Results 81 to 90 of about 5,207,763 (284)

Molecular Rectification: Mechanisms, Modulation Strategies, and Device Realization

Advanced Science, EarlyView.
This review focuses on molecular rectification, from its fundamental mechanisms and modulation strategies to device realization. It summarizes the theoretical framework, modulation strategies, fabrication techniques, characterization methods, and modeling and simulation of molecular rectifiers, while discussing challenges and future directions for ...
Junnan Guo, Shufan Song, Wenhui Fang, Jifeng Tang, Wenhao Li, Weikang Wu, Shishen Yan, Hui Li, Lishu Zhang   +8 more
wiley   +1 more source

Bird Call Identification Using Ensemble Empirical Mode Decomposition

Shock and Vibration
Birds are iconic species of the environment. Bird monitoring can be achieved by collecting recordings of the calls of wild birds and later identifying the species. A new approach suggested in this study involves the application of ensemble empirical mode
Jingxuan Liu, Hailan Chen
doaj   +1 more source

Quantification of Dynamic Properties of Pile Using Ensemble Empirical Mode Decomposition

Advances in Civil Engineering, 2018
This paper investigated dynamical interactions between pile and frozen ground by using the ensemble empirical mode decomposition (EEMD) method. Unlike the conventional empirical mode decomposition (EMD) method, EEMD is found to be able to separate the ...
Feng Xiao, Gang S. Chen, Wael Zatar, J. Leroy Hulsey   +3 more
doaj   +1 more source

Using Empirical Mode Decomposition to Estimate Amplitudes in Noisy Data. [PDF]

Empirical Mode Decomposition, an adaptive data-driven technique which can be used to extract non-stationary signals buried in noise, seldom admits theoretical calculation of the statistical properties of the extracted signals.
Claire Blackman
core  

Optical Access to Dark Excitons Via Spin–Phonon Fano Interference

Advanced Science, EarlyView.
Dark excitons in quantum dots neither absorb nor emit light and stay hidden from optical spectroscopy. Quantum interference now reveals them: light scattered by acoustic phonons interferes with a phonon‐assisted spin flip between bright and dark exciton, carving a Fano dip into the spectrum whose position gives the bright–dark splitting. Magnetic field,
Janina J. Schindler, Katja Barthelmi, Mikhail M. Glazov, Carlo Sgroi, Sven Scholz, Arne Ludwig, Andreas D. Wieck, Jörg Debus   +7 more
wiley   +1 more source

Accounting for nonstationarity in the condition monitoring of wind turbine gearboxes [PDF]

, 2013
Increasing growth of wind turbine systems suggests a more systematic research around their design, operation and maintenance is needed. These systems operate under challenging enviromental conditions and failure of some of their parts, for the time being,
Antoniadou, Ifigeneia
core   +4 more sources

How Predictable are Temperature-series Undergoing Noise-controlled Dynamics in the Mediterranean [PDF]

, 2011
Mediterranean is thought to be sensitive to global climate change, but its future interdecadal variability is uncertain for many climate models. A study was made of the variability of the winter temperature over the Mediterranean Sub-regional Area (MSA),
Nazzareno Diodato, Bellocchi, Gianni, Diadato, Nazzareno, Gianni Bellocchi   +3 more
core   +1 more source

A Compact and Fast Single‐Spike TTFS Encoder With Ultralow Operating Voltage for Efficient Neuromorphic Fourier Transform

Advanced Science, EarlyView.
A Pt/TaOx/V single‐spike TTFS encoder achieves ultralow‐voltage (∼0.35 V), high‐speed (∼100 ns) operation with simplified circuitry. Integrating bipolar nonuniform temporal encoding with a spiking‐DFT neuron model enables a neuromorphic FFT framework. Device‐calibrated simulations demonstrate high spectral fidelity across multitone, speech, and chirp ...
Yang Wu, Qi Wei, Junfeng Zhang, Lirou Su, Ning Mao, Beibei Huang, Jiaying Chen, Dian Huang, Shengzhong Feng, Yishu Zhang, Shuai Zhong   +10 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

, 2019
Soil moisture forecasts are vital for environmental monitoring, the health of ecological systems, hydrology, agriculture and understanding the soil characteristics. In this study, we design a new multivariate sequential predictive model that utilizes the
Deo, Ravinesh C., Prasad, Ramendra, Li, Yan, Maraseni, Tek   +3 more
core   +1 more source