CHEMICAL IDENTIFICATION IN THE SPECULAR AND OFF-SPECULAR ROUGH-SURFACE SCATTERED TERAHERTZ SPECTRA USING WAVELET SHRINKAGE

Chemical Identification in the Specular and Off-Specular Rough-Surface Scattered Terahertz Spectra Using Wavelet Shrinkage

We present the development and implementation of a novel wavelet shrinkage technique for the retrieval of obscured characteristic resonant signatures in the scattered terahertz (THz) reflectivity of molecular crystals.In this implementation, the wavelet basis functions associated with the absorption features IC Hardware were identified using the se

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Ethical Anguish, Ethical Conflict and Ethical Choice: An Exploration of Futon from the Perspective of Ethical Literary Criticism

The transcendence of society and ethical dimension are often embodied in the Japanese I-Novel.The writers of the I-Novel are not outside society, actually their social care permeates their literary works in which the characters possess a strong ethical awareness within a deep, dignified, and sentimental ethical narrative wri ting strategy.Futon, an

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Tide-surge interaction in the English Channel

The English Channel is characterised by strong tidal currents and a wide tidal range, such that their influence on surges is expected to be non-negligible.In order to better assess storm surges Peeler in this zone, tide-surge interactions are investigated.A preliminary data analysis on hourly surges indicates some preferential times of occurrence o

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Collateral Damage

The coronavirus disease-2019 (COVID-19) pandemic has Countertop Microwave caused an enormous strain on healthcare systems and society on a global scale.We report a new phenomenon of medical care avoidance among patients with acute coronary syndrome, which is due to concerns about contracting severe acute respiratory syndrome-coronavirus-2 (SARS-CoV

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An Xgboost based system for financial fraud detection

Credit card fraud leads to billions of Aftermarket Suspension losses in online transaction.Many corporations like Alibaba, Amazon and Paypal invest billions of dollars to build a safe transaction system.There are some studies in this area having tried to use machine learning or data mining to solve these problems.This paper proposed our fraud detec

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