… literature review and preliminary research findings, the study … , and it has been challenging
to assess and map recreation … the drawbacks of data imbalance widely confronted by …

… was developed from a literature review of previous studies … afternoon, leaving staff with an
unbalanced workload. There are … CHCs are seen as potential solutions to meet this challenge. …

… In late 2016, these “future key tasks” would have referred to … , reported a “serious and systematic
study” of the speeches held … unbalanced” 69 “The problem of demographic imbalance is …

… that has strongly contributed to a noticeable imbalance in perceptions of fifth through first cen…
Another popular solution is to cluster data from a particular place that has accumulated over …

… Our analysis of the simulation results shows how this rich … , nonagreesion argeement,
unbalanced market power and … Since each strategy may have di erent answers, for each questions …

… Who its principal architects and implementers are remain questions with elusive answers.…
toward internal or external issues seems to have been baked into analysis from the outset, as …

… /or services under social objectives, and that uses most of … ➢ It was in the 1990s that SEs
were considered as a solution … , & Wangler, nd), we address issues encountered by SEs such as …

… In addition, there is an imbalance of social and cultural development within the Zhuang
ethnic group due to their wide and diverse geographical distribution and the economic and …

… [2, 3, 4, 5] and deep learning [2, 3, 4] algorithms on imbalanced dataset. The … data of BSS
is highly imbalanced. Thus, it is more challenging for machine learning algorithms and deep …

… training complexity and overfitting issues. An ensemble feature … ) for evaluating machine
learning algorithms on imbalanced … selection and imbalanced data: Problems in software defect …