Results 161 to 170 of about 452,858 (310)
On the asymptotics of random forests
Journal of Multivariate Analysis, 2016 The last decade has witnessed a growing interest in random forest models which are recognized to exhibit good practical performance, especially in high-dimensional settings. On the theoretical side, however, their predictive power remains largely unexplained, thereby creating a gap between theory and practice. The aim of this paper is twofold. Firstly,
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Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Advanced Science, EarlyView.We demonstrated that high humidity worsened psoriasis relapse in murine psoriasiform skin inflammation by increasing skin‐resident memory CD8+ cells via upregulating IL‐15Rα on keratinocytes. The increases in IL‐15Rα and memory CD8+ cells were attributed to S. nepalensis and its metabolite ADMA in skin exposed to high humidity.
Chun‐Ling Liang +10 more
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, 2018 Random Forest is one of the most popular Machine learning algorithms. It is an ensemble of decision trees and each tree is built using an injection of randomness.
Deepika, Mathiyazhagan
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PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC
Advanced Science, EarlyView.CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao +16 more
wiley +1 more source
This paper proposes a novel hybrid approach combining Random Forest machine learning techniques with Genetic Algorithms to solve the order acceptance and scheduling problem with past-sequence-dependent setup times.
陳世興;CHEN;SHIH-HSIN;Wang;Yu-Chen;Liu;Ming-Hsiang;Chang;Chih-Wei
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Climate Change Threatens Micronutrient Density of European Winter Wheat
Advanced Science, EarlyView.Micronutrients are vital for human health. Wheat is a major staple crop and a significant source of minerals and B‐vitamins. The impact of climate change on their content remains largely unknown. We evaluated micronutrient levels in European winter wheat grown under historical and projected climate conditions. Our findings indicate that future climates
Da Cao +17 more
wiley +1 more source
La presente investigación tuvo como finalidad estimar el nivel de riesgo de inundación fluvial mediante el algoritmo Random Forest en el Sector Magllanal, Jaén, Cajamarca.
Muñoz Bustamante,Yeni Lizbeth +1 more
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Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq
Advanced Science, EarlyView.Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su +10 more
wiley +1 more source
Proceedings of the 9th International Conference on Computer Vision Theory and Applications, 2014 Yohei Mishina +2 more
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