IEEE

A Spatiotemporal Graph Attention-Based Traffic Speed Prediction Method With Bayesian Optimization and Evolutionary Algorithm Mutual Feedback Optimization

Abstract: Accurate traffic speed prediction is a critical precursor for traffic management activities such as congestion prevention, accident warning, and traffic network optimization. Given the ...
Search Engine Land

Entity-first SEO: How to align content with Google’s Knowledge Graph

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...
JD Supra

The Daily AI Routine: A Practicum for Using AI Tools in Context - in Business and IP Litigation

This blog post and audio file is another in the series "Defending the Algorithm™" written, edited and narrated by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and ...
Scientific Research Publishing

Snoek, J., Larochelle, H. and Adams, R.P. (2012) Practical Bayesian Optimization of Machine Learning Algorithms. Advances in Neural Information Processing Systems, Vol. 5, 2951 ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
C&EN

Kβ X-ray Emission Spectra Analysis Using Bayesian Optimization

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this paper, we introduce a methodology to improve upon the ...
Semiconductor Engineering

Moving Past “It Works” — Intelligent Optimization Is the Key to PCB Excellence

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
C&EN

Enhancement of Li-Ion Battery Cathode Performance via Bayesian and Genetic Algorithm Optimization: Experimental and Numerical Analysis

Department of Intelligent Energy and Industry, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea Department of Intelligent Energy and Industry, Chung-Ang University, 84 ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
IEEE

Random Forest Bayesian Optimization Deep Transformer-Based Heterogeneous Spatiotemporal Graph Neural Network for Identifying Parameters in QKD

Abstract: This study presents a comprehensive evaluation of the Random Forest Bayesian Optimization Deep Transformer-Based Heterogeneous Spatiotemporal Graph Neural Network (RFBO-THSGNN) algorithm, a ...