Machine learning (ML)-assisted surface tension and oscillation-induced elastic modulus studies of oxide-coated liquid metal (LM) alloys. [PDF]
Hossain KZ +3 more
europepmc +1 more source
Mpropred: A machine learning (ML) driven Web-App for bioactivity prediction of SARS-CoV-2 main protease (Mpro) antagonists. [PDF]
Ferdous N +6 more
europepmc +1 more source
Tutorial: implementing and visualizing machine learning (ML) clinical prediction models into web-accessible calculators using Shiny R. [PDF]
Eddington HS +3 more
europepmc +1 more source
Current Trends and Future Prospects of Radiomics and Machine Learning (ML) Models in Spinal Tumors-A Narrative Review. [PDF]
Sanker V +11 more
europepmc +1 more source
Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness. [PDF]
Bezzi C +16 more
europepmc +1 more source
Novel Sewer Defect Prediction Leveraging Advanced Machine Learning (ML) Models. [PDF]
Seng V +4 more
europepmc +1 more source
Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach. [PDF]
Shakeel CS +4 more
europepmc +1 more source
Artificial intelligence (AI) and machine learning (ML) in ovarian cancer: transforming detection, treatment, and prevention. [PDF]
Singh M, Betgeri SN, Kakar SS.
europepmc +1 more source
Why machine learning (ML) has failed physical activity research and how we can improve. [PDF]
Fuller D, Ferber R, Stanley K.
europepmc +1 more source
A Review on Sustainable Recycling of NdFeB Waste: Methodologies, Challenges, and the Integration of Machine Learning (ML). [PDF]
Ullah R +5 more
europepmc +1 more source

