We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional ...

Abstract: This paper presents a new five-level T-type nested neutral point clamped (T-NNPC) converter. The proposed five-level T-NNPC topology is very attractive for medium-voltage applications as it ...

Abstract: This paper proposes a model predictive control (MPC) strategy for a nested neutral point-clamped (NNPC) converter to control output currents and voltages of flying capacitors. The NNPC ...

Currently, various applications of ultra-wideband signal-code constructions are among the most vibrant technologies, being implemented in very different fields. The purpose of this research consists ...

The brain’s ability to navigate to rewards is crucial for survival, relying on memory of paths while avoiding unpredictable threats. Our investigation, by building a biologically plausible spiking ...

The structural features of a synapse help determine its function. Synapses are extremely small and tightly packed with vesicles and other organelles. Visualizing synaptic structure requires imaging by ...

Caption: Truss structure problem, proposed by Christensen in his book. See the reference for more information. As an academic project, I developed a 2D topology optimization of a truss structure (see ...

There is increasing interest in understanding how the phase and amplitude of distinct neural oscillations might interact to support dynamic communication within the brain. In particular, previous work ...