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"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 ,

Analyzing GNSS Radio Frequency Interference Events in Canada - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

This study examines the frequency, type and severity of interference events at specific locations in the country, providing valuable insights into the use of detectors, the nature of interference encountered, their potential sources and the impact on GNSS-derived positions. NURAG RAGHUVANSHI, SUNIL ....

British Columbia , Anurag Raghuvanshi , Broadsense Datasets , Sunil Bisnath , Spirent Datasets , Jason Bond , Novatel Pwrpak , Department Of Fisheries , Network Of Low Cost Front , York University , Software Defined Radio , Economic Development Spectrum Management , International Conference On Localization , Department Of Earth , Timing Office , International Technical Meeting Of The Satellite Division , Monitoring Network , Natural Resources Canada Canadian Geodetic , Systems Engineer At Honeywell Aerospace , York University Department Of Earth , Economic Development , Economic Development Canada , Ohio University , Institute Of Navigation , University Of New Brunswick , Authority Perspective ,

New approach to monitor blood flow in the feet of patients with type 2 diabetes

Aston University scientists have discovered a more accurate way of checking the blood flow in the feet of patients with type 2 diabetes. ....

Viktor Dremen , Igor Meglinski , Emily Henderson , Aston University , Aston Institute Of Photonic Technologies , Discovery Industry Focus , Skin Vascular Complications Revealed , Time Frequency Analysis , Laser Doppler Spectrum Decomposition , Waston Institute , Photonic Technologies , Type 2 Diabetes ,

Vertical Flight Society Announces Winner of 2022 Alfred Gessow Best Paper Award

Vertical Flight Society Announces Winner of 2022 Alfred Gessow Best Paper Award
prweb.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prweb.com Daily Mail and Mail on Sunday newspapers.

United States , West Palm Beach , The Forum , Kate Russell , Eric Bechhoefer , Eric Greenwood , Russell Enns , Nicholas Flynn , Darryl Toni , David Coleman , Mike Lengyel , Carl Ockier , Garethd Padfield , Markd White , Hans Desmidt , Nick Weinzapfel , Tom Berger , Josephine Roscoe , Stevenj Hodge , Carl Russell , Marv Richards , Vera Klimchenk , Tanmay Mathur , Emily Fisler , Richard Healy , Dan Ferrante ,

"Micro-displacement and Profile Measurement Using a Selfmixing Interfer" by Han Wang

Abstract
Self-mixing interferometry (SMI) is a promising non-contact sensing technology, which has attracted much research attention in the last few decades. The SMI effect takes place when a small portion of laser is back-scattered from an external target and re-enters the laser diode (LD) internal cavity. A typical sensing system using an SMI configuration consists of an LD as the laser source, a target to reflect the laser, a photo diode (PD) to capture the optical signal. This configuration indicates the SMI-based sensing technology’s merits of minimum part-count scheme, low cost in implementation and ease in optical alignment. Various SMI-based sensing applications have been reported, including the measurement of displacement, velocity, vibration, laser related parameters, thickness, mechanical resonance, imaging, material parameter measurement, near-field microscopy, chaotic radar, acoustic detection, biomedical applications, etc. ....

Fast Fourier Transform , Self Mixing Interferometry , Semiconductor Laser Diode , Micro Displacement Sensing , Profile Measurement , Time Frequency Analysis , குறைக்கடத்தி லேசர் டையோடு , ப்ரொஃபைல் அளவீட்டு , நேரம் அதிர்வெண் பகுப்பாய்வு ,