The innovations described by Hari Suresh Babu Gummadi signal not just technological upgrades but a fundamental shift in how ...

In the contemporary world, Srinivasan Pakkirisamy, a financial systems innovation thought leader, offers a compelling ...

which consists of a Hierarchical Graph neural network Predictor (HGP) to estimate post-implementation PPA accurately, a Tree-structured Design space Modeler (TDM) to remove the invalid configurations, ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm ... Additionally, in graph theory-related problems ...

Abstract: The present work proposes an improved Bayesian optimization (BO) method for the design of broadband radio frequency (RF) power amplifiers (PAs). A new acquisition function (AF) is ...

Google’s search algorithms evolve constantly, and staying ahead of these updates is key to maintaining and improving your website’s rankings. Whether it’s changes to core web vitals ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The bayes_optimization.py file provides classes needed for multi-objective Bayesian optimization and partial dependence plot (PDP) visualization as implemented in the paper. The PA.ipynb is a Jupyter ...

School of Sciences, Xi’an Technological University, Xi’an, Shaanxi 710021, China Institute of Environmental and Energy Catalysis, School of Materials Science and Chemical Engineering, Xi’an ...