In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

SARPLLM leverages large language modeling and quantum algorithms to predict Salmonella AMR, offering robust analysis and user ...

CEREBRUM is a unified modeling framework that integrates case-based reasoning with Bayesian representations. It provides a comprehensive suite of tools for developing, testing, and deploying cognitive ...

In this study, we proposed a novel algorithm of frequency-domain super-resolution with reconstruction from compressed representation. The algorithm follows a multistep procedure: first, an LR image in ...

Figure 3. Flowchart of the enhanced F-score feature selection algorithm for optimal classification model performance in pregnancy-induced hypertension diagnosis. The research develops an IPIMHL-GA ...

Background: There are currently five different kinds of transcranial magnetic stimulation (TMS) motor mapping algorithms available, from ordinary point-based algorithms to advanced field-based ...