The k‐nearest neighbors algorithm is characterized as a simple yet effective data mining
technique. The main drawback of this technique appears when massive amounts of data …

To address the demands of modern education and increase flexibility, many higher
education institutions are considering self-paced education programs. However, student …

The current evolution in multidisciplinary learning analytics research poses significant
challenges for the exploitation of behavior analysis by fusing data streams toward advanced …

Cardiovascular diseases (CVD) are the most widely spread diseases all over the world
among the common chronic diseases. CVD represents one of the main causes of morbidity …

Class label noise is a critical component of data quality that directly inhibits the predictive
performance of machine learning algorithms. While many data-level and algorithm-level …

This work presents a granule size prediction approach applicable to diverse formulations
containing new active pharmaceutical ingredients (APIs) in continuous twin-screw wet …

In recent years, the interest in continuous manufacturing techniques, such as twin-screw wet
granulation, has increased. However, the understanding of the influence of the combination …

The complexity and dynamics have been increased in the last years in the field of telecom
operations. Due to this, many challenges were introduced in this area especially in handling …

The globalisation of Internet is creating enormous amount of data on servers. The data
created during last two years is itself equivalent to the data created during all these years …

Batch effects (BEs) refer to systematic technical differences in data collection unrelated to
biological variations whose noise is shown to negatively impact machine learning (ML) …