Results 81 to 90 of about 387,320 (324)
Unsupervised Distributed Feature Selection for Multi-view Object Recognition [PDF]
Object recognition accuracy can be improved when information frommultiple views is integrated, but information in each view can oftenbe highly redundant.
Christoudias, C. Mario +2 more
core
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
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
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
A flexible hybrid patch integrating a robust cold atmospheric plasma (CAP) system with a high‐power, ultrathin bio‐OLED was developed to enable synergistic wound healing. This multimodal therapy, combining plasma and photodynamic treatment, enhanced angiogenesis, cell proliferation, and collagen deposition, demonstrating superior in vivo efficacy and ...
Jun‐Yeop Song +11 more
wiley +1 more source
Clustering Artikel Berita Berbahasa Indonesia Menggunakan Unsupervised Feature Selection [PDF]
Meningkatnya penggunaan internet telah memicu pertumbuhan dan pertukaran informasi menjadi jauh lebih pesat dibandingkan era sebelumnya. Volume berita elektronik berbahasa Indonesia semakin bertambah besar dan menyimpan informasi yang berharga di ...
Baizal, Z. A. (ZK) +2 more
core
We measure the cell‐specific responses of administering infusible ECM (iECM) in acute myocardial infarction (MI) across multiple timepoints. Using single‐nucleus RNA sequencing and spatial transcriptomics, we measure macrophage activation, fibroblast remodeling, increased vascular development, lymphangiogenesis, cardioprotection, and neurogenesis ...
Joshua M. Mesfin +18 more
wiley +1 more source
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning [PDF]
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depends on the number of observations.
Bach, Francis
core +3 more sources
Predictable Features Elimination: An Unsupervised Approach to Feature Selection
We propose an unsupervised, model-agnostic, wrapper method for feature selection. We assume that if a feature can be predicted using the others, it adds little information to the problem, and therefore could be removed without impairing the performance of whatever model will be eventually built.
Pietro Barbiero +2 more
openaire +3 more sources
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

