Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science [PDF]
Experiment planning algorithms are a required component of autonomous platforms for scientific discovery. Selecting a suitable optimization algorithm for a novel application is an important yet difficult choice a researcher has to make based on past ...
Alán, Aspuru-Guzik +6 more
core +1 more source
The purpose of this work is to investigate the responses of multiple parameters to the Madoi earthquake preparation. A new method is employed to extract anomalies in a geomagnetic field.
Yali Wang +6 more
doaj +1 more source
Non Data Aided Parameter Estimation for Multi-User ARGOS Receivers [PDF]
In this paper, parameter estimators are analyzed in the context of Successive Interference Cancelation (SIC) receivers for the ARGOS system. A Non Data Aided (NDA) feed forward estimator is proposed for the amplitude and the carrier phase parameters ...
Benoit Escrig +9 more
core +1 more source
Research progress of seismic remote sensing anomalies based on multi-parameter combined analysis
Satellite Earth observation technology is a powerful tool for real-time monitoring of earthquake activity in seismogenic areas and emergency rescue after earthquakes on a global scale. In the past few decades, varieties of satellite observation data have
Xuecan Jia +3 more
doaj +1 more source
Multi-Parameter Optimization Design of Axial-Flow Pump Based on Orthogonal Method
The axial-flow pump is a widely used piece of general machinery which consumes large amounts of energy. In this study, an axial-flow pump with the specific speed of 536 is firstly designed and experimentally measured; then, the orthogonal method is ...
Zhenxing Dai +3 more
doaj +1 more source
An Integrated Detection Based on a Multi-Parameter Plasmonic Optical Fiber Sensor
In this paper, a multi-parameter integrated detection photonic crystal fiber (PCF) sensor based on surface plasmon resonance (SPR) is proposed for its application in detecting temperature, magnetic field, and refractive index. The air holes on both sides
Gongli Xiao +9 more
doaj +1 more source
Frequency-Wavenumber Domain Elastic Full Waveform Inversion with a Multistage Phase Correction
Elastic full waveform inversion (EFWI) is essential for obtaining high-resolution multi-parameter models. However, the conventional EFWI may suffer from severe cycle skipping without the low-frequency components in elastic seismic data.
Yong Hu +4 more
doaj +1 more source
A kernel for multi-parameter persistent homology
24 pages, 5 ...
René Corbet +4 more
openaire +5 more sources
Reply to determining structural identifiability of parameter learning machines [PDF]
The paper Ran and Hu (2014, Neurocomputing) examines identifiability and parameter redundancy in classes of models used in machine learning. This note discusses the results on global identifiability and also clarifies that the paper's results on ...
Cole, Diana J.
core +1 more source
Does Your Species Have Memory? Analysing Capture-Recapture Data with Memory Models. [PDF]
1. We examine memory models for multi-site capture-recapture data. This is an important topic,as animals may exhibit behaviour that is more complex than simple first-order Markov movement between sites, when it is necessary to devise and fit appropriate ...
Morgan, Byron J. T. +12 more
core +1 more source

