The quality of the airwe breathe during the courses of our daily lives has a significant impact on our health and well-being as ***,personal air quality measurement remains *** this study,we investigate the use of fir...
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The quality of the airwe breathe during the courses of our daily lives has a significant impact on our health and well-being as ***,personal air quality measurement remains *** this study,we investigate the use of first-person photos for the prediction of air *** main idea is to harness the power of a generalized stacking approach and the importance of haze features extracted from first-person images to create an efficient new stacking model called AirStackNet for air pollution *** consists of two layers and four regression models,where the first layer generates meta-data fromLight Gradient Boosting Machine(Light-GBM),Extreme Gradient Boosting Regression(XGBoost)and CatBoost Regression(CatBoost),whereas the second layer computes the final prediction from the meta-data of the first layer using Extra Tree Regression(ET).The performance of the proposed AirStackNet model is validated using public Personal Air Quality Dataset(PAQD).Our experiments are evaluated using Mean Absolute Error(MAE),Root Mean Square Error(RMSE),Coefficient of Determination(R2),Mean Squared Error(MSE),Root Mean Squared Logarithmic Error(RMSLE),and Mean Absolute Percentage Error(MAPE).Experimental Results indicate that the proposed AirStackNet model not only can effectively improve air pollution prediction performance by overcoming the Bias-Variance tradeoff,but also outperforms baseline and state of the art models.
This paper presents a software-defined 1TX/2RX frequency-division duplex (FDD) transceiver front-end that allows simultaneous transmit-and-receive operation in close proximity wireless channels using frequency-selecti...
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This paper introduces a fault-tolerant strategy designed for Cascaded H-Bridge multilevel inverters (CHMI), enhancing reliability through a discontinuous modulation method under open-switch failures. The inverter comp...
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We propose the lattice design that allows multiple topologically protected edge modes. The scattering between these modes, which is linear, energy preserving, and robust against local disorders, is discussed in terms ...
Color perception has long remained an in-triguing topic spanning vision and cognitive science, signal processing, and computer graphics. People are often classified as either 'color-normal' or 'color-blind...
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This research examines the role of public bicycle systems in reducing carbon emissions, which significantly contribute to global warming. Centered in Seoul, South Korea-a city with some of the highest carbon dioxide e...
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The low-frequency stability of grid-connected virtual synchronous generators (VSGs) can be degraded if power controller parameters are not properly tuned under high active power transfer and strong grid conditions. Th...
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The virtual synchronous generator (VSG) is an attractive grid-forming technique that emulates the swing equation of conventional synchronous generators, and can compensate for the power grid's weakened inertia and...
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Inverter-based renewable energy resources, as a critical response to the net-zero energy transition, have been displacing conventional synchronous generation. However, this displacement has increased the grid's vu...
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Increasing the permissible operating speed of permanent magnet electric machines (PMSM) presents a range of intrinsic benefits. This however also raises a myriad of challenges associated with high-speed operation, inc...
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