A deep dive into cybersecurity solutions for AI-driven IoT-enabled smart cities in advanced communication networks

Computer Communications, Journal Year: 2024, Volume and Issue: 229, P. 108000 - 108000

Published: Nov. 12, 2024

Language: Английский

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Fuzzy Adaptive Control for Consensus Tracking in Multiagent Systems with Incommensurate Fractional-Order Dynamics: Application to Power Systems

Information Sciences, Journal Year: 2024, Volume and Issue: 689, P. 121455 - 121455

Published: Sept. 12, 2024

Language: Английский

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An improved and decentralized/distributed healthcare framework for disabled people through AI models

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 125, P. 441 - 448

Published: April 22, 2025

Language: Английский

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CCF: Cross Correcting Framework for pedestrian trajectory prediction in multi-agent traffic scenarios

Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103262 - 103262

Published: May 1, 2025

Language: Английский

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Resilience to deception attacks in consensus tracking control of incommensurate fractional-order power systems via adaptive RBF neural network

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127763 - 127763

Published: April 1, 2025

Language: Английский

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A non-singleton type-3 neuro-fuzzy fixed-time synchronizing method

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 189, P. 115671 - 115671

Published: Oct. 28, 2024

Language: Английский

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Intelligent framework of sustainable cyber-physical services for autonomous manufacturing industries

Service Oriented Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Abstract Product Service Systems (PSSs) introduce new business models for enterprises to promote tangible products along with intangible functions or services, thereby incentivising product sustainability profitability, economic stability and customer satisfaction. However, the unique characteristics of a PSS challenge obsolete development processes demand dynamic change in complex building blocks underlying design infrastructure attain high quality services. This implies need radical team structure collaboration model, organizational structure, technical process by taking complete life cycle into consideration. paper, firstly, identifies features that capabilities existing frameworks standard PSS. In response, are proposed address challenges relating actors’ involvement, technology provision, needs workflow modelling. Secondly, these combined one comprehensive collaborative methodology modifying modelling techniques. An assessment framework based on Goal-Question-Metrics approach McCall Quality Model is successfully used evaluate subsequently, developed through use-case study analysis.

Language: Английский

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Dynamic Inverse Control of Uncertain Pure Feedback Systems Based on Extended State Observer

Symmetry, Journal Year: 2024, Volume and Issue: 16(12), P. 1632 - 1632

Published: Dec. 9, 2024

A novel, precise disturbance rejection dynamic inversion control algorithm has been proposed. In the high-order surface system, an innovative approach utilizes a monotonically increasing inverse hyperbolic sine function to construct extended state observer, which estimates uncertain functions at each step. The monotonicity of simplifies system stability analysis. Additionally, being smooth function, it avoids disturbances caused by piecewise their breakpoints in conventional observer construction, thereby enhancing stability. accurate prediction capability new improves system’s performance. To address inherent differential explosion phenomenon traditional schemes, this paper ingeniously employs tracking signal as substitute for filters, thus avoiding that may occur with first-order filters. Finally, comparative simulations were conducted validate effectiveness proposed method. results show both and controller possess high-gain characteristics, closed-loop exhibits fast convergence rate.

Language: Английский

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Vehicular Network Security Through Optimized Deep Learning Model with Feature Selection Techniques

Published: Dec. 31, 2024

In recent years, vehicular ad hoc networks (VANETs) have faced growing security concerns, particularly from Denial of Service (DoS) and Distributed (DDoS) attacks. These attacks flood the network with malicious traffic, disrupting services compromising resource availability. While various techniques been proposed to address these threats, this study presents an optimized framework leveraging advanced deep-learning models for improved detection accuracy. The Intrusion Detection System (IDS) employs Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), Deep Belief (DBN) alongside robust feature selection techniques, Random Projection (RP) Principal Component Analysis (PCA). This extracts analyzes significant features using a publicly available application-layer DoS attack dataset, achieving higher accuracy than traditional methods. Experimental results indicate that combining CNN, LSTM networks, DBN like PCA in classification performance, 0.994, surpassing state-of-the-art machine learning models. novel approach enhances reliability safety vehicle communications by providing efficient, real-time threat detection. findings contribute significantly VANET security, laying foundation future advancements connected protection.

Language: Английский

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Development of AI Tool for Caries Detection from Dental Radiograph

Published: Oct. 1, 2024

Language: Английский

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