As an inorganic chemical,magnesium iodide has a significant crystalline *** is a complex and multifunctional substance that has the potential to be used in a wide range of medical *** graph theory,on the other hand,pr...
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As an inorganic chemical,magnesium iodide has a significant crystalline *** is a complex and multifunctional substance that has the potential to be used in a wide range of medical *** graph theory,on the other hand,provides a sufficient and cost-effective method of investigating chemical structures and networks.M-polynomial is a relatively new method for studying chemical networks and structures in molecular graph *** displays numerical descriptors in algebraic form and highlights molecular features in the form of a polynomial *** present a polynomials display of magnesium iodide structure and calculate several M-polynomials in this paper,particularly the M-polynomials of the augmented Zagreb index,inverse sum index,hyper Zagreb index and for the symmetric division index.
Image enhancement, particularly in low-light conditions, has long been a research focus to improve visual quality. Low-light settings often cause visibility issues and detail loss, which recent deep-learning technique...
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Information systems support to crisis response and management relies on presenting actionable information in a manner that supports cognitive processes. We outline how AI Planning can be used viably to support the del...
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We study the linear space of all two-sided generalized Fibonacci sequences {Fn}n∈Z that satisfy the order-k recurrence equation Fn = Fn−1 + Fn−2 + · · · + Fn−k. We give two types of explicit formulas, ...
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We argue that social computing and its diverse applications can contribute to the attainment of sustainable development goals (SDGs)—specifically to the SDGs concerning gender equality and empowerment of all women an...
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Automatic road anomaly detection and recognition systems are essential due to their effect on the comfort and safety of drivers and passengers. Drivers should be aware of bad road conditions and the existence of anoma...
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In today's cybersecurity landscape, protecting information systems is crucial due to the rising threat of cyber-attacks. This research focuses on vulnerability management using open-source tools for domain and sub...
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Submodular maximization has been a central topic in theoretical computer science and combinatorial optimization over the last decades. Plenty of well-performed approximation algorithms have been designed for the probl...
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As Autonomous Vehicles (AVs) become increasingly integrated into modern transportation systems, they face rising exposure to complex cybersecurity threats. Existing security frameworks, based on static rules, signatur...
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ISBN:
(数字)9798331523411
ISBN:
(纸本)9798331523428
As Autonomous Vehicles (AVs) become increasingly integrated into modern transportation systems, they face rising exposure to complex cybersecurity threats. Existing security frameworks, based on static rules, signature detection, and conventional Artificial Intelligence (AI), are insufficient in addressing the dynamic and adaptive nature of cyberattacks in AVs environment. This study presents a multi-layered defense approach powered by autonomous AI agents capable of independently detecting, interpreting, and responding to a wide range of cyber threats in real time. These agents employ Machine Learning (ML), Deep Learning (DL), anomaly detection, and adversarial resilience techniques to counter sophisticated attacks such as sensor manipulation, AI corruption, GPS spoofing, and Vehicle-to-Everything (V2X) based intrusions. The proposed architecture contributes to the advancement of intelligent, self-adjusting security mechanisms tailored for the evolving cybersecurity landscape of autonomous systems.
The customer churn, otherwise known as subscriber loss, inclusive among one of the key challenges of the telecommunication industry (TCI). Forecasting churn gives rise to telecoms step-saving retentional strategies, s...
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