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New Patient-Reported, Quality of Life Assessment Tool Developed for Acne Patients

This analysis was conducted to address the fact that, while there are various acne specific instruments to assess quality of life domains, none exist to focus on all of the domains. ....

Ukraine General , Hidradenitis Suppurativa , Pavelv Chernyshov , Task Forces On Qo , National Medical University , Life Relevance Acne , Patient Oriented Outcomes , Root Mean Square Error , Tucker Lewis Index , Mean And Variance Adjusted Weighted Least Square ,

Refined approach to tracking maneuvers of space targets enhances accuracy

Sydney, Australia (SPX) Mar 11, 2024 -
Researchers at the Beijing Institute of Technology have made significant strides in tracking non-cooperative space targets through maneuvering, unveiling a novel methodology that substantially boost ....

New South Wales , Simon Mansfield , Institute Of Technology , Beijing Institute , Local Vertical Horizontal , Jet Transport , Root Mean Square Error , Maneuvering Parameter , Military Space News , Nuclear Weapons , Missile Defense ,

"An intelligent decision support system for warranty claims forecasting" by Ali Nikseresht, Sajjad Shokouhyar et al.

This work develops a novel approach based on Machine Learning (ML)-assisted Quality Function Deployment (QFD) to sift the gold from the stone. It includes Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD), Deep Ensemble Random Vector Functional Link (DE-RVFL), and a Bayesian optimization algorithm for optimizing the shaped DE-RVFLTVF-EMD hyperparameters. This approach makes it possible for the proposed methods to be dynamic enough to deal with the data's volatility, complexity, uncertainty, and ambiguity. It is demonstrated that incorporating TVF-EMD to provide time-frequency analysis along DE-RVFL, and goal-oriented social media analytics boosts the performance of out-of-sample predictions statistically and compensates for the “warranty data maturation” effect. The proposed algorithm's Root Mean Square Error (RMSE) decreases by 23.37%-88.76% relative to other benchmark cutting-edge models. This study contributes significantly to the services management com ....

Machine Learning , Quality Function Deployment , Deep Ensemble Random Vector Functional Link , Root Mean Square Error , Deep Learning , Quality Function Deployment , Social Media Analytics , Time Frequency Analysis , Arranty Claims Prediction ,

Refined approach to tracking maneuvers of space targets enhances accuracy

Sydney, Australia (SPX) Mar 11, 2024 -
Researchers at the Beijing Institute of Technology have made significant strides in tracking non-cooperative space targets through maneuvering, unveiling a novel methodology that substantially boost ....

New South Wales , Simon Mansfield , Institute Of Technology , Beijing Institute , Local Vertical Horizontal , Jet Transport , Root Mean Square Error , Maneuvering Parameter ,

"Online distortion simulation using generative machine learning models:" by Haochen Mu, Fengyang He et al.

In the era of Industry 4.0 and smart manufacturing, Wire Arc Additive Manufacturing (WAAM) stands at the forefront, driving a paradigm shift towards automated, digitalized production. However, online simulation remains a technical barrier toward building a Digital Twin (DT) for metallic AM due to the prolonged computing time of numerical simulations and limitations in accuracy of current data-driven models. This study addresses these issues by introducing an adaptive online simulation model for predicting distortion fields, utilizing a diffusion model architecture for distortion process modelling with a Vector Quantized Variational AutoEncoder coupled with Generative Adversarial Network (VQVAE-GAN) backbone for spatial feature extraction, complemented by a Recurrent Neural Network (RNN) for time-scale result fusion. Pretrained offline with Finite Element Method (FEM) simulated distortion fields, the model successfully predicts distortion fields online using laser-scanned point clouds d ....

Generative Adversarial Network , Artificial Neural Networks , Recurrent Neural Network , Wire Arc Additive Manufacturing , Digital Twin , Vector Quantized Variational Autoencoder , Finite Element Method , Root Mean Square Error , Em Simulation , Etallic Am , Hysics Informed Ml ,