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Related papers: A Development of Hybrid Framework for E-Government

200 papers

Cloud-based enterprise resource planning (cloud ERP) systems have existed in the business market for around ten years. Cloud ERP supports enterprises' daily activities by integrating organizational back-end systems in the cloud environment.…

Computers and Society · Computer Science 2022-02-23 Xinyu Zhang

This paper presents CODECO, a federated orchestration framework for Kubernetes that addresses the limitations of cloud-centric deployment. CODECO adopts a data-compute-network co-orchestration approach to support heterogeneous…

The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation it has broadened the attack surface and made them a popular target for…

Artificial Intelligence (AI) holds promise as a technology that can be used to improve government and economic policy-making. This paper proposes a new research agenda towards this end by introducing Social Environment Design, a general…

Artificial Intelligence · Computer Science 2024-06-18 Edwin Zhang , Sadie Zhao , Tonghan Wang , Safwan Hossain , Henry Gasztowtt , Stephan Zheng , David C. Parkes , Milind Tambe , Yiling Chen

Despite the large investments in the field of e-Government (e-Gov) around the world, little is known about the impact such investment. This is due to the lack of guidance evaluation, absence of appropriate tools to measure the impact of…

Computers and Society · Computer Science 2015-09-15 Hussain Wasly , Ali AlSoufi

Edge computing has emerged as a distributed computing paradigm to overcome practical scalability limits of cloud computing. The main principle of edge computing is to leverage on computational resources outside of the cloud for performing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-07 João Leitão , Pedro Ákos Costa , Maria Cecília Gomes , Nuno Preguiça

The advancement of various research sectors such as Internet of Things (IoT), Machine Learning, Data Mining, Big Data, and Communication Technology has shed some light in transforming an urban city integrating the aforementioned techniques…

Signal Processing · Electrical Eng. & Systems 2019-05-29 Billy Pik Lik Lau , Sumudu Hasala Marakkalage , Yuren Zhou , Naveed Ul Hassan , Chau Yuen , Meng Zhang , U-Xuan Tan

Participatory citizen platforms are innovative solutions to digitally better engage citizens in policy-making and deliberative democracy in general. Although these platforms have been used also in an engineering context, thus far, there is…

Software Engineering · Computer Science 2025-04-04 Jukka Ruohonen , Kalle Hjerppe

Blockchain technology has completely revolutionized the field of decentralized finance with the emergence of a variety of cryptocurrencies and digital assets. However, widespread adoption of this technology by governments and enterprises…

Cryptography and Security · Computer Science 2025-04-29 Syed Ibrahim Omer

Smart grid technological advances present a recent class of complex interdisciplinary modeling and increasingly difficult simulation problems to solve using traditional computational methods. To simulate a smart grid requires a systemic…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-26 Sofiane Ben Amor , Guillaume Guerard , Loup-Noé Levy

Hybrid systems with both discrete and continuous dynamics are an important model for real-world cyber-physical systems. The key challenge is to ensure their correct functioning w.r.t. safety requirements. Promising techniques to ensure…

Logic in Computer Science · Computer Science 2015-05-27 Stefan Mitsch , Grant Olney Passmore , Andre Platzer

A survey on status and trends of information and communication technologies (ICT) use for knowledge sharing in agriculture was attempted. Among asian countries, India comes under the second next category after the advanced user category…

Computers and Society · Computer Science 2022-02-21 Siddhartha Paul Tiwari

In today's era of Internet of Things (IoT), where massive amounts of data are produced by IoT and other devices, edge computing has emerged as a prominent paradigm for low-latency data processing. However, applications may have diverse…

Networking and Internet Architecture · Computer Science 2021-07-19 Md Washik Al Azad , Susmit Shannigrahi , Nicholas Stergiou , Francisco R. Ortega , Spyridon Mastorakis

Enterprise Architecture (EA) help companies to keep the evolution of their IT architecture aligned with their business evolution using a set of complementary models ranging from vision to infrastructure. In this paper, we explore how such…

Software Engineering · Computer Science 2022-04-14 Christophe Ponsard

Social media platforms are increasingly being used by governments to foster user interaction. Particularly in cities with enhanced ICT infrastructures (i.e., Informational World Cities) and high internet penetration rates, social media…

Computers and Society · Computer Science 2014-03-03 Agnes Mainka , Sarah Hartmann , Wolfgang G. Stock , Isabella Peters

In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the pervasiveness of wireless connectivity while being trustworthy…

With rapid digitization and digitalization, drawing a fine line between the digital and the physical world has become nearly impossible. It has become essential more than ever to integrate all spheres of life into a single Digital Thread to…

With technological advances and the establishment of e-commerce models, business challenges have shifted to online platforms. The promise of embedding self-executing and autonomous programs into blockchain technologies has attracted…

Computers and Society · Computer Science 2022-08-03 Kamal Kishor Singh

Current network training paradigms primarily focus on either centralized or decentralized data regimes. However, in practice, data availability often exhibits a hybrid nature, where both regimes coexist. This hybrid setting presents new…

Machine Learning · Computer Science 2025-12-01 Junyi Zhu , Ruicong Yao , Taha Ceritli , Savas Ozkan , Matthew B. Blaschko , Eunchung Noh , Jeongwon Min , Cho Jung Min , Mete Ozay

The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these techniques has, in recent years, contributed to a large number…

Artificial Intelligence · Computer Science 2007-05-23 Ajith Abraham