Results 61 to 70 of about 1,171,833 (351)
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Multi-Objective Unsupervised Feature Selection and Cluster Based on Symbiotic Organism Search
AlgorithmsUnsupervised learning is a type of machine learning that learns from data without human supervision. Unsupervised feature selection (UFS) is crucial in data analytics, which plays a vital role in enhancing the quality of results and reducing ...
Abbas Fadhil Jasim AL-Gburi +3 more
doaj +1 more source
End-to-end learning of 3D phase-only holograms for holographic display
Light: Science & Applications, 2022 Combining supervised and unsupervised learning, a new machine-learning system synthesizes high-quality 3D phase-only holograms end-to-end without human intervention and corrects vision aberrations.
Liang Shi, Beichen Li, Wojciech Matusik
doaj +1 more source
Unsupervised Machine Learning for Improved Delaunay Triangulation
Journal of Marine Science and Engineering, 2021 Physical oceanography models rely heavily on grid discretization. It is known that unstructured grids perform well in dealing with boundary fitting problems in complex nearshore regions.
Tao Song +7 more
doaj +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales +11 more
wiley +1 more source
Journal of Marine Science and Engineering, 2021 The global greenhouse gas emitted from shipping activities is one of the factors contributing to global warming; thus, there is an urgent need to mitigate the adverse effect of climate change.
Zhi Yung Tay +4 more
doaj +1 more source
Automatic microseismic event picking via unsupervised machine learning
Geophysical Journal International, 2020 Effective and efficient arrival picking plays an important role in microseismic and earthquake data processing and imaging. Widely used short-term-average long-term-average ratio (STA/LTA) based arrival picking algorithms suffer from the sensitivity to
Yangkang Zhang
semanticscholar +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches
JMIR Formative Research, 2023 BackgroundMeasles, a highly contagious viral infection, is resurging in the United States, driven by international importation and declining domestic vaccination coverage.
Boshu Ru +5 more
doaj +1 more source