Harnessing Machine Learning Approaches for the Identification, Characterization, and Optimization of Novel Antimicrobial Peptides. [PDF]
Saleem N +4 more
europepmc +1 more source
Artificial intelligenceâpowered microscopy: Transforming the landscape of parasitology
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
Xuran Meng and Yi Li's contribution to the Discussion of "On optimal linear prediction" by I. Helland. [PDF]
Meng X, Li Y.
europepmc +1 more source
PathoRM: Computational inference of pathogenic RNA methylation sites by incorporating multi-view features. [PDF]
Liu H, Ma J, Ma X, Zhang L.
europepmc +1 more source
Collaborative penetration testing suite for emerging generative AI algorithms. [PDF]
Radanliev P.
europepmc +1 more source
Machine Learning in Adversarial Settings: Attacks and Defenses
Hossein Hosseini
openalex +1 more source
Phishing detection on webpages in European non-English languages based on machine learning. [PDF]
Komosny D.
europepmc +1 more source
Adversarial selective domain adaptation with feature cluster for skin cancer diagnosis. [PDF]
Gou Q, Cui G.
europepmc +1 more source
A Novel Architecture for Mitigating Botnet Threats in AI-Powered IoT Environments. [PDF]
Memos VA +4 more
europepmc +1 more source

