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Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm by Ahmed Mohamed, Ahmed Haidar, Adila, Fakhar, Andreas, Helwig

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Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm by Esmaeili Shayan, Mostafa, Najafi, Gholamhassan, Ghobadian, Barat, Gorjian, Shiva, Rizalman, Mamat, Mohd Fairusham, Ghazali

“…To achieve zero greenhouse gas emissions, HRES Management employs 100% renewable energy sources to generate 1933 kWh per year at a net present value of −372.09 USD. …”
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A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines by Tahan, M., Muhammad, M., Abdul Karim, Z.A.

“…The results obtained showed that among the four trained networks in the multi-nets model, the associated network for gas generator rotational speed was able to track these incidents earlier. …”
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Blood cell classification using deep learning by Liaw, Mun Kin

“…The motivation was gotten from the literature review section where various researchers developed their own methods manually through experimenting such as ensemble methods, learning algorithms, combined methodologies, etc. Therefore, two ResNet models, ResNet-18 and ResNet-50 were built from scratch as the building blocks were studied and coded into the whole architecture which will run through several experiments of different configurations (batch size, learning rate, pooling layer, number of classes and number of dense layers). …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A high-performance control scheme for photovoltaic pumping system under sudden irradiance and load changes by Talbi, Billel, Krim, Fateh, Rekioua, Toufik, Mekhilef, Saad, Laib, Abdelbaset, Belaout, Abdesslam

“…An improved variable step size perturb and observe (P&O) algorithm is proposed to reduce the steady-state PV power fluctuation, to accelerate the tracking operation under sudden irradiance changes, and to protect IM under load drops. …”
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Artificial neural network for anomalies detection in distillation column by Taqvi, S.A., Tufa, L.D., Zabiri, H., Mahadzir, S., Shah Maulud, A., Uddin, F.

“…The effect of these faults on process variables i.e. changes in distillate and bottom composition, distillate and bottom temperature, bottom flow rate, and the pressure drop is observed. The network is trained using back propagation algorithm to determine root mean square error (RMSE). …”
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context by Fakhar, Adila

“…However, the use of diesel generators as a backup is costly and environmentally troublesome. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush