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متن کامل


عنوان: 
نویسندگان: 

اطلاعات دوره: 
  • سال: 

    1401
  • دوره: 

  • شماره: 

  • صفحات: 

    -
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    49
  • دانلود: 

    0
کلیدواژه: 
چکیده: 

شاخص‌های تعامل:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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نویسندگان: 

جاگر ج.

اطلاعات دوره: 
  • سال: 

    1395
  • دوره: 

    13
  • شماره: 

    3
  • صفحات: 

    95-111
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    986
  • دانلود: 

    0
کلیدواژه: 
چکیده: 

متن کامل این مقاله به زبان انگلیسی می باشد، لطفا برای مشاهده متن کامل مقاله به بخش انگلیسی مراجعه فرمایید.لطفا برای مشاهده متن کامل این مقاله اینجا را کلیک کنید.

شاخص‌های تعامل:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

بازدید 986

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نویسندگان: 

Sun L. | Yue Y.

اطلاعات دوره: 
  • سال: 

    621
  • دوره: 

    20
  • شماره: 

    2
  • صفحات: 

    57-67
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    7
  • دانلود: 

    0
چکیده: 

The aim of this paper is to study the completeness of L-quasi-uniform convergence spaces and L-quasi-uniform spaces. Firstly, we describe L-quasi-uniform convergence spaces as enriched categories. Then we give two kinds of completeness of L-quasi-uniform convergence spaces and show that Lawvere completeness implies Cauchy completeness. Finally, we use the Cauchy completeness of L-quasi-uniform convergence spaces to define the Cauchy completeness of L-quasi-uniform spaces, and show that Cauchy completeness is equivalent to Lawvere completeness in L-quasi-uniform spaces.

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مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
نویسندگان: 

BILALOV BILAL T. | NAZAROVA TUBU Y.

اطلاعات دوره: 
  • سال: 

    2016
  • دوره: 

    42
  • شماره: 

    4
  • صفحات: 

    975-986
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    411
  • دانلود: 

    0
چکیده: 

The concept of Fst -fundamentality is introduced in uniform spaces, generated by some filter F. Its equivalence to the concept of F-convergence in uniform spaces is proved. This convergence generalizes many kinds of convergence, including the well-known statistical convergence.

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نویسندگان: 

Ghaffari Ali | Javadi Samaneh | Tamimi Ebrahim

اطلاعات دوره: 
  • سال: 

    2020
  • دوره: 

    17
  • شماره: 

    3
  • صفحات: 

    81-91
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    31
  • دانلود: 

    0
چکیده: 

Let  $\left\{a_\alpha\right\}_{\alpha\in I}$ be a bounded net in a Banach algebra $A$ and $\varphi$ a nonzero multiplicative linear functional on $A$. In this paper, we deal with the problem of when $\|aa_\alpha-\varphi(a)a_\alpha\|\to0$ uniformly for all $a$ in weakly compact subsets of $A$. We show that Banach algebras associated to locally compact groups such  as Segal algebras and $L^1$-algebras are responsive to this concept. It is also shown that $Wap(A)$ has a left invariant $\varphi$-mean if and only if there exists a bounded net $\left\{a_\alpha\right\}_{\alpha\in I}$ in $\left\{a\in A;\ \varphi(a)=1\right\}$ such that $\|aa_\alpha-\varphi(a)a_\alpha\|_{Wap(A)}\to0$ uniformly for all $a$ in weakly compact subsets of $A$. Other results in this direction are also obtained.

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نویسندگان: 

جاگر جی.

اطلاعات دوره: 
  • سال: 

    1396
  • دوره: 

    14
  • شماره: 

    3
  • صفحات: 

    67-81
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    594
  • دانلود: 

    0
کلیدواژه: 
چکیده: 

متن کامل این مقاله به زبان انگلیسی می باشد، لطفا برای مشاهده متن کامل مقاله به بخش انگلیسی مراجعه فرمایید.لطفا برای مشاهده متن کامل این مقاله اینجا را کلیک کنید.

شاخص‌های تعامل:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

بازدید 594

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مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
اطلاعات دوره: 
  • سال: 

    2021
  • دوره: 

    7
  • شماره: 

    1
  • صفحات: 

    235-253
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    93
  • دانلود: 

    0
چکیده: 

Non-uniform grids inevitably arise in multiphase flow simulation scenarios due to the need to resolve near-wall phenomena and/or large L/D ratios associated with the reactor configuration. This in conjunction with large density ratios of the constituent phases can retard the convergence of the pressure-correction equation that results from applying operator-splitting methods to the incompressible Navier-Stokes equations. Various pre-conditioning strategies to this ill-conditioned pressurecorrection matrix are explored in this study for a class of bubbling bed simulations encompassing: different particle densities, bedheights and dimensions (2D/3D). The right-side Block Jacobi preconditioning option resulted in a 20-35% decrease in CPU time that correlated well with a decrease in the number of iterations to reach a specified tolerance.

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بازدید 93

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اطلاعات دوره: 
  • سال: 

    2025
  • دوره: 

    22
  • شماره: 

    1
  • صفحات: 

    259-282
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    5
  • دانلود: 

    0
چکیده: 

This insightful article examines the $\lambda$-statistical convergence of function sequences within neutrosophic norm spaces. It introduces novel concepts such as $\lambda$-statistical pointwise convergence and $\lambda$-statistical uniform convergence specifically tailored for neutrosophic norm spaces, representing a notable advancement in the field. The article elucidates the foundational properties of these innovative concepts, offering valuable insights into their theoretical foundations and practical applications.

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اطلاعات دوره: 
  • سال: 

    1401
  • دوره: 

    7
  • شماره: 

    2
  • صفحات: 

    279-308
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    138
  • دانلود: 

    17
چکیده: 

Purpose: The present study aims to identify and explain the futures of Iranian provinces in the competition for the development of NBIC technological convergence (synergy between nanotechnology, biotechnology, information technology and cognitive sciences) with a focus on Yazd province. Method: This research, which has been conducted with a qualitative and descriptive approach, is classified as an exploratory futures-study. In this way, the relevant research records were first reviewed to compile a list of drivers in the development of convergent technologies. The list was then refined and prioritized to identify two key drivers, with the Delphi process attended by fourteen experts. By intersecting the uncertainties of these two drivers, four scenarios of the province's future in technological convergence competition emerged. Findings: The two key drivers affecting the success of the province in the competition for convergent technologies are: the rate of development of the innovation ecosystem and the amount of financial resources allocated to this process. Based on this, four scenarios of the future situation of the province in this field were identified, which have been named as "Vanguard", "Buyer", "Remnant" and "Hired". Conclusion: In order for the provinces to be able to succeed in the forthcoming competitions in the production and operation of convergent technologies, it is necessary to plan for strengthening the ecosystem infrastructure from now; at the same time, it is necessary to make efficient efforts to provide sufficient financial resources for the research and commercialization of these technologies.

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اطلاعات دوره: 
  • سال: 

    1402
  • دوره: 

    53
  • شماره: 

    1
  • صفحات: 

    61-67
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    183
  • دانلود: 

    31
چکیده: 

Face recognition from digital images is used for surveillance and authentication in cities, organizations, and personal devices. Internet of Things (IoT)-powered face recognition systems use multiple sensors and one or more servers to process data. All sensor data from initial methods was sent to the central server for processing, raising concerns about sensitive data disclosure. The main concern was that all data from all sectors that could contain confidential information was placed in a central server. Federated learning can solve this problem by using several local model training servers for each region and a central aggregation server to form a global model in IoT networks. This article presents a novel approach to optimize data transfer and convergence time in federated learning for a face recognition task using Non-dominated Sorting Genetic Algorithm II (NSGA II). The aim of the study is to balance the trade-off between training time and model accuracy in a federated learning environment. The results demonstrate the effectiveness of the proposed approach in reducing data transfer and convergence time, leading to improved performance in face recognition accuracy. This research provides insights for researchers and practitioners to enhance the efficiency of federated learning in real-world applications.

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بازدید 183

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