Abstract: Deep learning has been successfully applied to solve the synthetic aperture radar (SAR) imaging problem which shows superior imaging performance to compressive sensing (CS)-based methods ...

January 08, 2007 -- powermanagementdesignline.com This is a two-part article focusing on power minimization in deep submicron ASICs. Part 1 list five of the ten and is dedicated to technology ...

We model the transmit-receive design problem as a jointly constrained optimization problem, aiming to minimize the waveform sidelobes, ISRJ energy, and mutual interference among various ... we propose ...

Rigorous treatments based on physical effective energy functions involve computationally expensive methods such as free energy perturbation, which are time–consuming and are thus incompatible ...

Significant Advancement Made in Engineering Biology and Clean Energy Dec. 17, 2024 — Engineers have reported a significant advancement in engineering biology and clean energy. A team of ...

Non-Commercial (NC): Only non-commercial uses of the work are permitted. Two-dimensional lead-halide perovskites provide a more robust alternative to three-dimensional perovskites in solar energy and ...

In this special Spotlight interview, Jessica Casey, Editor, sits down with Chet Benham, President & COO of Viridi Energy, to look into Viridi’s business, including its focus on renewable natural gas ...

Because of our incomplete knowledge of nuclear forces and of the fact that the nucleus is a self-bound system, the implementation of DFT in nuclei is slightly different from other systems such as ...

a decision President-elect Donald Trump, who has vowed to boost domestic energy production, may find difficult to reverse.

As the global economy moves toward renewable energy but continues to use fossil fuels heavily, energy investors may want to consider straddling both worlds to ride the energy transition.