Category: Engineering

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  • Enhanced load frequency regulation in microgrids with renewable energy sources and electric vehicles

    Enhanced load frequency regulation in microgrids with renewable energy sources and electric vehicles

  • Faheem, M., Kuusniemi, H., Eltahawy, B., Bhutta, M. S. & Raza, B. A lightweight smart contracts framework for blockchain-based secure communication in smart grid applications. IET Generation Transmission Distribution. 18 (3), 625–638 (2024).

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  • Prediction of traffic accidents trend with learning methods: a case study for Batman, Turkey

    Prediction of traffic accidents trend with learning methods: a case study for Batman, Turkey

  • Tedjopurnomo, D. A. et al. A survey on modern deep neural network for traffic prediction: trends, methods and challenges. IEEE Trans. Knowl. Data Eng. 34 (4), 1544–1561 (2020).

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  • Santos, K.,…

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  • Anomaly detection in encrypted network traffic using self-supervised learning

    Anomaly detection in encrypted network traffic using self-supervised learning

    We describe and discuss the experimental results obtained using the proposed ET-SSL model on the different datasets in this section. The evaluation measures used are detection rate, precision, recall, F1 measure, false positive rate (FPR) and…

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  • Mechanisms and control of large deformation in mudstone roof gob side entry of inclined coal seams with water softening

    Mechanisms and control of large deformation in mudstone roof gob side entry of inclined coal seams with water softening

    Based on a thorough understanding of the stability of the triangular plate structure in the overlying rock, this section examines the hinge instability characteristics of the overlying rock structure following the weakening of mudstone through…

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  • A novel MCDM method for assessing student employability psychology using complex Pythagorean hesitant fuzzy Sugeno Weber aggregation

    A novel MCDM method for assessing student employability psychology using complex Pythagorean hesitant fuzzy Sugeno Weber aggregation

    When we analyze information, uncertainty, and hesitation are permanently a problem. For instance, any point is either in a set or not in a set to a defined class, as explained in the model of crisp sets. Crisp sets give a satisfactory degree…

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  • A neural network based approach for thrust prediction in cold gas propulsion systems

    A neural network based approach for thrust prediction in cold gas propulsion systems

    This paper presents a machine-learning method to predict the thrust generated by cold gas thrusters. The main focus is leveraging the FFNN to model the complex and nonlinear relationships between key operational parameters and the generated…

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