Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools ...

The study “Financing Drug Development via Adaptive Platform Trials,” published today in PLOS One, outlines a financing model that merges the efficiencies of adaptive platform trials — lower ...

CTSMamba is a multitask deep learning model trained on longitudinal CT images of neoadjuvant chemotherapy-treated locally advanced gastric cancer that accurately predicts lymph node metastasis and ...

Deep learning accelerator models described with software imperative languages are frequently used for their large-scale reliability analysis in order to overcome the prohibitive simulation times of ...