Results 151 to 160 of about 3,398,718 (314)
Advanced Engineering Materials, EarlyView.More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
Feature Selection with the Boruta Package [PDF]
This article describes a R package Boruta, implementing a novel feature selection algorithm for finding \emph{all relevant variables}. The algorithm is designed as a wrapper around a Random Forest classification algorithm.
Witold R. Rudnicki, Miron B. Kursa
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Advanced Functional Materials, EarlyView.DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Link quality prediction based on random forest
Tongxin xuebao, 2019 Link quality prediction is vital to the upper layer protocol design of wireless sensor networks.Selecting high quality links with the help of link quality prediction mechanisms can improve data transmission reliability and network communication ...
Linlan LIU, Shengrong GAO, Jian SHU
doaj +2 more sources
Minnesota Forest Scene, Issue 19 (Fall 2017)
, 2017 1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources; University of Minnesota, Department of Forest Resources. (2017). Minnesota Forest Scene, Issue 19 (Fall 2017).
University of Minnesota, Department of Forest Resources +1 more
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Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
U.S. Forest Service Report N 81/6/maps
, 1991 Maps accompanying the Final Environmental Impact Statement for the northern Spotted Owl in the national forests in Washington, Oregon, and California showing spotted owl habitat areas, conservation strategy alternatives, critical habitat units, multi ...
United States. Forest Service.
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Neural Random Forest Imitation [PDF]
We present Neural Random Forest Imitation - a novel approach for transforming random forests into neural networks. Existing methods propose a direct mapping and produce very inefficient architectures.
Rosenhahn, Bodo, Reinders, Christoph
core +1 more source
Structure‐Guided Dynamical Mechanics in Bioinspired Double Twisted Laminated Thin Films
Advanced Functional Materials, EarlyView.This work explores a dynamic mechanistic study of crack propagation and puncture testing via real‐time monitoring of crack initiation, propagation, and termination through nature‐inspired single and double twisted architectures fabricated from cellulose nanocrystals.
Justin Brackenridge +4 more
wiley +1 more source
Improving Random Forests [PDF]
, 2004 Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise, does not overfit and offers possibilities for explanation and visualization of its output.
openaire +1 more source