A Study of 5G and Edge Computing Integration with IoT- A Review

Gosain, Mohit Singh; Aggarwal, Nikhil; Kumar, Rajeev

doi:10.1109/cises58720.2023.10183438

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2024

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Cited by 17 publications

References 16 publications

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Secure transmission cryptographic approach for remote-sensing image based on discrete memristor-coupled Rulkov neuron map and TIMG

Cui,

Cao,

Jahanshahi

et al. 2024

Multimed Tools Appl

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Secure transmission cryptographic approach for remote-sensing image based on discrete memristor-coupled Rulkov neuron map and TIMG

Cui,

Cao,

Jahanshahi

et al. 2024

Multimed Tools Appl

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A Study on Green Marketing Products and Green Marketing Practices in India

Singh,

Ali,

Kumar

et al. 2024

Advances in Electronic Government, Digital Divide, and Regional Development

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In the proliferation era, purblind competition for advancements impresses a multitude of obstructions to the planet environment. Desertification, digging out precious stones and minerals, and devoiding the environment from various types of beneficial gases and particles give rise to a lot of challenges for nearby surrounding environment and lives of all creatures on the planet. An endeavor to impinge a focus on significance of nonpolluting hawking has been pursued. Moreover, how can the people be awakened about Ozone friendly vending and the temperament of consumers apropos Ozone-friendly products is also chewed over, to discriminate the hindrances falling while using ozone-friendly consumptibles.

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Enhancement of the Electronic Governance Security Infrastructure Utilizing Deep Learning Techniques

Shukla,

Tiwari

2024

Advances in Electronic Government, Digital Divide, and Regional Development

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Recent years have seen a growth in the field of artificial intelligence (AI), with deep learning (DL) approaches offering up new opportunities for cutting-edge outcomes in an increasing number of fields. The use of technology in e-government applications to improve both the systems and citizen-government interactions is still hindered by a variety of challenges. The authors explore the issues with e-government systems in this chapter and offer a paradigm for automating and streamlining e-government services. Convolutional neural networks (CNNs) and other state-of-the-art techniques, such as transfer learning and deep ensemble learning, have been used to classify problems with high accuracy. Our overall objective is to use trustworthy AI methods to improve the current state of e-government services and lower processing times, costs, and citizen enjoyment. Several instances will also be included in the chapter to demonstrate how DL techniques can be applied in practical situations.

show abstract

A Study of 5G and Edge Computing Integration with IoT- A Review

Cited by 17 publications

References 16 publications

Secure transmission cryptographic approach for remote-sensing image based on discrete memristor-coupled Rulkov neuron map and TIMG

Secure transmission cryptographic approach for remote-sensing image based on discrete memristor-coupled Rulkov neuron map and TIMG

A Study on Green Marketing Products and Green Marketing Practices in India

Enhancement of the Electronic Governance Security Infrastructure Utilizing Deep Learning Techniques

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