To address the growing demand for real-time and high-performance signal processing, Field-Programmable Gate Array (FPGA) technology provides an influential platform for implementing Fast Fourier Transform (FFT) algorithms. The existing topologies ...

• An Eulerian scheme on quadtree meshes for solving FSI problems in 2D is presented.

A quadtree-based fully Eulerian finite volume approach for the simulation of fluid-structure interaction problems is presented. Both fluid and structure phases, which are assumed to be incompressible and viscous, are solved ...

• New biomarker for depression relapse recognition based on vocal and visual patterns.

Background: Depression (Major Depressive Disorder) is one of the most common mental illnesses. According to the World Health Organization, more than 300 million people in the world are affected. A first depressive episode can be solved ...

The Augmented (AR), Mixed (MR) and Virtual Reality (VR) technologies, here subsumed as “xR”, have matured in the last years. The research focus of this paper is to study interaction on four different xR platforms to improve medical applications in ...

Organs On a Chip (OOCs) represent a sophisticated approach for exploring biological mechanisms and developing therapeutic agents. In conjunction with high-quality time-lapse microscopy (TLM), OOCs allow for the visualization of reconstituted ...

The growth of swarm intelligence approaches and machine learning models in the field of medical image processing is extravagant, and the applicability of these approaches for various types of cancer classification has as well grown in the recent ...

During the last decade, the research on nanotechnology and wireless communications in the terahertz band supported the design of pioneering biomedical applications. To counteract the very scarce amount of energy available for nano-devices, a ...

The technology of wireless power transfer (WPT) has broad applications especially in implantable biomedical devices. Because of the limitation of the size of the receiver coil, how to lengthen the power transfer distance is crucial in biomedical ...

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• Multitask learning uses tasks commonalities to improve individual task prediction.

Multitask learning (MTL) leverages commonalities across related tasks with the aim of improving individual task performance. A key modeling choice in designing MTL models is the structure of the tasks’ relatedness, which may not be ...

The accuracy of an I/Q based biomedical impedance sensing sensor (IQBIS) suffers significantly from the PVT effects of the analog front-end, such as the amplitude errors of the stimulation signals, gain mismatches, amplitude and phase imbalances of in-...

As technology is moving towards miniature structures, demand for designing efficient compact antennas is increasing simultaneously. So it would be valuable to improve the features of small antennas, such as bandwidth and gain. A compact chip-resistor ...

Memristor has been claimed as the passive fourth fundamental circuit element in 1971. About four decades later, a physical realization which presents memristor behavior has resulted in significant interest on memristor and it is continuing to increase ...

The amount of ontologies and semantic annotations available on the Web is constantly growing. This new type of complex and heterogeneous graph-structured data raises new challenges for the data mining community. In this paper, we present a novel method ...

We describe a combination of algorithms for high-fidelity geometric modeling and mesh generation. Although our methods and implementations are application-neutral, our primary target application is multiscale biomedical models that range in scales ...

We propose a novel similarity measure, called the correntropy coefficient, sensitive to higher order moments of the signal statistics based on a similarity function called the cross-correntopy. Cross-correntropy nonlinearly maps the original time series ...

We propose a novel similarity measure, called the correntropy coefficient, sensitive to higher order moments of the signal statistics based on a similarity function called the cross-correntopy. Cross-correntropy nonlinearly maps the original time series ...