Intelligent Optical Network with AI and Blockchain

Rahim

IEEE Trans. Intell. Transport. Syst.

et al. 2022

The dependency on vehicles is increasing tremendously due to its excellent transport capacity, fast, effcient, fexible, pleasant journey, minimal physical effort, and substantial economic impact. As a result, the demand for smart and intelligent feature enhancement is growing and becoming a prime concern for maximum productivity based on the current perspective. In this case, the Internet of Everything (IoE) is an emerging concept that can play an essential role in the automotive industry by integrating the stakeholders, process, data, and things via networked connections. But the unavailability of intelligent features leads to negligence about proper maintenance of vehicle vulnerable parts, reckless driving and severe accident, lack of instructive driving, and improper decision, which incurred extra expenses for maintenance besides hindering national economic growth. For this, we proposed a conceptual framework for a central VHMS exploiting IoE-driven Multi-Layer Heterogeneous Networks (HetNet) and a machine learning technique to oversee individual vehicle health conditions, notify the respective ownerdriver real-timely and store the information for further necessary action. This article transparently portrayed an overview of central VHMS and proposed the taxonomy to achieve such an objective. Subsequently, we unveiled the framework for central VHMS, IoE-driven Multi-tire HetNet, with a secure and trustworthy data collection and analytics system. Finally, anticipating this proposition's outcome is immense in the automotive sector. It may motivate the researcher to develop a central intelligent and secure vehicular condition diagnostic system to move this sector towards Industry 4.0.

Section: A Intelligence Concept For Vhmsmentioning

confidence: 99%

A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics

Rahim

IEEE Trans. Intell. Transport. Syst.

et al. 2022

“…While AI can enhance the accessibility of blockchain platforms, blockchains' decentralized layout ensures transmission stability of data security. When evaluating the efficiency of optical network propagation, accessibility and credibility are the two key factors (Yang et al, 2019). In line with the advancement of AI, deep learning with neural networks significantly learns and produces accurate information without human intervention.…”

Section: Introductionmentioning

confidence: 99%

The Ebb of Fiat and the Flow of Cryptocurrency

Castro¹

2022

Preprint

“…And that, based on the previous face detection study, we established an automated face detection method. [5][6][7][8].…”

mentioning

confidence: 99%

Converging Blockchain and AI technology-based Automated and Decentralized (A&D) Trust Management System using Face Detection

Balasubramaniam¹,

Sagadevan²

2021

IRJASH

Face detection systems are growing exponentially. Newly emerged technologies are also being involved in the management applications. But they had failed to compensate at least anyone of the essential aspects of the system such as scalability, security, personalization, etc. This paper presents a fundamental platform that provides the ways and techniques to intelligently use the integration of Artificial Intelligence and Blockchain in which AI is used to detect and recognize the face and Blockchain maintains the tamperproof records. This convergence will provide a tamper-proof and rapidly working A&D access management system for a trust management system that can be used for attendance in an organization & for many other purposes.