Time-frequency analysis (TFA) for mechanical vibrations in non-stationary operations is the
main subject of this article, concisely written to be an introducing tutorial comparing different …

When implementing functionality which requires sparse matrices, there are numerous
storage formats to choose from, each with advantages and disadvantages. To achieve good …

Hyperspectral imaging has become one of the most popular techniques for high-throughput
plant phenotyping. Extracting and analyzing useful plant phenotypic traits from hyperspectral …

Nature-inspired metaheuristic algorithms remain a strong trend in optimization. Human-
inspired optimization algorithms should be more intuitive and relatable. This paper proposes …

The purpose of the current study was to examine the cortical correlates of imagery
depending on instructional modality (guided vs. self-produced) using various sports-related …

Despite the importance of sparse matrices in numerous fields of science, software
implementations remain difficult to use for non-expert users, generally requiring the …

The purpose of this article is to illustrate an investigation of methods that can be effectively
used to predict the data incompleteness of a dataset. Here, the investigators have …

The article analyzes the existing methods and known systems that provide tools for learning
programming languages and describes the mechanisms for evaluating these skills, which …

As Additive Layer Manufacturing (ALM) becomes pervasive in industry, its applications in
safety critical component manufacturing are being explored and adopted. However, ALM's …

The challenges in detecting antineutrinos by segmented antineutrino detectors (AD) pushed
us to get more exact results using new methods, including data mining and machine …