IEEE

Adaptive Separate Variational Mode Extraction Method for Noncontact Multivariable Vital Signs Monitoring Using FMCW Radars

Abstract: The breath rate (BR), heart rate (HR), breathing-breathing interval (BBI), and HR variability (HRV) are the critical vital sign parameters. In this article, a novel method named adaptive ...
GitHub

Hierarchical Patch Based Transformer with Learnable Weighted Loss Optimization for Multivariate Time Series Forecasting (HPBTF)

Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...
Frontiers

Left-Deep Join Order Selection with Higher-Order Unconstrained Binary Optimization on Quantum Computers

The final, formatted version of the article will be published soon. Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new ...
C&EN

Multivariate Optimization of an Eco-Friendly Zinc-Based MOF for Adsorptive Removal of Emerging Contaminants in Food Samples

Research Laboratory in Bionanomaterials, LPbio, Department of Chemistry, Federal University of Viçosa, 36570-900 Viçosa, Minas Gerais, Brazil ...
C&EN

Cone-Shaped Constrained Quasi-Newton Method: Efficient and Robust Single-Ended Transition State Optimization Algorithm

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
IEEE

Robust Energy Management Optimization for PHEB Considering Driving Uncertainties by Using Sequential Taguchi Method

Abstract: In this article, a robust optimization design method is presented to improve the energy management effect of plug-in hybrid electric buses (PHEBs). Various uncertain factors are taken into ...