Results 41 to 50 of about 3,566,037 (267)

Appendix A. Tables showing interactions and correlations between covariates, and detailed boosted regression tree (BRT) model results.

, 2016
Tables showing interactions and correlations between covariates, and detailed boosted regression tree (BRT) model ...
Candan U. Soykan (192752), Tomoharu Eguchi (163007), Heidi Dewar (262163), Suzanne Kohin (2909660)   +3 more
core   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

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, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Summer and winter habitat suitability of Marco Polo argali in southeastern Tajikistan: A modeling approach

Heliyon, 2017
We modeled summer and winter habitat suitability of Marco Polo argali in the Pamir Mountains in southeastern Tajikistan using these statistical algorithms: Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate ...
Eric Ariel L. Salas, Raul Valdez, Stefan Michel   +2 more
doaj   +1 more source

Epidemic characteristics and transmission risk prediction of brucellosis in Xi'an city, Northwest China

Frontiers in Public Health, 2022
Human brucellosis (HB) has re-emerged in China since the mid-1990s, and exhibited an apparent geographic expansion shifted from the traditional livestock regions to the inland areas of China.
Chenxi Zhao, Chenxi Zhao, Kun Liu, Chenghao Jiang, Xiao Wei, Shuxuan Song, Xubin Wu, Xiaohui Wen, Ting Fu, Li Shen, Zhongjun Shao, Qian Li   +11 more
doaj   +1 more source

Results from the Boosted Regression Tree analyses showing differences among the lamp types for fish catch and size.

, 2019
Results from the Boosted Regression Tree analyses showing differences among the lamp types for fish catch and size.
Benjamin M. Kraemer (7526225), Ismael A. Kimirei (7526231), Colin Apse (4097314), Peter B. McIntyre (7526237), Catherine M. O’Reilly (7526228), Craig Leisher (185586), Huruma Mgana (7526222), Magnus Ngoile (7526234), Peter A. Staehr (7192520)   +8 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Results of boosted regression trees.

, 2015
Results of the eight boosted regression tree models predicting genus richness of Ephemeroptera (E), Plecoptera (P), Trichoptera (T) and combined EPT from climatic, catchment land cover and physical variables in 80 streams across mid-latitude China.
Mathias Kuemmerlen (691295), Qinghua Cai (691297), Jonathan D. Tonkin (729650), Fengqing Li (691296), Deep Narayan Shah (161224), Peter Haase (178579), Sonja C. Jähnig (729651)   +6 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Prediction and Classification of Patients Length of Stay in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern Nigeria

Journal of Applied Sciences and Environmental Management, 2023
The objective of this paper was to predict and classify the attributes that influences patients Length of Stay (LOS) in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern Nigeria using tree-based machine learning algorithms after data ...
S. Suleiman, U. Usman, A. Bello, M. I. Bunza   +3 more
doaj  

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source