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Titlebook: Soft Computing: Theories and Applications; Proceedings of SoCTA Rajesh Kumar,Ajit Kumar Verma,Tanu Wadehra Conference proceedings 2024 The

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,Some Explicit Formulas for Changhee–Genocchi Polynomials and Numbers, and addition formulas for these polynomials. In addition, we derive some correlations with Stirling numbers of both kinds and Euler–Genocchi polynomials. Furthermore, we provide diverse relations for Changhee–Genocchi polynomials.
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,Numerical Simulations of Third-Order Singularly Perturbed Boundary Value Problems,boundary value problem (SpBvp) characterized by the presence of a minuscule parameter multiplying the highest-order derivative. The QTBS basis function, denoted as ., is applied at various nodal points. This approach is employed subsequent to the modification of the problem at the singularity point
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Single Smart Card for Identity and Authentication Using Data Analytics,ous domains has led to inconvenience and clutter to users. This research paper presents a promising solution for the same that reimagines the way these cards are managed with the introduction of the concept of “Authentified Smart Card,” which consolidates multiple cards into a single card using QR c
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Strategic Utilization of ChatGPT in Teaching and Learning,ilities as a virtual tutor and teaching assistant foster personalized and inclusive learning environments. By leveraging the power of NLP, ChatGPT can transform skills training in a more accessible and effective way for learners. This book chapter provides an in-depth understanding of ChatGPT‘s arch
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Particle-Based Swarm Fuzzy Optimization Approach in Vague Measurement of the Distance in Transportaen the source and destination points, overall efficiency can significantly be enhanced. This study aims to achieve distance reduction through the utilization of particle swarm fuzzy optimization (FPSO) with the combinations of fuzzy logic techniques. The paper examines the different scenarios to dem
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Divergence Models in Fuzzy Environment and Their Solicitations for the Development of Fuzzy Informand information improvement models in probabilistic as well as fuzzy environment. Each of these models is incredibly imperative from application point of view and participates a vital accountability toward optimization problems in possibility as well as fuzzy spaces. Here, we have advocated a new-fan
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