Results 211 to 220 of about 90,794 (290)

Continuous wavelet transform in the study of the time-scale properties of intracranial pressure in hydrocephalus. [PDF]

Philos Trans A Math Phys Eng Sci, 2018
García M, Poza J, Santamarta D, Romero-Oraá R, Hornero R.   +4 more
europepmc   +1 more source

Metamaterial Antennas Enhance MRI of the Eye and Occipital Brain

Advanced Materials, EarlyView.
A radiofrequency antenna platform comprising planar and bend configurations is developed, incorporating structurally integrated epsilon‐negative metamaterial unit cells to enhance MRI. These antennas enable high‐resolution in vivo human MRI of the eye, orbit, and occipital brain. Comprehensive validation, including simulations, phantom experiments, SAR,
Nandita Saha, Bilguun Nurzed, Mostafa Berangi, Andre Kuehne, Helmar Waiczies, Igor Fabian Tellez Ceja, Xiang Hu, Thomas Gladytz, Lisa Krenz, Dave Huebler, Beate Endemann, Claudia Brockmann, Ebba Beller, Oliver Stachs, Thoralf Niendorf   +14 more
wiley   +1 more source

Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks. [PDF]

Front Physiol, 2018
He R, Wang K, Zhao N, Liu Y, Yuan Y, Li Q, Zhang H.   +6 more
europepmc   +1 more source

Gapless Superconductivity From Extremely Dilute Magnetic Disorder in 2H‐NbSe2‐xSx

Advanced Materials, EarlyView.
We demonstrate that 2H‐NbSe2‐xSx hosts gapless superconductivity at unexpectedly low magnetic impurity concentrations. Combining STM, Bogoliubovde Gennes simulations, DFT, and quasiparticle interference, we comprehensively study the development of gapless behavior and show that SeS substitution reshapes the band structure, enhances nesting, and drives ...
Jose Antonio Moreno, Mercè Roig, Víctor Barrena, Edwin Herrera, Alberto M. Ruiz, Samuel Mañas‐Valero, Antón Fente, Anita Smeets, Jazmín Aragón, Yanina Fasano, Beilun Wu, Maria N. Gastiasoro, Eugenio Coronado, José J. Baldoví, Brian M. Andersen, Isabel Guillamón, Hermann Suderow   +16 more
wiley   +1 more source

A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network. [PDF]

Sensors (Basel), 2019
Ortiz-Echeverri CJ, Salazar-Colores S, Rodríguez-Reséndiz J, Gómez-Loenzo RA.   +3 more
europepmc   +1 more source

A Colloidal Quantum Dot Thermistor and Bolometer

Advanced Materials, EarlyView.
This work introduces colloidal quantum dot thermistors employing a potential barrier structure to tune the activation energy of transport and hence the temperature coefficient of resistance (TCR). Upon integration with plasmonic absorbers, the CQD‐based bolometer device enables room‐temperature wavelength‐selective photodetection across the mid‐ to ...
Gaurav Kumar, Mariona Dalmases, Nima Taghipour, Rajesh Bera, Guy L. Whitworth, Goretti Torres Perez, Miguel Dosil, Gerasimos Konstantatos   +7 more
wiley   +1 more source

Evaluation of the Continuous Wavelet Transform for Detection of Single-Point Rub in Aeroderivative Gas Turbines with Accelerometers. [PDF]

Sensors (Basel), 2018
Silva A, Zarzo A, Munoz-Guijosa JM, Miniello F.   +3 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Continuous wavelet transform and higher-order spectrum: combinatory potentialities in breath sound analysis and electroencephalogram-based pain characterization. [PDF]

Philos Trans A Math Phys Eng Sci, 2018
Hadjileontiadis LJ.
europepmc   +1 more source

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

Advanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source