Results 81 to 90 of about 2,074,957 (240)
Hybrid transformer-CNN model for accurate prediction of peptide hemolytic potential
Hemolysis is a crucial factor in various biomedical and pharmaceutical contexts, driving our interest in developing advanced computational techniques for precise prediction.
Sultan Almotairi +4 more
doaj +1 more source
Using Artificial Intelligence for Model Selection
We apply the optimization algorithm Adaptive Simulated Annealing (ASA) to the problem of analyzing data on a large population and selecting the best model to predict that an individual with various traits will have a particular disease.
Goldstein, Darin +2 more
core +2 more sources
This paper investigates the performance decline in complex systems, such as Unmanned Aerial Vehicles (UAVs), caused by unanticipated faults and external perturbations.
Dehua Zhang +3 more
doaj +1 more source
Technology: Artificial intelligence [PDF]
B, Majumdar +3 more
openaire +2 more sources
A review of deep learning approaches for drug synergy prediction in cancer
Synergistic drug combinations enhance cancer treatment by improving efficacy and reducing toxicity. With advances in artificial intelligence and large-scale datasets, deep learning has become central to anti-cancer drug synergy prediction.
Lei Li +3 more
doaj +1 more source
Radiogenomics in Medulloblastoma: Can the Human Brain Compete with Artificial Intelligence and Machine Learning? [PDF]
Archya Dasgupta, Tejpal Gupta
openalex +1 more source
Artificial intelligence - Informatics [PDF]
openaire +2 more sources

