In the present-day electric power system scenario, the custom of non-linear loads in power systems has ignited the investigation of power quality (PQ) problems in distribution systems like sag and swell. An effective ...
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Microgrids are growing rapidly as a potential mode of operation for Distributed Energy Resources (DER) integrated distribution systems. DER integration, along with large motor loads in industrial microgrids have raise...
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In the modern trends of communications, there is a demand for antennas that are straightforward yet effective and reasonably priced. Microstrip antennas have become popular because of their versatility, lightweight na...
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Performance modeling is a key bottleneck for analog design automation. Although machine learning-based models have advanced the state-of-the-art, they have so far suffered from huge data preparation cost, very limited...
Performance modeling is a key bottleneck for analog design automation. Although machine learning-based models have advanced the state-of-the-art, they have so far suffered from huge data preparation cost, very limited reusability, and inadequate accuracy for large circuits. We introduce ML-based macro-modeling techniques to mitigate these problems for linear analog ICs and ADC/DACs. On representative testcases, our method achieves more than 1700× speedup for data preparation and remarkably smaller model errors compared to recent ML approaches. It also attains 3600× acceleration over SPICE simulation with very small errors and reduces data preparation time for an ADC design from 40 days to 9.6 hours.
The stable mutual inductance and coefficient of coupling with lateral variation in Wireless power transfer (WPT) system is major concern. Offset between coupled coils degrade the system power transfer capability and o...
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Multilevel inverters have revolutionized the modern world due to their superior performance in industrial applications as well as research in high-power and medium-power applications. Amongst all the different multile...
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The forthcoming generations of wireless networks have a high demand for reliable and enhanced data rate transmissions which are crucial for emerging smart cities. Thus, there is a need to develop efficient Link Adapta...
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There are three types of learning methodologies for data mining algorithms: supervised, unsupervised, and semi-supervised. The algorithm in supervised learning works with a collection of instances whose labels are kno...
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Skin Cancer, particularly Melanoma, has a very high fatality rate globally, and if diagnosed at an early stage, is highly curable. However, melanoma recognition by visual inspection of dermoscopy images by clinicians ...
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Modern Power systems are designed for the fine tuning of frequency and less tolerance for system frequency deviation from nominal value. The Power System is dynamically subjected to the small perturbations of load lea...
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