A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...
Abstract: This paper presents an automated deep learning-based design methodology to facilitate the design and optimization processes in electro-mechanical energy conversion devices. To validate the ...
Abstract: Developing a reliable parametric cost model at the conceptual stage of the project is crucial for project managers and decision makers. Existing methods, such as probabilistic and ...