Several techniques for multivariate time series anomaly detection have been proposed
recently, but a systematic comparison on a common set of datasets and metrics is lacking …

In order to create a sustainable future for the urban environment in s= Smart cities, it is
necessary to develop a concept of urban transport, partially reduce the use of traditional …

Meta-heuristic algorithms are an essential way to solve realistic optimization problems.
Developing effective, accurate, and stable meta-heuristic algorithms has become the goal of …

Chromatography is the workhorse of biopharmaceutical downstream processing because it
can selectively enrich a target product while removing impurities from complex feed streams …

All metaheuristic optimization algorithms require some initialization, and the initialization for
such optimizers is usually carried out randomly. However, initialization can have some …

Undersampling is a widely used resampling technique for imbalanced data. As traditional
undersampling techniques, typically making majority and minority classes in imbalanced …

The goal of aggregating the base classifiers is to achieve an aggregated classifier that has a
higher resolution than individual classifiers. Random forest is one of the types of ensemble …

This article describes the national initiative for installing and operating a collaborative
scientific HPC infrastructure in Uruguay (Cluster-UY). The project was conceived as a mean …

esearch background: The corporate debt situation can be considered a crucial factor influ-
encing the future development of the financial performance of the firm. It is essential for …

Analisis data merupakan salah satu bagian yang harus ada dalam setiap penelitian
(mahasiswa) khususnya di bidang life science. Materi perkuliahan yang mendukung atau …