Results 241 to 250 of about 3,609,102 (305)

A hyperspectral imaging and machine learning approach for rapid and non-invasive diagnosis of cassava bacterial blight. [PDF]

Front Plant Sci
Carvalho ICB, Ferreira LDC, Neves ARM, Carvalho AMS, Lima HPR, Rossato M.   +5 more
europepmc   +1 more source

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

Advanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan, Karuppasamy Dharmaraj, Thorsten Schultz, Leiqiang Qin, Ningjun Chen, Danielle A. Douglas‐Henry, Bastian Schmiedecke, Merve Buldu‐Akturk, Axel Zuber, Iris Dorbandt, Maximilian Reinhardt, Yael Rodriguez‐Ayllon, Yan Lu, Valeria Nicolosi, Norbert Koch, Johanna Rosen, Michelle P. Browne   +16 more
wiley   +1 more source

Quantifying women's water polo overhead movement volumes using inertial measurement units and machine learning techniques: a cross-sectional study. [PDF]

Sci Rep
King MH, Sanchez R, Watson K, Smith MD, Vicenzino B.   +4 more
europepmc   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Multidimensional maturation of antibody variable domains with machine-learning assistance. [PDF]

MAbs
Ito T, Kawada S, Nakazawa H, Murakami A, Umetsu M.   +4 more
europepmc   +1 more source

Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging. [PDF]

PLoS One
Zeng Z, Liao W, Wu X, Liao X, Ou Y, Zhao L, Zhao L, Luo D, Wang F.   +8 more
europepmc   +1 more source

Machine Learning Techniques Used for the Identification of Sociodemographic Factors Associated With Cancer: Systematic Literature Review.

J Med Internet Res
González-Infante L, Marquez G, Parra-Soto S, Cardona-Valencia M, Taramasco C.   +4 more
europepmc   +1 more source