Results 91 to 100 of about 698,809 (305)

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source

Lifting the Blanket: Why Is Wholesale Electricity in Southeast European (SEE) Countries Systematically Higher than in the Rest of Europe? Empirical Evidence According to the Markov Blanket Causality and Rolling Correlations Approaches

Energies
We investigate the key factors that shape the dynamic evolution of Day-Ahead spot prices of seven European interconnected electricity markets of the Core Capacity Calculation Region, Core CCR (Austria AT, Hungary HU, Slovenia SI, Romania RO), the ...
George P. Papaioannou, Panagiotis G. Papaioannou, Christos Dikaiakos   +2 more
doaj   +1 more source

Markov blanket-based universal feature selection for classification and regression of mixed-type data

Expert systems with applications, 2020
Feature selection has been successfully applied to improve the quality of data analysis in various expert and intelligent systems. However, because most real-world data nowadays come with mixed features, traditional feature selection approaches that are ...
Junghye Lee, Jun-Yong Jeong, C. Jun
semanticscholar   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Switching Spike Plasticity Shapes ACE2 Engagement Across SARS‐CoV‐2 Variants

Advanced Science, EarlyView.
Conformational plasticity governs SARS‐CoV‐2 spike function and ACE2 recognition. Using high‐speed AFM and single‐molecule force spectroscopy, we analyzed the ancestral spike and nine variants, revealing progressive rigidification from Delta, variable plasticity in Omicron sublineages, and JN.1 compaction.
Sarah Stainer, Rong Zhu, Manuel Reithofer, Gerhard Stadlmayr, Katharina Stadlbauer, Panchika Prangkio, Christoph Rippel, Markus Hahn, Aniko Eva Kasztner, Stefanie Stohl, Petr Bednar, Daniel Ruzek, David Glück, Robert Tampé, Gordana Wozniak‐Knopp, Yoo Jin Oh, Miriam Klausberger, Peter Hinterdorfer   +17 more
wiley   +1 more source

Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models

Water Resources Research, 2018
Flood damage estimation is a core task in flood risk assessments and requires reliable flood loss models. Identifying the driving factors of flood loss at residential buildings and gaining insight into their relations is important to improve our ...
Kristin Vogel, Laura Weise, Kai Schröter, Annegret H. Thieken   +3 more
doaj   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Unsupervised Representative Feature Selection Algorithm Based on Information Entropy and Relevance Analysis

IEEE Access, 2018
Feature selection plays an important role in preprocessing in pattern recognition and data mining, especially in large scale image, digital text, and biological data.
Yintong Wang
doaj   +1 more source

Probing the Energy Landscape of α‐Synuclein Amyloid Fibril Formation by Systematic K‐to‐Q Mutagenesis

Advanced Science, EarlyView.
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka, Azad Farzadfard, Jacob Aunstrup Larsen, Rasmus Krogh Norrild, Federica Saraceno, Celia Fricke, Hossein Mohammad‐Beigi, Ahmed Sadek, Jonas Folke, Susana Aznar, Alexander K. Buell   +10 more
wiley   +1 more source

Evaluating Directed Acyclic Graphs with DAGMetrics: Insights from Tuber and Soil Microbiome Data

Agronomy
Understanding and evaluating directed acyclic graphs (DAGs) is crucial for causal discovery, particularly in high-dimensional and small-sample datasets such as microbial abundance data.
Pavel Averin, Ifigeneia Mellidou, Maria Ganopoulou, Aliki Xanthopoulou, Theodoros Moysiadis   +4 more
doaj   +1 more source