Results 131 to 140 of about 1,036,256 (255)

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Special Section Preface: Digital heritage Knowledge Platforms

, 2020
Fatma Zeynep Aygen, Lauren Davis
openalex   +2 more sources

FRONT MATTER (Cover, Editorial Board, ISSN, Preface, Table of Contents)

, 2021
- -
openalex   +2 more sources

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Preface for the special issue on argument strength

, 2020
Gabriella Pigozzi, Srdjan Vesić
openalex   +2 more sources

A Multi‐instrument Recognition and Autonomous Tracking Control Method for Robot‐Assisted Endoscopic Adjustment

Advanced Intelligent Systems, EarlyView.
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang, Junyi Hu, Yu Han, Wanquan Liu, Fuxing Wei, Jianqing Peng   +5 more
wiley   +1 more source

Intraspecific variation in stomatal architecture, gas exchange, and drought response of a dominant prairie grass sourced from broad climatic gradients

American Journal of Botany, EarlyView.
Abstract Premise Understanding how plant populations adapt to water limitation through stomatal traits is key to predicting drought responses. The dominant C4 grass Andropogon gerardi, distributed across sharp climate gradients in North America, offers an excellent focal species to study stomatal architecture (size and density).
Jack Sytsma, Allison Ricker, Helen Winters, Brian Maricle, Ryann Patterson, Kian Fogarty, Loretta Johnson   +6 more
wiley   +1 more source

Rangewide responses of Mimulus cardinalis to an extreme heat event

American Journal of Botany, EarlyView.
Abstract Premise Extreme events are an understudied aspect of ongoing anthropogenic climate change that could play a disproportionate role in the threat that rapid environmental shifts pose to natural populations. Methods We exposed plants originating from seeds that were harvested before (ancestors) and after (descendants) multiple extreme heat events
Lucas J. Albano, Robin A. Bingham, Sulma Correa, Catherine G. Laufenberg, Cristina Payst, Christopher D. Muir, Seema Nayan Sheth   +6 more
wiley   +1 more source