The abstract uses a hybridized fully convolutional neural network (HFCNN) to synthesize recent developments in liver cancer diagnosis. This technique improves the accuracy of liver segmentation, which is essential for...
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In this model, input data is acquired from publicly available datasets and converted into a normalized form using the Min-Max normalization approach. The Pre-processing based on normalization is employed to scale the ...
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This chapter deals with the application of deep learning models, specifically convolutional neural networks (CNNs), ResNet, VGG16, and VGG19, in the domain of eye disease detection. Early and accurate diagnosis of eye...
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作者：
Wang, BohanNew York University
Tandon School of Engineering Department of Computer Science and Engineering BrooklynNY United States
Computational Fluid Dynamics (CFD) is crucial in engineering applications such as aerospace and bioengineering, but it often require substantial computational resources. Learning-based simulation methods have the pote...
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Even though smart meters have been widely used in power systems around the world,many consumers are still finding it hard to participate in demand response(DR)due to flat-rate retail pricing *** address this issue,thi...
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Even though smart meters have been widely used in power systems around the world,many consumers are still finding it hard to participate in demand response(DR)due to flat-rate retail pricing *** address this issue,this paper proposes a coupon-based demand response(CDR)scheme to achieve equivalent dynamic retail prices to inspire consumers’inherent ***,a security-constrained unit commitment optimization model is developed in the day-ahead market to obtain coupon rewards,which are then broadcast to consumers to motivate them to reschedule their power consumption *** evaluate the adjustment value of consumers’power consumption,a collective utility function is proposed to formulate the relationship between power quantity and coupon *** this basis,the security-constrained economic dispatch model is developed in the intra-day market to reschedule generating units’output power according to real-time load demands and fluctuating renewable *** the operation interval,a settlement method is developed to quantify consumers’electricity fees and coupon benefits on a monthly *** proposed CDR scheme avoids real-time iterative bidding process and effectively decreases the difficulty of massive,small consumers participating in *** proposed CDR is implemented in a realistic DR project in China to verify consumers’energy cost and renewables’curtailment can both be decreased.
The global population is aging due to increased life expectancy and declining birth rates. As a result, there is a growing prevalence of chronic diseases such as heart disease, hypertension, and diabetes, among the ol...
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The evolution of 5G networks is driving advancements in data rates, latency reduction, and connectivity, with adaptive beamforming emerging as a core technology to enhance spectral efficiency. This study demonstrates ...
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We propose a diffraction grating structure with a tunable grating pitch using a nano-width zigzag flexure structure. By introducing a high-aspect flexure structure between the gratings, which is thin in an external fo...
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With the increase of switched reluctance motor (SRM) popularity as viable replacement for permanent magnet motor, there are still hurdles to be overcome before this type motor could fully adopted in general use. One o...
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This study will assess Decision Tree and Support Vector Machine (SVM) algorithms' ability to predict tomato quality, yield, and growth in Deep Water Culture (DWC) hydroponic farming. We evaluate multiple machine-l...
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