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10. Education 5.0: Requirements, Enabling Technologies, and Future Directions

Author

Ahmad, Shabir, Umirzakova, Sabina, Mujtaba, Ghulam, Amin, Muhammad Sadiq, and Whangbo, Taegkeun

Subjects
Computer Science - Computers and Society
Abstract

We are currently in a post-pandemic era in which life has shifted to a digital world. This has affected many aspects of life, including education and learning. Education 5.0 refers to the fifth industrial revolution in education by leveraging digital technologies to eliminate barriers to learning, enhance learning methods, and promote overall well-being. The concept of Education 5.0 represents a new paradigm in the field of education, one that is focused on creating a learner-centric environment that leverages the latest technologies and teaching methods. This paper explores the key requirements of Education 5.0 and the enabling technologies that make it possible, including artificial intelligence, blockchain, and virtual and augmented reality. We analyze the potential impact of these technologies on the future of education, including their ability to improve personalization, increase engagement, and provide greater access to education. Additionally, we examine the challenges and ethical considerations associated with Education 5.0 and propose strategies for addressing these issues. Finally, we offer insights into future directions for the development of Education 5.0, including the need for ongoing research, collaboration, and innovation in the field. Overall, this paper provides a comprehensive overview of Education 5.0, its requirements, enabling technologies, and future directions, and highlights the potential of this new paradigm to transform education and improve learning outcomes for students.

Published
2023

14. Study of chronic myeloid leukemia with T-cell under fractal-fractional order model

Author

Shah Kamal, Ahmad Shabir, Ullah Aman, and Abdeljawad Thabet

Subjects
fractal-fractional operators, myeloid leukemia, model, adams–basforth method, Physics, QC1-999
Abstract

This research work is devoted to investigate myeloid leukemia mathematical model. We give some details about the existence of trivial and nontrivial equilibrium points and their stability. Also, local asymptotical stability of disease-free and endemic equilibrium points is discussed. Also, positivity of the solution has been discussed. Some sufficient results are achieved to study the local existence and uniqueness of solution to the considered model for Mittag–Leffler kernel using the Banach contraction theorem. Three numerical algorithms are derived in obtaining the numerical solution of suggested model under three different kernels using Adams–Basforth technique. Numerical results have been presented for different fractals and fractional orders to show the behavior of the proposed model.

Published
2024
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32. A comprehensive review on fractional-order optimal control problem and its solution

Author

Abd-Elmonem Assmaa, Banerjee Ramashis, Ahmad Shabir, Jamshed Wasim, Nisar Kottakkaran Sooppy, Eid Mohamed R., Ibrahim Rabha W., and El Din Sayed M.

Subjects
fractional order optimal control problem, two-point boundary value problem, fractional order differential equation, fractional delay differential equation, numerical methods, 26a33, 35g15, Mathematics, QA1-939
Abstract

This article presents a comprehensive literature survey on fractional-order optimal control problems. Fractional-order differential equation is extensively used nowadays to model real-world systems accurately, which exhibit fractal dimensions, memory effects, as well as chaotic behaviour. These versatile features attract engineers to concentrate more on this, and it is widely used in the broad domain of science and technology. The mentioned numerical tools take the necessary optimal conditions into account, which makes it a two-point boundary value problem of non-integer order. In this review article, some numerical approaches for the approximation have been stated for obtaining the solution to fractional optimal control problems (FOCPs). Here, few numerical approaches including Grunwald-Letnikov approximation, Adams type predictor-corrector method, generalized Euler’s method, Caputo-Fabrizio method Bernoulli and Legendre polynomials method, Legendre operational method, and Ritz’s and Jacobi’s method are treated as an advanced method to obtain the solution of FOCP. Fractional delayed optimal control is selected for our investigation. It refers to a type of control problem where the control action is delayed by a fractional amount of time. In other words, the control input at a given time depends not only on the current state of the system but also on its past state at fractional times. The fractional delayed optimal control problem is formulated as an optimization problem that seeks to minimize a cost function subject to a set of constraints that represent the dynamics of the system and the fractional delay in the control input. The solution to this problem typically involves the use of fractional polynomials types, i.e. Chebyshev and Bassel polynomials.

Published
2023
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41. Micrometer insights into Nepeta genus: Pollen micromorphology unveiled

Author

Jabeen, Shaista, Zafar, Muhammad, Ahmad, Mushtaq, Ali, M. Ajmal, Elshikh, Mohamed S., Makhkamov, Trobjon, Mamarakhimov, Oybek, Yuldashev, Akramjon, Khaydarov, Khislat, Gafforov, Yusufjon, Baysunov, Babir, Mammadova, Afat O., Botirova, Laziza, Sultana, Shazia, Majeed, Salman, Rozina, Ahmad, Shabir, Abid, Aqsa, and Rahmatov, Abdurashid

Published
2024
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