Results 81 to 90 of about 726,968 (222)
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Revista E.T.C. Educação, tecnologia e cultura (arquivo 3 de 4)
Revista do Instituto Federal de Educação, Ciência e Tecnologia da ...
Educação, Tecnologia e Cultura, Revista E.T.C.
core +1 more source
Revista Tecnología en Marcha 29-2. Abril-Junio 2016
Revista Tecnología en Marcha
doaj +1 more source
Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley +1 more source
01 La Tecnologia alternativa [PDF]
Conferència «La tecnologia alternativa» a càrrec de Pep Puig i Quim Corominas, enginyers. El cicle que l’engloba, anomenat La tecnologia al servei de les persones, té per objectiu relacionar àmbits conceptuals no estrictament tecnològics amb la ...
Corominas, Quim, Puig, Pep
core
A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti +6 more
wiley +1 more source
Revista Tecnología en Marcha. Número Especial Movilidad Estudiantil 2014. Volumen 2
Revista Tecnología en marcha
doaj +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Correction on the Figure 6, page 196, to the article Almeida et al. 2014. Free shrinkage of wood determined at the cellular level using an environmental scanning electron microscope. Maderas-Cienc Tecnol 16(2):187- 198.
Maderas. Ciencia y Tecnologia
doaj

