A Generalized ML-Hyers-Ulam Stability of Quadratic Fractional Integral Equation

Kaabar, Mohammed K. A.; Kalvandi, Vida; Eghbali, Nasrin; Samei, Mohammad Esmael; Siri, Zailan; Martínez, Francisco

doi:10.1515/nleng-2021-0033

Cited by 40 publications

(33 citation statements)

References 40 publications

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“…The two most important operations of CNN are convolution and pooling. The convolutional layer is also the feature extraction layer, which mainly plays a role in feature extraction of a certain part of the input image and is also a key operation of the convolutional network [25]. The process of convolution processing is divided into two parts, one part (initial image) is the input of the network, and the other part (orange area) is the convolution kernel.…”

Section: The Research Methodsmentioning

confidence: 99%

Slope Shape and Edge Intelligent Recognition Technology Based on Deep Neural Sensing Network

Huang

Yu²,

Wu³

et al. 2022

Journal of Sensors

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In order to solve the problem that the slope surface diseases cannot be accurately identified, which cannot be repaired in time and cause serious slope disasters, a slope intelligent recognition technology based on deep neural network is proposed. Based on convolutional neural network (CNN) theory, the technology adopts the transfer learning method to solve the overfitting problem of slope surface samples, which is difficult to obtain a large number of marked samples, and verifies the proposed model by experiment. The results are as follows: the recognition results of various slope surface diseases by ResNet-18 network are higher than AlexNet and VGG-16, with an average accuracy of 84.1%, and the recognition effect of cracks is the best. Under the same migration strategy, the detection accuracy of ResNet-18 is 96.3%, which is much higher than the other two, and the detection time is reduced by 15% on average. It is proved that the ResNet-18 model proposed can identify slope changes very effectively, so that workers can be timely dispatched for maintenance, reducing the possibility of disaster, which has great significance.

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Section: The Research Methodsmentioning

confidence: 99%

Slope Shape and Edge Intelligent Recognition Technology Based on Deep Neural Sensing Network

Huang

Yu²,

Wu³

et al. 2022

Journal of Sensors

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“…After UV aging, the performance of PS-MMH-3 also decreased. e reason is that part of PS is aged, but the performance degradation is low due to its strong antiaging property [23,24].…”

Section: Flame Retardant Performance Of Flame Retardant Ps Composite ...mentioning

confidence: 99%

Preparation and Sound Insulation Performance of Polystyrene Building Flame Retardant and Thermal Insulation Building Materials

Guo

2022

International Journal of Analytical Chemistry

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In this study, magnesium hydroxide (MH) was modified by sodium dodecylbenzene sulfonate (SDBS) to prepare modified magnesium hydroxide (MMH) flame retardant, which was mixed with polystyrene (PS) to obtain flame retardant PS composite plate. The micromorphology, mechanical properties, thermal stability, and flame retardancy of flame retardant PS composite plate were analyzed. The experimental results show that MMH is well dispersed in PS matrix, PS-MMH-3 has the best tensile strength and elongation at break, the limit oxygen index (LOI) is 44.3% higher than that of pure PS, and the combustion rate is slow, indicating that PS-MMH-3 has good flame retardant properties.

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“…The obtained statistical data were subjected to routine statistical analysis. Using a variety of mathematical methods and SPSS and EXCEL software systems, a database was established to conduct statistics on the data [25].…”

Section: Mathematical Statisticsmentioning

confidence: 99%

Tennis Technology Recognition and Training Attitude Analysis Based on Artificial Intelligence Sensor

2022

Journal of Sensors

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In order to solve the problem of traditional tennis serving technique teaching, subjective, and experience-based teaching methods, the author proposes a method to extract tennis training movements based on artificial intelligence sensor video analysis. This method requires the use of ordinary cameras and computer technology; video analysis technology is used to guide tennis teaching and training. The result obtained is as follows: in the experimental group and the control group, at the end of the teaching stage, the movement characteristics of each link of the body are quite different, which can reach 15%-20%; when the experimental group and the control group did the “scratching back” movement during the teaching period, at the end of teaching, the students in the experimental group were close to high-level tennis players in their movement skills, and the movement gap was only about 5%. It is proved that the method proposed by the author provides an objective and scientific basis for measuring the referee’s penalty level. In the grass-roots tennis teaching and training, it has important value and significance and has a great promotion prospect.

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A Generalized ML-Hyers-Ulam Stability of Quadratic Fractional Integral Equation

Cited by 40 publications

References 40 publications

Slope Shape and Edge Intelligent Recognition Technology Based on Deep Neural Sensing Network

Slope Shape and Edge Intelligent Recognition Technology Based on Deep Neural Sensing Network

Preparation and Sound Insulation Performance of Polystyrene Building Flame Retardant and Thermal Insulation Building Materials

Tennis Technology Recognition and Training Attitude Analysis Based on Artificial Intelligence Sensor

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