Ifiok J. Udo

TL;DR: A fuzzy-ontology based information retrieval system that determine the semantic equivalence between terms in a query and terms inA document by relating the synonyms of query terms with those of document terms so that documents could be retrieved based on the meaning of query Terms.

TL;DR: The tradeoffs of data reduction techniques are being presented and a hybrid technique for data reduction suitable for addressing classification problems of transaction data is proposed.

TL;DR: In this article, a transfer learning approach was used to classify patients' response to failed treatments due to adverse drug reactions, where a soft computing model was pre-trained to cluster CD4+ counts and viral loads of treatment change episodes (TCEs) processed from two disparate sources: the Stanford HIV drug resistant database ( https://hivdb.stanford.edu ).

TL;DR: A Spatio-GraphNet model for real-time contact tracing of CoVID-19 infection is proposed in this paper forreal-time crowd source of contacts-using a WiFi-like soft-robot enabled on mobile phones, as well as practical implications of the study.

TL;DR: In this paper, a hybrid of biotechnology and machine learning methods was used to identify the emergence of inter-and intra-SARS-CoV-2 sub-strains transmission and sustain an increase in substrains within various continents, with nucleotide mutations dynamically varying between individuals in close association with the virus as it adapts to its host/environment.