Results 111 to 120 of about 13,412 (254)

U‐Net‐Based Prediction of Concealed Volume Loss in AZ31 From Optical Corrosion Imprints and As‐Exposed Surface Topography

Advanced Intelligent Discovery, EarlyView.
How much material loss is concealed beneath a layer of corrosion products? This proof‐of‐concept study demonstrates how concealed volume loss is inferred from the optical appearance and as‐exposed surface topography of AZ31 corrosion imprints. By predicting postcleaning depth maps, a multimodal U‐Net model estimates hidden volume loss without chromic ...
Lars Dammann, Ci Song, Bahram Vaghefinazari, Tim Würger, Anna Lisitsyna, Shadi Albarqouni, Mikhail L. Zheludkevich, Sviatlana V. Lamaka, Christian Feiler   +8 more
wiley   +1 more source

Higher Intensity Quality Improvement Campaign Yields Greater Reduction in Medical Glove Use: The "Gloves Off!" Campaign. [PDF]

West J Emerg Med
Foong LH, Knox M, Malik A, Hird W.
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Understanding adaptation to digital transformation: evidence from Indian advertising industry. [PDF]

Front Sociol
Joshi PS, Lakshmikantha N.
europepmc   +1 more source

Multirobot Aerial Soft Manipulator for Floating Litter Collection

Advanced Intelligent Systems, EarlyView.
A multirobot aerial manipulator enables autonomous floating litter collection by controlling the shape of a flexible rope equipped with a hook‐based tool. Adaptive rope‐shape planning enhances grasping performance while reducing tension, demonstrating the potential of aerial robots for floating litter removal. Removing floating litter from water bodies
Antonio González‐Morgado, Sander Smits, Guillermo Heredia, Anibal Ollero, Alexandre Krupa, François Chaumette, Fabien Spindler, Antonio Franchi, Chiara Gabellieri   +8 more
wiley   +1 more source

Clinical profile, patient experience, and management of vitiligo in Italy: Data from the National 2024 Vitiligo Week Awareness Campaign. [PDF]

JAAD Int
Zavattaro E, Airoldi C, Tarantino V, Alberti Violetti S, Amerio P, Ardigò M, Argenziano G, Bianchi L, Biondi G, D'Amore A, Dastoli S, Esposto E, Fargnoli MC, Foti C, Gasparini G, Gargiulo L, Giorgione G, Girolomoni G, Guarneri F, Iacovelli P, Magnoni C, Marzano AV, Mastorino L, Mastrandrea V, Micali G, Musumeci ML, Motolese A, Napolitano M, Pacetti L, Paro Vidolin A, Pellacani G, Pilla MA, Pimpinelli N, Pileri A, Piraccini BM, Proietti I, Provenzano E, Quaglino P, Romanelli M, Rongioletti F, Rubegni P, Sarracco G, Scalvenzi M, Scrivani S, Simonetti O, Stingeni L, Zalaudek I, Zichichi L, Zottarelli F, Savoia P.   +49 more
europepmc   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Sustainability in university restaurants: a scoping review of evaluation focus and strategies. [PDF]

J Health Popul Nutr
Peixoto JN, Reis MG, Dantas BA, Buarque PR, de Carvalho IMM, Guimarães NS.   +5 more
europepmc   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

Baseline measurements of bottom water, sediment and nutrients for the benthic environments of Saguenay fjord, Quebec, Canada. [PDF]

Sci Data
Howman RM, Archambault P, Amyot AA, Gagnon J, Solan M.   +4 more
europepmc   +1 more source