Cybersecurity researchers are warning of a new type of supply chain attack, Slopsquatting, induced by a hallucinating generative AI model recommending non-existent dependencies. According to ...

Normalization of numeric variables, done for the training and test datasets separately, was performed using the robust scaler method (36). Model training Four classification models were trained in ...

PydanticAI agents provide a structured, flexible way to interact with LLMs: • Model-agnostic: Agents can work with LLMs like OpenAI, Gemini, and Groq, with Anthropic support planned.

In the global effort to promote green energy policies, understanding and optimizing boiler combustion processes in coal-fired power plants is crucial. During unit start-ups, shutdowns, and load deep ...

SVM_Immunotherapy Codes and data to train the SVM immunotherapy response model. To recreate the exact results and figures used in the final publication you will need to follow the code in the CARMEN ...

The SVM model in both the BUS and T2 groups performed best. Based on the features screened in the BUS, T2, and ADC groups fused to construct the models, the SVM model was found to perform best, with ...

Support Vector Machine (SVM) is originally a binary large-margin classifier emerged from the concept of structural risk minimization. Multiple solutions such as one-versus-one and one-versus-all have ...