Titlebook: Advances in Clean Energy and Sustainability, Volume 2; Proceedings of the 9 Sankara Sarma V. Tatiparti,Srinivas Seethamraju Conference proc

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Advances in Clean Energy and Sustainability, Volume 2Proceedings of the 9

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https://doi.org/10.1007/978-3-531-90003-2ts were conducted during daytime with temperatures ranging from 35 to 39?°C. The results indicate that placing the PCM layer closer to the heat source provides better thermal comfort. Compared to traditional materials, PCM showed minimal temperature rise in a cold water bath, demonstrating reduced t

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https://doi.org/10.1007/978-3-531-90003-2.) was determined to be 0.5, and the relative pitch (./.) was systematically defined at 10. A comprehensive series of experimental experiments was done, encompassing a wide range of Reynolds numbers, spanning from 2000 to 16,000. The primary focus of this comprehensive assessment was on key performa

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https://doi.org/10.1007/978-3-531-90003-2of time thereby enhancing the systems‘ effectiveness, adaptability, and quality. The paper proposes an effective artificial neural network (ANN)-based network to predict the output parameters of centrifugal pumps for different nose caps and operating conditions. The model is trained using a dataset

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Grundbegriffe der Wahrscheinlichkeitstheoriemposite PCM, respectively. However, future investigations are needed to exercise discretion in determining the optimal size and concentration of nanoparticles to extract the maximum benefits of the cooling rate. In addition, the incorporation of nanoparticles was found to modify the phase transition

上流社會

Induktive Logik und das Induktionsproblem been compared with four competitive algorithms, namely Gray wolf optimization (GWO), Harris hawk optimization (HHO), differential evolution (DE), and whale optimization algorithm (WOA). The best value of SSE obtained by the MTBO algorithm is 1.1698E?02. Moreover, convergence curves and box plot stu

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