Permeability is the key variable for reservoir characterization used for estimating the flow
patterns and volume of hydrocarbons. Modern computer advancement has highlighted the …

Neural network quantum states such as ansatz wave functions have shown a great deal of
promise for finding the ground state of spin models. Recently, work has focused on …

Digital Self-Interference Cancellation (SIC) is the key technique for enabling In-Band Full-
Duplexing (IBFD). Commonly, a nonlinear model is required to approximate the circuity …

Within the emerging area of goal-oriented communications, this paper introduces a novel
end-to-end transmission scheme dedicated to learning over a noisy channel, under the …

Complex-valued neural networks (CvNN's) continue to find their applications in various
fields. The most common applications include wireless communications, computer vision …

Complex-valued data is ubiquitous in many scientific fields. However, machine learning for
complex-valued input is still in the developmental stage. Alternatively, complex data can be …

QSAR (Quantitative Structure-Activity Relationship) demonstrating is one of the all-around
created zones in sedate improvement through computational chemistry and computational …

QSAR (Quantitative Structure-Activity Relationship) modelling is one of the well developed
areas in drug development through computational chemistry. This kind of relationship …

Radares de Abertura Sintética Polarimétricos (PolSAR) são capazes de prover imagens de
alta resolução da Terra, independentemente da luz-do-dia e sob praticamente quaisquer …

El Proyecto desarrolla un sistema de reconocimiento de figuras planas (descritas por sus
contornos) en imágenes, robusto a las transformaciones en la forma de las figuras por …