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Tiantian Chen, Jiayu Sun, Ruixue Jiang, Tongfei Zhang, Yulei Zhang and Xiaochen Li
Purified red phosphorus (RP) can be used as an adsorbent. However, the adsorption mechanism and reuse ability of purified RP have not been reported. This study utilized X-ray diffraction, Fourier transform infrared spectroscopy and scanning electron micr...
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Nicholas V. Sarlis, Efthimios S. Skordas, Stavros-Richard G. Christopoulos and Panayiotis K. Varotsos
Here, we employ natural time analysis of seismicity together with non-extensive statistical mechanics aiming at shortening the occurrence time window of the Kahramanmaras-Gazientep M7.8 earthquake. The results obtained are in the positive direction point...
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Patrice Koehl and Henri Orland
A new algorithm is presented to compute nonrigid, possibly partial comparisons of shapes defined by unstructured triangulations of their surfaces. The algorithm takes as input a pair of surfaces with each surface given by a distinct and unrelated triangu...
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Patrice Koehl, Marc Delarue and Henri Orland
The Gromov-Wasserstein (GW) formalism can be seen as a generalization of the optimal transport (OT) formalism for comparing two distributions associated with different metric spaces. It is a quadratic optimization problem and solving it usually has compu...
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Hai Nguyen Tran
This Special Issue includes 12 research papers on the development of various materials for adsorbing different contaminants in water, such as Sb, Cr(VI), Cu(II), Zn(II), fluorine, phenol, dyes (indigo carmine, Congo red, methylene blue, and crystal viole...
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Sophia-Ekaterini Avgerinou, Eleni-Apostolia Anyfadi, Georgios Michas and Filippos Vallianatos
Greece is one of Europe?s most seismically active areas. Seismic activity in Greece has been characterized by a series of strong earthquakes with magnitudes up to Mw = 7.0 over the last five years. In this article we focus on these strong events, namely ...
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Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva
Optimal behind-the-meter energy management often requires a day-ahead electric load forecast capable of learning non-linear and non-stationary patterns, due to the spatial disaggregation of loads and concept drift associated with time-varying physics and...
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Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen and Fei Ma
Machine Learning (ML) and/or Deep Learning (DL) methods can be used to predict fluid flow in porous media, as a suitable replacement for classical numerical approaches. Such data-driven approaches attempt to learn mappings between finite-dimensional Eucl...
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Jeramy Lewis and Robert E. Camley
The numerical model may be modified to provide national, state, or local means of monitoring adherence to PrEP protocols, assessing disparities and access to care, and to inform public policy regarding PrEP advocacy.
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Zenab Mohamed Elgamal, Norizan Mohd Yasin, Aznul Qalid Md Sabri, Rami Sihwail, Mohammad Tubishat and Hazim Jarrah
The rapid growth in biomedical datasets has generated high dimensionality features that negatively impact machine learning classifiers. In machine learning, feature selection (FS) is an essential process for selecting the most significant features and re...
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