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Secure dominance is a significant proportion of dominance which plays vital role in communication networks. In this article, we present and analyze an idea of the secured neutrosophic dominance and totally neutrosophic dominance number of neutrosophic graphs primarily based on strong arcs and the properties of both notions are studied. The terms 2- neutrosophic dominance number, 2- secured neutrosophic dominance variety, 2- totally neutrosophic dominance, and 2- secured neutrosophic dominance number also are defined. Some of their theoretical properties are investigated.

In this study, we examine whether mild solutions to a fractional stochastic evolution system with a fractional Caputo derivative on an infinite interval exist and are attractive. We use semigroup theory, fractional calculus, stochastic analysis, compactness methods, and the measure of noncompactness (MNC) as the foundation for our methodologies. There are several suggested sufficient requirements for the existence of mild solutions to the stated problem. Examples that highlight the key findings are provided. [ABSTRACT FROM AUTHOR]

This paper presents a hybrid approach to enhance heat transfer (HT) within a copper square duct for gas turbine (GT) blade cooling systems. The proposed method combines the gannet optimization algorithm (GOA) with the Spiking Deep Residual Network (SDRN), referred to as the GOA–SDRN technique. Since GTs operate at temperatures exceeding metal melting points, internal cooling is crucial to safeguard the blades and extend their lifespan. This study's main goal is to apply rib tubular or turbulence promoters in internal cooling turbine blades, with a focus on managing temperature and maximizing HT to enhance GT blade-cooling systems. To achieve this, the proposed method analyzes the effectiveness of ribs by employing internal rib configurations, subsequently coated with composite nanomaterials such as thermal polymer and titanium carbide powder. The study investigates turbulent flow through the square passage at various Reynolds Numbers (Re), maintains constant ambient hot air temperature, and evaluates the performance of ribs. Specifically, the flow and HT within a square channel, resembling the air-cooled turbine blade cross-section, will be examined. The effectiveness of the GOA–SDRN method will then be assessed using MATLAB and compared against existing methodologies. The proposed method outperforms existing optimization methods significantly, achieving the highest efficiency of 94%, compared to 62% for SSA, 70% for CSA, and 84% for HBO. Additionally, the proposed method exhibits the lowest cost of $35, compared to $67 for SSA, $55 for CSA, and $48 for HBO. In summary, the proposed method offers superior efficiency and cost-effectiveness, making it the preferred choice for the application. [ABSTRACT FROM AUTHOR]

AbstractThis paper proposes a hybrid ZOA-SNN technique for Heat Transfer Enhancement of the Heat Exchanger. The proposed hybrid technique is the combined performance of both the Zebra Optimization algorithm (ZOA) and Spiking Neural Network. Commonly it is named as ZOA-SNN method. The proposed method’s main goals are to control temperature and optimize heat transfer (HT). The proposed technique was analyzed using an optimization technique to get a minimal pressure drop and maximum possible heat transfer efficiency for the heat exchanger design. By then, the proposed model is executed on the MATLAB work stage and the performance is calculated using the present procedures. The pressure drop for the proposed strategy is 225 pa. The temperature rise for the proposed method is 3.5 °C. When the temperature drops by 3.5 °C, the heat transfer rate is 4.5 (L/min). Better outcomes are shown by the proposed method in all approaches like Nonprofit Organization (NPO) Obstructive Sleep Apnea (OSA), Global Outstanding Assessment (GOA). From the result, it is concluded that the proposed approach-based temperature is lower and the heat transfer is maximized in contrast to current methods. [ABSTRACT FROM AUTHOR]