Results 21 to 30 of about 470,311 (83)

High‐Fidelity Synthetic Raman Spectra Generation for Sinter Basicity Prediction Using β$$ \beta $$‐Variational Autoencoders

Journal of Raman Spectroscopy, EarlyView.
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira, Daniel Cruz Cavalieri, Adilson Ribeiro Prado, Cassius Zanetti Resende, Erica Simões Rodrigues   +4 more
wiley   +1 more source

Manufacturing Nostalgia in the Digital Age: A Foreverism Perspective

Psychology &Marketing, EarlyView.
ABSTRACT Many scholars argue that we are experiencing the era of “retro”—nostalgia‐driven marketing and consumption phenomena reinforced by digital technologies. However, existing research lacks a critical analysis of nostalgia in contemporary markets and of how digital content, tools, and environments transform retro consumption experiences and alter ...
Dinara Davlembayeva, Davit Marikyan, Jonatan Sodergren, Savvas Papagiannidis, Simos Chari   +4 more
wiley   +1 more source

Review on the development of truly portable and in-situ capillary electrophoresis systems [PDF]

, 2013
Capillary electrophoresis (CE) is a technique which uses an electric field to separate a mixed sample into its constituents. Portable CE systems enable this powerful analysis technique to be used in the field.
Cranny, Andy, Green, Nicolas G, Lewis, Adam, Wharton, Julian A., Stokes, Keith R., Harris, Nick, Wood, R.J.K.   +6 more
core   +1 more source

Low adhesion detection and identification in a railway vehicle system using traction motor behaviour [PDF]

It is important to monitor the wheel-rail friction coefficient in railway vehicles to improve their traction and braking performance as well as to reduce the number of incidents caused by low friction. Model based fault detection and identification (FDI)
Zhao, Yunshi
core   +3 more sources

Clinical Outcome Assessments in Movement Disorders: A Scoping Review of Current Rating Scales and Future Needs Beyond Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Clinical outcome assessments (COA) are essential for evaluating symptom severity, treatment response, and disease progression in movement disorders. As clinical knowledge evolves, it is necessary to ensure COAs continued relevance and validity.
Panagiota Tsitsi, Evita Papathoma, Nirosen Vijiaratnam, Camila Aquino, Stephen R. Duma, Norbert Kovacs, Kigocha Lameck Okeng'o, Aparna Wagle Shukla, Roongroj Bhidayasiri, Alberto J. Espay, Tiago A. Mestre, Alvaro Sanchez Ferro, Michelle H.S. Tosin, Matej Skorvanek, Ioanna Markaki   +14 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Re-adhesion control for a railway single wheelset test rig based on the behaviour of the traction motor [PDF]

, 2013
A method for detecting wheel slip/slide and re-adhesion control of AC traction motors in railway applications is presented in this paper. This enables a better utilisation of available adhesion and could also reduce wheel wear by reducing high creep ...
Liang, B., Liang, Bo, Zhao, Yunshi, Zhao, Y.   +3 more
core   +1 more source

Strategies for enhancing sensitivity in lateral flow assays

VIEW, EarlyView.
Lateral flow assays (LFAs) are essential for cost‐effective, rapid point‐of‐care diagnostics. However, conventional colourimetric LFAs often lack the sensitivity required for low‐abundance biomarkers. This review evaluates six enhancement strategies: flow modulation, sample preconcentration, advanced reporters, chemical signal amplification, structural
Aylar Eslami Saed, Jacopo Giaretta, Syamak Farajikhah, Fariba Dehghani   +3 more
wiley   +1 more source

Democratising Multi‐Projector Displays

Computer Graphics Forum, EarlyView.
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley   +1 more source

Few Shot Learning for Flame State Monitoring From Limited Visible and Infrared Images

Expert Systems, Volume 43, Issue 11, November 2026.
ABSTRACT The success of machine learning in image‐based combustion monitoring requires big data, which is costly, and even impossible in industrial applications. To address this, we introduce metric‐based few shot learning for combustion monitoring and classification, to the best of our knowledge, for the first time.
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis   +2 more
wiley   +1 more source