Application of Intelligent Paradigm through Neural Networks for Numerical Solution of Multiorder Fractional Differential Equations

Khan, Naveed Ahmad; Khalaf, Osamah Ibrahim; Romero, Carlos Andrés Tavera; Sulaiman, Muhammad; Bakar, Maharani A.

doi:10.1155/2022/2710576

Cited by 41 publications

(37 citation statements)

References 54 publications

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“…The two groups were compared before and after discharge 1 Months later PedsQL TM 4.0 ScoreTwo groups of children were discharged from the hospital 1. After months, the ratings have increased, but compared to the control group, in the intervention group, the score was higher, with a significant difference between the two groups and a statistically significant P < 0.05 [ 9 – 11 ]. ; detailed data are shown in Table 5 .…”

Section: Resultsmentioning

confidence: 99%

Analysis of Rapid Rehabilitation Effect of Children with Severe Viral Encephalitis Based on Continuous Nursing of Omaha System

Chang

Zhou

et al. 2022

Journal of Healthcare Engineering

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Objective. To establish the Omaha System-based intensive care of children with viral encephalitis, compared with the conventional nursing applied in children with severe viral encephalitis for children with clinical symptoms, motor function, the incidence of complications, and the influence of quality of life, to intensive care of children with viral encephalitis way provide certain scientific basis. Methods. 62 cases of severe viral encephalitis diagnosed and treated in our hospital from X month 20XX to X month 20XX were randomly divided into 31 cases of intervention group and 31 cases of control group. The control group received routine nursing, and the intervention group added Omaha system on the basis of the control group. The recovery time of clinical symptoms and signs, FMA score, disability rate, quality of life, and satisfaction of family members were compared between the two groups. Results. The recovery time of clinical signs in the intervention group was shorter than that in the control group. Motor function was improved in both groups, but the improvement effect in intervention group was higher than that in control group. The quality of life in both groups was improved 1–3 months after discharge, but the improvement effect in the intervention group was higher than that in the control group. The incidence of physical dysfunction and behavioral abnormalities was low in the pregroup, and the difference between the two groups was statistically significant ( P < 0.05 ), but the difference between language impairment and intellectual impairment was not statistically significant ( P > 0.05 ). Conclusion. Omaha system nursing can significantly reduce the recovery time of clinical signs, improve FMA score, reduce disability rate, and improve the quality of life and family satisfaction of children with severe viral encephalitis.

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Section: Resultsmentioning

confidence: 99%

Analysis of Rapid Rehabilitation Effect of Children with Severe Viral Encephalitis Based on Continuous Nursing of Omaha System

Chang

Zhou

et al. 2022

Journal of Healthcare Engineering

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“…To this end, a method is proposed that employs a method that significantly reduces access to this index-result sharing. This new approach to result sharing is called BBAR * [22][23][24]. The real dataset used in the experiments, COLOR, is the Corell image feature dataset from the UCI machine learning library, which consists of 68,040 9-dimensional tuples depicting the features of HSV color space images [25].…”

Section: Results Sharing Basic Branch Definition Algorithmmentioning

confidence: 99%

Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing

Zhang

Peng

2022

Applied Bionics and Biomechanics

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Images are the main way for human beings to obtain and exchange information, and they play a crucial role in the process of human understanding and exploration of the world. Top- k inverse queries are widely used in real life. Currently, the most efficient algorithm for computing top- k inverse sets is the inverse top- k algorithm. Our algorithm is significantly limited when dealing with top- k inverse queries. To address these limitations, an intuitive branch-and-bound algorithm is proposed to efficiently handle top- k inverse queries, and novel optimization methods are discussed to mention its high performance. Experimental evaluation shows that the algorithm is far more efficient than the inverse top- k algorithm.

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“…As shown in Figure 5 , in the same knowledge change process, differences in learning methods will lead to different learning effects, and the learning level will gradually increase in the direction of passive, active, constructive, and interactive. Meanwhile, passive learning means acceptance, active learning means manipulation, constructive learning means generation, and interactive learning means collaboration [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

Intelligent Psychology Teaching System Based on Adaptive Neural Network

Pang¹

2022

Applied Bionics and Biomechanics

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In order to study the intelligent psychology system, this paper proposes the role of adaptive neural network based on it and uses the ICAP learning method to compare with it. Firstly, the basic structure of the neural network in the teaching system is introduced, the psychological teaching algorithm based on the adaptive neural network is introduced, the ideas are formulated, and the four learning methods and the design elements of the adaptive neural network are described. The corresponding relationship between the four learning methods and the adaptive neural network is explained. The most popular and advanced adaptive neural network module usage statistics are made. The network model on the right is more advanced than the left, and the classification accuracy is higher. The interactive learning elements used by the network model from left to right gradually increase, and the performances of the network model are gradually enhanced. Among them, the number of interactive learning elements inception modules used by the network models GoogLeNet, Inception-v2, Inception-v4, and Inception-ResNet-v2 are 9, 10, 14, and 20, respectively. Inception-v4 also employs 2 interactive learning element reduction modules. Inception-ResNet-v2 uses 2 interactive learning element reduction modules and 20 residual modules. The ICAP classification method is experimentally studied. The design of the experiment adopts passive method (P), active method (A), constructive method (C), and interactive method (I), respectively, to learn a short text in materials science. By analyzing the learning effect and comparing the data before and after the test, it can be concluded that the learning performance of the four learning methods gradually increased by 8%-10%, and the learning effect increased significantly. With the gradual increase of educational psychological learning elements in the adaptive neural network, the network learning level is continuously improved, and the classification accuracy is gradually improved.

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Application of Intelligent Paradigm through Neural Networks for Numerical Solution of Multiorder Fractional Differential Equations

Cited by 41 publications

References 54 publications

Analysis of Rapid Rehabilitation Effect of Children with Severe Viral Encephalitis Based on Continuous Nursing of Omaha System

Analysis of Rapid Rehabilitation Effect of Children with Severe Viral Encephalitis Based on Continuous Nursing of Omaha System

Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing

Intelligent Psychology Teaching System Based on Adaptive Neural Network

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Application of Intelligent Paradigm through Neural Networks for Numerical Solution of Multiorder Fractional Differential Equations

Cited by 41 publications

References 54 publications

Analysis of Rapid Rehabilitation Effect of Children with Severe Viral Encephalitis Based on Continuous Nursing of Omaha System

Analysis of Rapid Rehabilitation Effect of Children with Severe Viral Encephalitis Based on Continuous Nursing of Omaha System

Design of Branch Definition Algorithm for Top- k Inverse Queries for Image Processing

Intelligent Psychology Teaching System Based on Adaptive Neural Network

Contact Info

Product

Resources

About

Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing