Category: Engineering

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  • Evaluation of mesoporous silica synthesized for green adsorption by modeling via machine learning and mass transfer

    Evaluation of mesoporous silica synthesized for green adsorption by modeling via machine learning and mass transfer

    In this section, we outline the comprehensive methodology employed for the regression analysis of a concentration dataset comprising more than 19,000 data points. The primary objective of this analysis is to model and predict the concentration…

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  • Inkjet printing of amorphous indium aluminum oxide active layers for high-performance thin-film transistors

    Inkjet printing of amorphous indium aluminum oxide active layers for high-performance thin-film transistors

  • Weimer, P. K. A p-type tellurium thin-film transistor. Proc. IEEE 52(5), 608–609 (1964).

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  • Kim, S. Y. Active matrix organic/perovskite light emitting diodes based on MoS2 thin…

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  • Robust optimization for smart demand side management in microgrids using robotic process automation and grey wolf optimization

    Robust optimization for smart demand side management in microgrids using robotic process automation and grey wolf optimization

    To validate the proposed RPA-GWO method for optimal dispatch of a microgrid, a comprehensive testing system should be designed, including a microgrid configuration with components such as PVs, WTs, a DE, and a BESS. The testing scenarios should…

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  • Enhanced residual attention-based subject-specific network (ErAS-Net): facial expression-based pain classification with multiple attention mechanisms

    Enhanced residual attention-based subject-specific network (ErAS-Net): facial expression-based pain classification with multiple attention mechanisms

    This section presents a comprehensive study of the proposed network structure that underlies the proposed pain perception methodology through facial analysis. The proposed method consists of four integrally combined components to solve pain…

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  • Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs):a seasonal approach

    Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs):a seasonal approach

    Forecasting performance evaluation

    The proposed QPSO-RNN model exhibits substantial improvements across all performance metrics when compared with both the traditional RNN and the unoptimized QPSO-RNN. Specifically, QPSO optimization of the…

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  • A mechanical model for lateral and axial impacts and quantification of effect on viability of SHSY5Y neuroblastoma cells

    A mechanical model for lateral and axial impacts and quantification of effect on viability of SHSY5Y neuroblastoma cells

    Injury mechanism and a proposed model for force quantification

    In the experiment 35 mm diameter flat bottom circular petri dish was used for cell culture. The dish is half filled with media. When an axial or lateral force is transmitted to the…

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