A novel approach for E-Government services with artificial intelligence using CNN

Srinivasa Reddy B. Raja, Sreenu Konda, Raghava Naidu Miriyala
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Abstract

Artificial Intelligence (AI) is a domain that works on various complex applications, such as E-government services. In order to provide government services to the people, an online AI-based Deep Learning (DL) model has been developed to check the availability of government schemes. However, several E-government services are not available to the citizens based on their usage. Many challenges have been identified while using E-Government services. This paper introduces the DL model, Convolutional Neural Networks (CNN), to solve the issues in E-Government services. The system focuses on maintaining E-government data resources, and CNN is primarily used to automate E-Government services. Finally, CNN has developed an innovative E-Government environment to support the design, development, and implementation of applications.
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一种基于CNN的人工智能电子政务服务新方法
人工智能(AI)是一个处理各种复杂应用程序(如电子政务服务)的领域。为了向人民提供政府服务,开发了一个基于人工智能的在线深度学习(DL)模型来检查政府计划的可用性。然而,从使用情况来看,一些电子政务服务并不能为公民所使用。在使用电子政务服务时发现了许多挑战。本文引入深度学习模型卷积神经网络(CNN)来解决电子政务服务中的问题。该系统主要用于维护电子政务数据资源,CNN主要用于实现电子政务服务的自动化。最后,CNN开发了一个创新的电子政务环境来支持应用程序的设计、开发和实现。
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