increasingly used for expressing …

Data mining is a form of knowledge discovery essential for solving problems in a specific
domain. Classification is a technique used for discovering classes of unknown data. Various …

Abstract Machine learning (ML) expands traditional data analysis and presents a range of
opportunities in ecosystem service (ES) research, offering rapid processing of 'big data'and …