Results 101 to 110 of about 914,879 (290)

Tantalum–Palladium Ultrathin Resistance Hydrogen Sensor

Advanced Functional Materials, EarlyView.
Nanoconfined Ta‐alloy thin films enable fast, reversible hydrogen sensing by suppressing unwanted phase transitions. A Ta0.88${\rm Ta}_{0.88}$Pd0.12${\rm Pd}_{0.12}$ sensing layer delivers hysteresis‐free detection from ppb to 100% H2${\rm H}_2$ at room temperature.
Folkert Isaäc Bernhard Straus, Herman Schreuders, Lars Johannes Bannenberg   +2 more
wiley   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

Comparing Gradient Boosting and Neural Networks in Predicting Age Based on Coronal Pulp Height from Panoramic Radiographs – A Retrospective Radiographic Study

Journal of Indian Academy of Oral Medicine and Radiology
Background: Age estimation is the process of establishing an individual’s age using biological indicators. It is extremely important in many domains, including forensic science, anthropology, and legal medicine.
Kishorwara Ramamoorthy, Devika S. Pillai, Pradeep Kumar Yadalam, Prasanthi Sitaraman   +3 more
doaj   +1 more source

Hyperparameters of the Gradient Boosting tree.

, 2023
The hyperparameters listed here are those applied to the Gradient Boosting tree of the Python package scikit-learn, tuned with the hyperopt package. The value of the random_state is 2. (PDF)
Teo Nguyen (16469398), Kerrie Mengersen (177006), Damien Sous (9529875), Benoit Liquet (443623)   +3 more
core   +1 more source

A Nonlinear Organic Low‐Frequency Sound Sensor Based on Electrochemical Coupling in a Solidified Gel Membrane

Advanced Functional Materials, EarlyView.
A novel nonlinear infrasound sensor concept based on a free‐standing ion conductive gel membrane is introduced. Acoustic signals are directly transduced into an electrical signal using an internal application mechanisms (gating). The nonlinearity might be used for neuromorphic in‐sensor computing. ABSTRACT Measuring low‐frequency or infrasound acoustic
Maarten Mittmann, Carsten Habenicht, Andreas Hofacker, Richard Kantelberg, Stefan Jacob, Karl Leo, Hans Kleemann   +6 more
wiley   +1 more source

Gradient Boosting Reinforcement Learning

CoRR
to be published in the Forty-Second International Conference on Machine ...
Benjamin Fuhrer, Chen Tessler, Gal Dalal
openaire   +4 more sources

Keyword occurrences by year for partial least squares regression, random forest, and gradient boosting in metabolomics publications on PubMed.

, 2023
The data shown is from 2007–2022. For partial least squares regression, the following keywords were used for the search as described in the method section: ("Metabolomics"[Mesh] OR metabolite* OR metabolom* OR metabonom*) AND ("Partial least squares*" OR
Olatomiwa O. Bifarin (15411649)
core   +1 more source

Heteroengineering‐Induced Electronic Reconstruction for Ammonium‐Ion Energy Storage

Advanced Functional Materials, EarlyView.
An integrated electronic reconstruction behavior is induced by local heteroengineering on VO2(B) electrode material surface of NH4+ supercapacitor, rationally modulating the electronic structure, enabling enhanced intrinsic conductivity and extra driving force for NH4+ intercalation reaction.
Ji‐Chi Liu, Nuo Xu, Liberty L. Mguni, Kexin Wang, Lanxiang Ma, Ying Sun, Hui Li, Lingfeng Zhu, Yali Yao, Xu Han, Zi‐Hang Huang, Tianyi Ma   +11 more
wiley   +1 more source

Boosting approach to brine viscosity estimation: Binary system development

Chemical Thermodynamics and Thermal Analysis
Accurate prediction of brine viscosity is essential for the design and optimisation of desalination, hydrometallurgical, and energy-storage systems. In this work, machine-learning-based regression models were developed to predict the viscosity of binary ...
Vinita Sangwan, Rashmi Bhardwaj, Andrés Soto-Bubert, Roberto Acevedo   +3 more
doaj   +1 more source

Introducing Gradient Boosting as a universal gap filling tool for meteorological time series

Meteorologische Zeitschrift, 2018
In this article, Gradient Boosting (gb) is introduced as an easily adaptable machine learning method to fill gaps caused by missing or erroneous data in meteorological time series.
Philipp Körner, Rico Kronenberg, Sandra Genzel, Christian Bernhofer   +3 more
doaj   +1 more source