Introduction to Rapid Prediction

Rapid prediction of seismic ground motion can help with the assessment of seismic damage during earthquake emergencies.

Machine learning is a data analysis method with strong learning ability and rapid prediction ability.

By comparing the characteristics of the transformer model and boosting models, it can be analyzed that, each model has its own advantage, which provides novel clues and inspiration for the rapid prediction of food allergens in the future.

Developing an accurate and rapid prediction approach is crucial for the analysis of the fluid excitation rotordynamics of the labyrinth seal.

Accurate and rapid prediction of rock compressive strength has great engineering value in guiding the efficient construction of rock mass engineering in a cold regions.

The rapid prediction of CF is crucial in ensuring the stable operation of such systems.

This study explores the viability of the application of Near Infrared Spectrometry (NIR) for the rapid prediction of the ratio of 13C/12C stable isotopes and fatty acid composition in Iberian pigs.

By comparing the characteristics of the transformer model and boosting models, it can be analyzed that, each model has its own advantage, which provides novel clues and inspiration for the rapid prediction of food allergens in the future.

This shows that hyperspectral reflectance data contains substantial information about key grass qualities and can form part of a broader holistic data-driven approach to provide accurate and rapid predictions to farmers, agronomists, and agricultural contractors.

The method is not only suitable for cavitation performance prediction of the mixed flow pump, but also can be expanded to cavitation performance prediction of blade type hydraulic machinery, which will solve the problem of rapid prediction of hydraulic machinery cavitation performance.

For the rapid prediction of new query molecules, the models were trained on geometries from an inexpensive theory.

Rapid prediction of deformation behaviors of concrete face rockfill dams (CFRDs) is of great significance in guiding their design and construction.

Thus, this work aims to develop a reliable linear model for rapid prediction of temperature fields, i.

Our experimental results demonstrate superior modeling capabilities of SNNs, achieving accurate and rapid prediction for each task.

An efficient aerodynamic analysis was conducted for rapid prediction of the aerodynamic performance of air-breathing hypersonic vehicles in the early design phase.

Accurate and rapid prediction of temperature distribution in a large Li-ion battery pack comprising thousands of cells is critical for ensuring safety and performance of battery packs for electric vehicles.

Based on the prediction program, the calculation results of RELAP5/SCDAPSIM program were studied, which could realize the rapid prediction for the thermal-hydraulic parameters of nuclear reactor system, and were in good agreement with the calculation results of RELAP5/SCDAPSIM program.

Rapid prediction of ground motions of major earthquakes can assist emergency response and postseismic damage assessment.

We regarded the Mach number, flight altitude and angle of attack as input parameters and established a rapid prediction model.

The research results show that the proposed method is not only suitable for the safety assessment of ship structures in the conceptual design stage, but also meets the requirements of rapid prediction of real ship wave loads and structural strength reliability analysis.

At the same time, the prediction accuracy and running time of the line temperature under several existing neural networks are analyzed and compared, then based on the LSTM network with the highest accuracy, a temperature prediction method based on Long Short Time Memory and Extreme Learning Machine(LSTM-ELM) network is proposed to realize the rapid prediction of line temperature.

The experimental outcomes indicate accurate and rapid prediction performance on the test dataset of 2D B-mode ultrasound images, signifying a promising approach for assistance to radiologists in clinical applications with the use of deep learning.

The accurate and rapid prediction of ticket prices for a public-private partnership (PPP) subway system, which is an important research topic in the field of civil engineering management, is of critical importance to ensure its smooth operation.

During early design stage, accurate and rapid prediction of energy consumption could provide a quantitative basis for energy-saving designs.

The model framework allows more rapid prediction of the shape and size of an epidemic to improve scaling of the response.

The results are then applied to a Micro-Electro-Mechanical System-like shallow arch structure, to show how the analytical expression of the Neimark-Sacker boundary curve can be used for rapid prediction of the appearance of quasiperiodic regime, and thus frequency combs, in Micro-Electro-Mechanical System dynamics.

Thus, the proposed method can be used for the reliable and rapid prediction of water quality using only monitoring data as input.

The rapid prediction of water pollution is the basis for timely and effective emergency control and disposal measures.

It can provide the exact and rapid prediction for the electromagnetic response of SISL devices.

This study attempted to mine hyperspectral data in the range of 900-1700 nm for non-destructive and rapid prediction of nitrite contents in sausages.

Its computationally light architecture delivers a fivefold improvement in training time and a rapid prediction, essential to real-time applications.

In this work, we aid the development of novel polymers for high voltage insulation applications by enabling the rapid prediction of properties that are correlated with dielectric breakdown, i.

We therefore foresee a wide range of advantages in using DL models for coastal applications: probabilistic coastal flood hazard assessment, rapid prediction of storm surge estimates, future predictions of surge levels.

This paper proposes a closed-form expression for the rapid prediction of long-term deflections in simply supported steel–concrete composite bridges under the service load.

The present paper is devoted to rapid prediction of fatigue performance of materials for medium- and high-cycle fatigue based on the thermography approach.

Analytical approximations can be useful in nuclear fuel performance codes, such as ELESTRES/ELOCA for providing very rapid predictions of power distributions with reduced computational effort and memory requirements, relative to using an embedded or coupled neutron transport / burnup reactor physics code.

Accurate and rapid prediction of dielectric constant (e) for polymer-based dielectrics at various frequencies remains challenging.

2% over the iGMAS ultra-rapid prediction products at 3, 6, 12, and 24 h prediction spans, respectively, when using clock bias products of 2-day arcs for modeling.

Predictions of habitat suitability, in combination with evidences of optimal transmission of advertisement calls of invasive amphibians, could be a valuable tool for rapid prediction of the potential impact of such species and the identification of prioritized areas to implement management strategies.

Finally, ARIMA(2,1,1) and ARIMA(1,1,1) parameters were used to realize the rapid prediction of corrosion rate trend, with the minimum average error of 10.

The experimental results show that the gas diffusion range obtained by the algorithm is wide, the gas diffusion prediction efficiency can reach up to 75%, and the gas diffusion source positioning accuracy can reach up to 70%, which shows that the method can realize the accurate and rapid prediction of gas diffusion, and has a positive and important role in the study of natural gas diffusion and environmental governance and optimization of port area.

CONCLUSION NIR spectroscopy can realize the rapid prediction of mineral elements(calcium, phosphorus and potassium) in wheat flour.

Although developed for porous materials, the derived combined models could be applied for the accurate and rapid prediction of the thermophysical and mechanical properties of multi-phase materials with unknown microstructure such as two-ductile-phase alloys, nanocomposites, hetero- and harmonic-structured materials, and immiscible alloys.

Results demonstrate that the rapid predictions with a short measurement time from our proposed ANN method are compatible with the calculated ones from previous studies that were obtained with long measurement times.

The development of high-throughput genotyping in the last decade enabled reliable and rapid predictions of breeding values based only on marker information.

IMPORTANCE: Accurate and rapid prediction of the probability of dying from COVID-19 infection might help triage patients for hospitalization, intensive care, or limited treatment.

The computational complexity of the NN-TMFCC method is independent of the protein size and only depends on the number of residue species, which makes this method particularly suitable for rapid prediction of large systems with tens of thousands or even hundreds of thousands of times acceleration.

In this work, we develop a deep learning architecture to learn the solid–liquid interface of polymorphs of calcium carbonate, allowing for the rapid predictions of density profiles with reasonable accuracy.

Thus, this may contribute to the rapid prediction of soil texture based on knowledge of the particle size distribution.

Compared with existing models, the proposed prediction approach provided a rapid prediction of optimal PAP with higher accuracy.

Those results revealed the potential of fluorescence spectroscopy as a tool for a rapid prediction of soybean protein and oil content.

A novel and highly efficient COVID-DeepNet model is presented for the accurate and rapid prediction of COVID-19 infection using state-of-the-art Artificial Intelligence techniques.

The obtained results are of practical importance and can be used for rapid prediction of the liquidity temperature of furnace slags and adjustment of their chemical composition in accordance with technological requirements.

OpenEP displays a highly efficient shared memory implementation by taking advantage of parallel resources; this permits a rapid prediction of optimal EP-based treatment efficiency by pulse number tuning.

This shows that hyperspectral reflectance data contains substantial information about key grass qualities and can form part of a broader holistic data driven approach to provide accurate and rapid predictions to farmers, agronomists and agricul-.

A numerical profile-transformation program is developed for rapid prediction of the output profiles of arbitrary sequences of predefined microsteps.

To provide a simple and rapid prediction of the strength of plain weave fabric composites under biaxial tension a novel micromechanical model is proposed in this paper.

CONCLUSION We demonstrated that, with the structures of the PTV and OARs as inputs, the 3D cGAN is excellent at the rapid prediction of radiation dose distributions of VMAT plans for prostate cancer that closely resemble clinically delivered doses.

These downscaling methods are typically computationally intensive, limiting their use for situations where rapid predictions are required.

These findings can provide technical support for the rapid prediction and evaluation of N pollution in shallow groundwater through easily available indicators.

Both models can be applied for rapid screenings, though models developed from NIR spectra by integrating sphere on solid wood are considered more suitable for rapid predictions of extractive content in unknown wood specimens.

This approach may enable the rapid prediction of treatment response and the identification of optimal doses that may yield improved outcomes.

At present, a rapid prediction of disease severity and critical care requirement in COVID-19 patients, in early stages of disease, remains an unmet challenge.

Results  The comparisons show that the presented analytical method is reliable, this simplified theoretical analysis method can provide designers with rapid prediction regarding the maximal plastic deformation and collision force of a ship plate under ice floe impact.

Aiming at the problems of long time, low accuracy and high energy consumption in detecting the health status of retired power batteries at this stage, a rapid prediction method of battery state of charge (SOC) and state of health (SOH) based on electrochemical impedance spectroscopy (EIS) is proposed.

Conclusions We have established a new algorithm with high accuracy to predict BP classification from PPG via matching of CWT type and segment length, which is a promising solution for rapid prediction of BP classification from real-time processing of PPG signal on a wearable device.

The results reveal that the predicted accuracy of NIRS model is very high, and meet the requirements of rapid prediction of BMP for co-AD feedstocks in practical biogas engineering.