Abstract: This work presents a machine learning technique to model the complex-valued scattering parameters (S-parameters) of passive microwave devices as a function of frequency and a set of design ...
Abstract: This paper explores the sliding mode synchronization issue in a fractional-order quaternion-valued Takagi-Sugeno fuzzy neural network model with parametric uncertainty using a ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Audi's Digital Matrix LED headlights use micro-LEDs to project guidance and warnings, but U.S. regulations limit their ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Mid-sized banks have shown fairly strong performance in the December 2025 quarter, and they also trade at valuations much lower than that of the well known large banks, like Kotak Mahindra Bank and ...
The industrial heating sector’s premier gathering is approaching as manufacturers and technology providers prepare for ...
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