Abstract Background Removal of trace organic chemicals (TOrCs) in aquatic environments has been intensively studied.Some members of natural microbial communities play a vital role in transforming chemical contaminants, however, complex microbial interactions impede us from gaining adequate understanding of TOrC biotransformation mechanisms.To simpl
Background: To recognize the authors of the texts by the use of statistical tools, one first needs to decide about the features to be used as author characteristics, and then extract these features from texts.The features extracted from texts are mostly the counts of so called function words.Objectives: The data extracted are processed further to c
Abstract There is a wide application of deep learning technique to unimodal medical image analysis with significant classification accuracy performance observed.However, real-world diagnosis of some chronic diseases such as breast cancer often require multimodal data streams with different modalities of visual and textual content.Mammography, magne
This paper explores the implementation and possibilities of utilizing fuzzy logic theory for optimal operation and early fault detection in marine diesel engines.It emphasizes its Hair Nets role in managing the complexity and ambiguity inherent in engine performance and preventive maintenance.Preventive maintenance is crucial for ensuring the relia