Variable step‐size implementation of sixth‐order Numerov‐type methods

Medvedeva, Marina A.; Simos, Theodore E.; Tsitouras, Charalampos

doi:10.1002/mma.5929

Cited by 21 publications

(4 citation statements)

References 55 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Secondly, the learning relationship is not mutually exclusive because it allows multiple channel features instead of one hot form. Based on the criteria, there is the equation [25,26].…”

Section: Feature Mapmentioning

confidence: 99%

[Retracted] Research on Efficient Deep Learning Algorithm Based on ShuffleGhost in the Field of Virtual Reality

Huang

Zhang

Chen

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Deep learning algorithms are facing the limitation in virtual reality application due to the cost of memory, computation, and real-time computation problem. Models with rigorous performance might suffer from enormous parameters and large-scale structure, and it would be hard to replant them onto embedded devices. In this paper, with the inspiration of GhostNet, we proposed an efficient structure ShuffleGhost to make use of the redundancy in feature maps to alleviate the cost of computations, as well as tackling some drawbacks of GhostNet. Since GhostNet suffers from high computation of convolution in Ghost module and shortcut, the restriction of downsampling would make it more difficult to apply Ghost module and Ghost bottleneck to other backbone. This paper proposes three new kinds of ShuffleGhost structure to tackle the drawbacks of GhostNet. The ShuffleGhost module and ShuffleGhost bottlenecks are utilized by the shuffle layer and group convolution from ShuffleNet, and they are designed to redistribute the feature maps concatenated from Ghost Feature Map and Primary Feature Map. Besides, they eliminate the gap of them and extract the features. Then, SENet layer is adopted to reduce the computation cost of group convolution, as well as evaluating the importance of the feature maps which concatenated from Ghost Feature Maps and Primary Feature Maps and giving proper weights for the feature maps. This paper conducted some experiments and proved that the ShuffleGhostV3 has smaller trainable parameters and FLOPs with the ensurance of accuracy. And with proper design, it could be more efficient in both GPU and CPU side.

show abstract

“…Secondly, the learning relationship is not mutually exclusive because it allows multiple channel features instead of one hot form. Based on the criteria, there is the equation [25,26].…”

Section: Feature Mapmentioning

confidence: 99%

[Retracted] Research on Efficient Deep Learning Algorithm Based on ShuffleGhost in the Field of Virtual Reality

Huang

Zhang

Chen

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Among them, L b represents the test length of the waterproof material when it breaks, and L 0 represents the length of the initial waterproof material. The components of the foundation pit of the railway logistics center are combined with each other, the waterproof material produces a certain amount of extrusion [27,28], the waterproof material is uniformly loaded with a force of 2400 N, and the compressive…”

Section: Reinforcement Mechanism Of Pile Yard Foundation Of Railway L...mentioning

confidence: 99%

Foundation Reinforcement Method of Railway Logistics Center Station Based on Deformation Control and Thermodynamics

Peng

Liu

Zhao³

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In view of the existing methods of foundation reinforcement considering the deformation of the site and the poor effect of the foundation reinforcement, a method of the foundation reinforcement of a railway logistics center station based on deformation control and thermodynamics is proposed. The basic principle of thermodynamics is introduced, and the influence of temperature on the soil properties of foundation is analyzed. Based on the analysis of the engineering geology and hydrogeological conditions of the site, the deformation of the site is calculated, the bearing capacity of the surrounding environment of the foundation pit to the additional deformation is analyzed, and the reinforcement mechanism of the yard foundation in the railway logistics center is proposed to realize the reinforcement of the yard foundation. The experimental results show that this method can use the least tamping pit filler under the same conditions, with a minimum of 7.34 m3 to realize foundation reinforcement, the maximum ground settlement is only 5.98 mm, and the maximum lateral displacement of pile top is only 6 mm, which can meet the actual requirements and has high practical value.

show abstract

“…Many of the simplifications of the past-for example, that in a given decision only the minimum or maximum cost or benefit is essential-are not acceptable today, and it is necessary to confront the actual situation as much as possible with the methods and utilize more progressive approaches [98,99]. ese methods take a more comprehensive look at issues such as the multiplicity of futures, the multiplicity of goals, the changing attitudes towards risk, and, most importantly, the inevitable balances [100,101]. Fuzzy sets (FS) were developed by the mathematician Lotfi Zadeh [95] to deal with real-life decisions that are complicated due to the inherent uncertainty.…”

Section: Hesitant Fuzzy Setmentioning

confidence: 99%

Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project

Bagheri

Borouji

Razavian

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Presently, environmental management for companies emphasizing environmental protection has become one of the most critical issues for customers, shareholders, governments, employees, competitors, and global pressures requiring organizations to produce environmentally-friendly products and services. This challenge has created a new concept called green supply chain management in business, which combines environmental thinking with the supply chain. Selection of suppliers by considering risk criteria is a category that has attracted the attention of a large number of researchers in order to select the best suppliers according to uncertain factors. In this research, we aim to select a green supplier considering risk factors using a new MCDM approach under uncertainty. For this selection problem, HF-MAIRCA, a new multicriteria sorting method for many alternatives, has been developed. This is used for sorting the alternatives into predefined, ordered supplier categories. This sorting method can be applied to different environmental problems that have a large number of alternatives. As a result of Iran’s case study, the result shows that materials flexibility and materials quality are essential criteria for green supplier selection.

show abstract

Variable step‐size implementation of sixth‐order Numerov‐type methods

Cited by 21 publications

References 55 publications

[Retracted] Research on Efficient Deep Learning Algorithm Based on ShuffleGhost in the Field of Virtual Reality

[Retracted] Research on Efficient Deep Learning Algorithm Based on ShuffleGhost in the Field of Virtual Reality

Foundation Reinforcement Method of Railway Logistics Center Station Based on Deformation Control and Thermodynamics

Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project

Contact Info

Product

Resources

About