AI‐Driven Information and Communication Technologies, Services, and Applications for Next‐Generation Healthcare System

Ponnusamy, Vijayakumar; Vasuki, A.; Clement, Joseph; Eswaran, P.

doi:10.1002/9781119762010.ch1

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…Metaverse will function as a real-time digital environment containing all feasible entities, occurrences, activities, and interactions. Currently, trillions of dollars are being invested in Metaverse projects like AIdriven digital reality to offer a digital infrastructure that can accommodate all of its social media networks, e-commerce, and big tech oligopoly [64]. We risk creating a Matrix-like Metaverse of digitized humans and superintelligent agents as a virtual world where young people can transcend the meaningless reality of the real world in which they live.…”

Section: Figure 1 An Empirical Study Of the Internet Invasion Of The ...mentioning

confidence: 99%

AI and 6G Into the Metaverse: Fundamentals, Challenges and Future Research Trends

Zawish,

Dharejo,

Khowaja

et al. 2024

IEEE Open J. Commun. Soc.

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Since Facebook was renamed Meta, a lot of attention, debate, and exploration have intensified about what the Metaverse is, how it works, and the possible ways to exploit it. It is anticipated that Metaverse will be a continuum of rapidly emerging technologies, usecases, capabilities, and experiences that will make it up for the next evolution of the Internet. Several researchers have already surveyed the literature on artificial intelligence (AI) and wireless communications in realizing the Metaverse. However, due to the rapid emergence and continuous evolution of technologies, there is a need for a comprehensive and in-depth survey of the role of AI, 6G, and the nexus of both in realizing the immersive experiences of Metaverse. Therefore, in this survey, we first introduce the background and ongoing progress in augmented reality (AR), virtual reality (VR), mixed reality (MR) and spatial computing, followed by the technical aspects of AI and 6G. Then, we survey the role of AI in the Metaverse by reviewing the state-of-the-art in deep learning, computer vision, and Edge AI to extract the requirements of 6G in Metaverse. Next, we investigate the promising services of B5G/6G towards Metaverse, followed by identifying the role of AI in 6G networks and 6G networks for AI in support of Metaverse applications, and the need for sustainability in Metaverse. Finally, we enlist the existing and potential applications, usecases, and projects to highlight the importance of progress in the Metaverse. Moreover, in order to provide potential research directions to researchers, we underline the challenges, research gaps, and lessons learned identified from the literature review of the aforementioned technologies.

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Section: Figure 1 An Empirical Study Of the Internet Invasion Of The ...mentioning

confidence: 99%

AI and 6G Into the Metaverse: Fundamentals, Challenges and Future Research Trends

Zawish,

Dharejo,

Khowaja

et al. 2024

IEEE Open J. Commun. Soc.

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“…The article explains how banks may use AI and machine learning to overcome these obstacles and undergo a dramatic transformation to succeed in the customer experience age. Ponnusamy et al (2022) determined the development of communication technologies has had a significant impact on healthcare. With the use of communication technology, a patient may be remotely monitored in real-time to identify illness symptoms and health metrics at a reasonable cost.…”

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confidence: 99%

Revolutionizing network management with an AI-driven intrusion detection system

Vijay,

Sharma,

Khanna

2023

Multidiscip. Sci. J.

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The creation of methods and models that can learn and make predictions or judgments based on such learning is artificial intelligence (AI). By combining an AI-driven intrusion detection system (IDS) with the BAT optimization method and a Deep Convolutional Neural Network (DCNN), we provide a revolutionary strategy to the revolutionize network management. Utilizing the advantages of deep learning and BAT optimization, the goal is to increase the efficiency of intrusion detection in the network management. Here, the classification effectiveness of the DCNN is increased by using the BAT optimization strategy. The suggested framework combines a DCNN model, which is excellent in pattern data collection, pre-processing by using normalization, and prediction tasks, with the BAT Optimized with Deep Convolutional Neural Network (BATO-DCNN) method, recognized for its capacity to identify optimum solutions in the challenging search spaces. The suggested method effectively tunes the DCNN using BAT optimization, leading to the better convergence and accuracy. The results of the research show that the recommended methodology performs better than traditional approaches in terms of accuracy, precision, F1-score, and recall measures. The results of this study support the current research in the area of network security and open the door for improved network management systems.

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A knowledge graph perspective on research status, hot spots, and frontier trends of information technology education towards promoting educational policy in China

Zhao

Li²,

Liu

2023

Educ Inf Technol

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AI‐Driven Information and Communication Technologies, Services, and Applications for Next‐Generation Healthcare System

Cited by 3 publications

References 32 publications

AI and 6G Into the Metaverse: Fundamentals, Challenges and Future Research Trends

AI and 6G Into the Metaverse: Fundamentals, Challenges and Future Research Trends

Revolutionizing network management with an AI-driven intrusion detection system

A knowledge graph perspective on research status, hot spots, and frontier trends of information technology education towards promoting educational policy in China

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