Results 141 to 150 of about 5,796,492 (306)

Deep Learning Techniques for Astronomical Object Classification

, 2022
As there are an infinite number of deep space objects, it is crucial to differentiate those space objects such as stars, galaxies, or quasars in recent or upcoming deep astronomical surveys. This task becomes very difficult because of the tedious procedure for separation between edgy and expanded sources, which makes this classification problem a ...
openaire   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
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, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

HeaTrace: A Parametric Design‐to‐Fabrication Workflow for Thermally Programmable Soft Robots

Advanced Intelligent Systems, EarlyView.
A programmable thermal actuation workflow enables soft robots to be designed and fabricated with embedded heaters that drive multiple responses. By combining performance‐driven heater design with multimaterial fabrication, the system supports thermally triggered shape change, stiffness tuning, and thermochromic visual response, as demonstrated through ...
Naresh Kumar Thanigaivel, Thileepan Stalin, Elgar Kanhere, Aby Raj Plamootil Mathai, Konstantin Sakharov, Yong Lin, Hirusha Madhuwantha Loku Hettige, Gumawang Hiramandala, Shlomo Magdassi, Pablo Valdivia Y Alvarado   +9 more
wiley   +1 more source

Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era

The Astronomical Journal
The rapid advancement of image analysis methods in time-domain astronomy, particularly those leveraging artificial intelligence (AI) algorithms, has highlighted efficient image preprocessing as a critical bottleneck affecting algorithm performance. Image
Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li   +5 more
doaj   +1 more source

Subspace Techniques for Radio-Astronomical Data Enhancement

, 2008
Radio astronomical observations have very poor signal to noise ratios, unlike in other disciplines. On the other hand, it is possible to observe the object of interest for long time intervals as well as using a wider bandwidth. Traditionally, by averaging in time and in frequency, it has been possible to improve the signal to noise ratio of ...
openaire   +2 more sources

Engineered 3D Fibronectin‐Based Environments Modulate the Pathogenic Profile of Arthritic Synovial Fibroblasts

Advanced NanoBiomed Research, EarlyView.
Fibroblast behavior is shaped by the surrounding microenvironment, yet conventional culture systems often fail to capture disease‐relevant phenotypes. Here, platform‐dependent responses of healthy and arthritic synovial fibroblasts are examined across 2D and 3D culture systems. Distinct inflammatory and proliferative signatures emerge, highlighting how
Aneesah Khan, Piaopiao Pan, Yanling Lan, Çağlar Çi̇l, Julia Isakova, Yilin Wang, Theodora Rogkoti, Thanutchaporn Sartyoungkul, James F. C. Windmill, Jonathan William, Manuel Salmeron‐Sanchez, Margaret H. Harnett, Oana Dobre, Miguel A. Pineda   +13 more
wiley   +1 more source

Ice‐Droplet and Damaged Elastomer Interfaces: A Closer Look at Contact and Morphology of Anti‐Icing Coatings Using Cryo‐FIB‐SEM

Journal of Applied Polymer Science, EarlyView.
Cryo‐FIB‐SEM is used to mill and image the interfaces of ice droplets frozen on PDMS coatings damaged by abrasion and cutting. Both high‐ and low‐real contact areas are revealed for the first time, with interpenetration dependent on the shape of asperities on the damaged surface.
Catherine M. Megregian, Fraser H. J. Laidlaw, Vasileios Koutsos, Jane R. Blackford   +3 more
wiley   +1 more source

Ultrafast RF Spectrum Analyzer Assisted by Optical Short‐Time Fourier Transform

Advanced Physics Research, EarlyView.
We present Recent efforts in an ultrafast RF spectrum analyzer based on the short‐time Fourier transform (STFT) at over 10 MHz frame rate and over 40GHz bandwidth to improve performance and support applications. All these efforts could inspire more innovative applications of temporal imaging modalities in the future.
Liao Chen, Yufan Du, Rongwu Liu, Chi Zhang, Xinliang Zhang   +4 more
wiley   +1 more source