Results 121 to 130 of about 16,827 (243)
An improved low‐temperature synthesis enables the first comprehensive structural and spectroscopic characterisation of neutral hexacyanotrimethylenecyclopropane (CN6CP). Combined IR/Raman, UV–Vis and ssNMR analyses reveal a deeper understanding of its oxidation‐state‐dependent charge redistribution, σ‐aromaticity of the cyclopropane core, and redox ...
Jan P. Soyka +8 more
wiley +1 more source
Feature extraction of power disturbance signal using time frequency analysis [PDF]
Power Quality has been one of the great concerns recently; it due to the increasing number of loads which sensitive to the power disturbance. One of the main issues in power quality problems includes how to localize each disturbance event and recognize ...
Sihab, Norsabrina
core
Crosslinking of linear polyimines with aromatic diamines via nucleophilic addition converts nonporous polyimine precursors into aminal‐linked porous networks, offering a new strategy for synthesizing porous organic polymers. The resulting materials exhibit high C2 hydrocarbon adsorption capacity, excellent selectivity over CH4, and durable cyclic ...
Xuejie Li +4 more
wiley +1 more source
Time–frequency analysis of gustatory event related potentials (gERP) in taste disorders
In taste disorders, the key to a correct diagnosis and an adequate treatment is an objective assessment. Compared to psychophysical tests, EEG-derived gustatory event-related potentials (gERP) could be used as a less biased measure.
Hummel, Thomas +5 more
core +1 more source
Classification of Multiple Partial Discharge Sources Using Time-Frequency Analysis and Deep Learning
Partial discharge (PD) analysis is critical for diagnosing insulation degradation in high-voltage equipment. While conventional methods struggle with multi-source PD classification due to signal overlap and noise, this study proposes a hybrid approach ...
Radek Prochazka, Awad Almehdhar
core +1 more source
Robust Fractional Low Order Adaptive Linear Chirplet Transform and Its Application to Fault Analysis
Time-frequency analysis (TFA) technology is an important tool for analyzing non-Gaussian mechanical fault vibration signals. In the complex background of infinite variance process noise and Gaussian colored noise, it is difficult for traditional methods ...
Haibin Wang +3 more
core +1 more source
Polymer sequence and solvent selectivity independently modulate pendant‐vinyl accessibility during photocuring, trapping different topologies in CLIP and controlling mechanical properties. ABSTRACT Block copolymers (BCPs) offer distinct advantages for vat photopolymerization by enabling mechanically programmable network structures through microphase ...
Chia‐Min Hsieh +12 more
wiley +1 more source
Flexural Beams as Mechanical Fabry-Perot Resonators: A Theoretical Framework for Dispersive Waveguide-Based Sensing. [PDF]
Rahimi Dizadji M +4 more
europepmc +1 more source
Efficient and Accurate Handling of Periodic Flows in Time-Sensitive Networks
Total Flow Analysis (TFA) is a method for the worst-case analysis of time-sensitive networks. It uses service curve characterizations of the network nodes and arrival curves of flows at their sources; for tractability, the latter are often taken to be ...
Le Boudec, Jean-Yves +3 more
core +1 more source
A Physics-Informed Hybrid Neural Network for High-Precision Temperature Prediction in Semiconductor Process Equipment. [PDF]
Peng J +6 more
europepmc +1 more source

