IEEE

Differential Via Modeling Using Multilayer Perceptron-Sequential (MLP-SEQ) Neural Network

Abstract: In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion ...
C&EN

Integrating Machine Learning into Free Energy Perturbation Workflows

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Free energy perturbation (FEP) methods are among the most accurate tools in ...
VentureBeat

Google's new Agent Payments Protocol (AP2) allows AI agents to complete purchases — is your enterprise ready?

In an ideal world, AI agents would complete all the tasks we ask of them. With the rise of browser agents that can surf the web and click around on interactive menus and elements like humans do, the ...
Frontiers

Integrating deep learning features from mammography with SHAP values for a machine learning model predicting over 5-year recurrence of breast ductal carcinoma In Situ post ...

1 Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China 2 Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China ...
IEEE

Optimization of HBVD-EMAT Based on Orthogonal Experimental and Multilayer Perceptron Fusion Method

Abstract: HBVD-EMAT is an electromagnetic acoustic transducer (EMAT) composed of a Halbach magnet and a variable distance meander-line coil. By introducing a linear frequency-modulated (LFM) signal ...