Miller's Law states, "To understand what another person is saying, you must first assume what the person said is true and ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

All three are unbalanced datasets were analyzed through classification algorithms. Further, class balancing techniques were applied through over sampling and under sampling methods and then supervised ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

algorithm and the extreme learning machine (ELM), is proposed in this study, and the stresses of AZ80 magnesium alloy are predicted by the model through a 812-record dataset. The predicting results ...

A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in seconds compared to traditional models that may require hours or days. The speed of ...

Machine learning algorithms can be applied to recorded S-parameters in order to classify the stage of Alzheimer's disease in the brain. •The research presented in this work targets research in ...