Smart Cities Using Artificial Intelligence (AI) and Blockchain in the Internet of Things (IoT) Era DOI
Fadi Al‐Turjman, Ramiz Salama, Gunay Sadikoğlu

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 235 - 244

Published: Jan. 1, 2024

Language: Английский

A literature review on transformative impacts of blockchain technology on manufacturing management and industrial engineering practices DOI Creative Commons
Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra

et al.

Green Technologies and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100169 - 100169

Published: Jan. 1, 2025

Language: Английский

Citations

1

Investigating the synergy of Blockchain and AI: enhancing security, efficiency, and transparency DOI
Mahd M. Alzoubi

Journal of Cyber Security Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: July 5, 2024

Integrating Blockchain and Artificial Intelligence can change business processes, promising improvements in Security, efficiency, transparency. This proposed research investigates the synergy between these two technologies, investigating how their convergence operations. AI's data analysis decision-making ability, coupled with Blockchain's Security transparent sharing, sets stage for innovative solutions across diverse sectors. The study aims to explore this integration's potential benefits challenges, emphasizing need further exploration development. By conducting a systematic literature review, will analyze current findings provide comprehensive insights into AI work together improve processes. investigation uses enhance capabilities through smart contract automation, analysis, decision-making, while offers secure framework seeks answer critical questions about improving networks' privacy using AI, systems' transparency accountability, network performance scalability. Beyond research, Author contribute integration literature, offering base future research.

Language: Английский

Citations

6

Comparative Analysis of EU-Based Cybersecurity Skills Frameworks DOI Creative Commons
Fernando Almeida

Computers & Security, Journal Year: 2025, Volume and Issue: unknown, P. 104329 - 104329

Published: Jan. 1, 2025

Language: Английский

Citations

0

Convergence of blockchain, IoT, and machine learning: exploring opportunities and challenges – a systematic review DOI Open Access
Youssef Aounzou, Abdelhak Boulaalam,

Fahd Kalloubi

et al.

International Journal on Smart Sensing and Intelligent Systems, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

Abstract With the rapid technological advancement, convergence of Internet Things (IoT), blockchain, and machine learning (ML) has a significant revolution across industries, driving them in areas like Industry 4.0, smart cities, advanced transportation systems. This study presents comprehensive review integration IoT, ML technologies, highlighting their transformative impact on diverse industries. It addresses challenges scalability, security, data management posed by growth interconnected IoT devices, proposing solutions through algorithms blockchain for security immutability. By examining real-world applications reviewing existing literature, this underscores potential benefits complexities merging these while also identifying research future directions. Overall, it offers insights into innovative constructive collaboration ML, which become most important modern advances.

Language: Английский

Citations

0

AI Integration in Public Administration DOI
Andi Asrifan,

Akbar Akbar,

Muhammad Nur

et al.

Advances in public policy and administration (APPA) book series, Journal Year: 2025, Volume and Issue: unknown, P. 95 - 122

Published: Feb. 14, 2025

This chapter examines how AI might alter public administration by improving efficiency, accessibility, and decision-making. automates ordinary jobs, freeing up servants for high-impact work. Predictive analytics improve government operations offering data-driven insights resource allocation preemptive actions in healthcare, urban planning, safety. Chatbots virtual assistants make services more accessible to different populations, especially those with linguistic or physical obstacles. The also highlights the ethical operational issues of administration. Due data privacy, security, algorithmic bias, deployment must be transparent, accountable, fair. Public entities can ethically use following governance guidelines gaining trust. emphasizes balanced establish an inclusive, efficient, citizen-centered, adaptable sector.

Language: Английский

Citations

0

The Use of Blockchain Technology and Artificial Intelligence in Cryptocurrency and Medical Technology DOI
Ranson Sifiso Gwala

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 184

Published: Feb. 21, 2025

The purpose of this research was to conduct a comprehensive review artificial intelligence and blockchain technology in advancing medical cryptocurrency. This study used desktop literature approach on the latest peer-reviewed journal articles technology. In order achieve this, can solve current AI problems offer different IoT nodes safe resource data sharing. Blockchain power marketplaces for components decentralised coordination platforms. As result, adoption reaches previously unheard-of level addresses safety concerns as well creating alternative economies currencies now known cryptocurrencies. has led growth intelligence, built capabilities address issues security, access, building new markets at an even faster scale than ever before.

Language: Английский

Citations

0

ARTIFICIAL INTELLIGENCE (AI) AND BLOCKCHAIN INTEGRATION: SYNERGIES, APPLICATIONS, AND FUTURE PROSPECTS DOI Creative Commons

Hemachandran Ravikumar,

R. Arumugam,

Pandiyarajan Pandithurai

et al.

ShodhKosh Journal of Visual and Performing Arts, Journal Year: 2025, Volume and Issue: 6(1)

Published: March 27, 2025

Two groundbreaking technologies transforming the scene of modern industry and government are blockchain artificial intelligence (AI). Blockchain provides a distributed, unchangeable, safe ledger system for data exchange transaction recording. AI, in meantime, gives robots capacity to examine data, identify trends, learn from mistakes, make independent decisions. Combining these two produces symbiotic relationship whereby guarantees trust transparency, helps cognitive processing dynamic automation. Their combined potential is investigated this work using Blockchain-as-a-Service (BaaS), Blockchain-as-a-Cloud (BaaC), AI-enhanced smart contracts, distributed autonomous systems. We evaluate present tools, investigate practical uses, handle issues including scalability, computational expenses, regulatory issues. These great assets sectors banking, supply chain, healthcare, since their combination shows an accuracy over 90% important uses.

Language: Английский

Citations

0

Building the Smart City of Tomorrow: A Bibliometric Analysis of Artificial Intelligence in Urbanization DOI Creative Commons
Erik Karger,

Aristide Rothweiler,

Tim Brée

et al.

Urban Science, Journal Year: 2025, Volume and Issue: 9(4), P. 132 - 132

Published: April 17, 2025

Urbanization is a global trend that continues to grow, leading an increasing number of people live in cities. This rapid expansion creates challenges such as traffic congestion, environmental pollution, and the need ensure high living standards for all residents. To address these challenges, many cities adopt digital technologies become smarter, more efficient, sustainable. Among technologies, artificial intelligence (AI) has gained significant attention recent years due its transformative potential. In context smart cities, AI offers innovative solutions across various domains, including mobility, waste management, energy optimization. Due multidisciplinary nature advancements, research on grown significantly. A comprehensive approach needed understand role urban transformation identify key gaps. paper aims synthesize existing knowledge providing valuable insights both researchers practitioners. We define scope AI-related by analyzing scientific literature offer three main contributions. First, we provide holistic overview field conducting bibliometric analysis map status structure knowledge. Second, major themes through co-citation clustering. Third, outline future agenda most influential journal articles. Our findings have theoretical practical implications wide range disciplines, computer science, energy, transportation, security. Furthermore, our results can facilitate collaboration identifying institutions, highlight critical gaps, foster discussions benefits AI-driven city solutions.

Language: Английский

Citations

0

Regulatory Framework and Standards for Sustainable IoT, Fog, Computing, and Blockchain DOI

Abuh Ibrahim Sani

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 321 - 352

Published: April 4, 2025

The rapid expansion of the Internet Things (IoT), fog computing, and blockchain technology has revolutionized various industries, heralding an era interconnected devices, decentralized computation, secure transactions. However, development also presents significant challenges related to sustainability, security, privacy, regulatory compliance. Addressing these difficulties necessitates establishment robust laws guidelines ensure that technologies develop in environmentally sustainable manner adhere societal legal standards. This chapter addresses standards landscape intends foster long-term technologies.

Language: Английский

Citations

0

Revolutionizing energy payments: The role of fintech in streamlining transactions DOI Creative Commons

Syed Tanveer Alam

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(2), P. 2074 - 2083

Published: May 30, 2024

In today's rapidly evolving financial landscape, technology (FinTech) is playing a pivotal role in transforming the way energy payments are processed and managed. This review delves into ways which FinTech revolutionizing traditional payment practices, enhancing efficiency, security, transparency of processes, accessibility for both consumers businesses, as well streamlining transactions. By examining integration solutions with systems, this paper explores how technologies like blockchain, artificial intelligence, smart contracts, digital wallets, mobile applications transactions, reducing costs, improving overall user experiences. leveraging these technologies, companies industry can streamline mitigate fraud, improve customer experience. The paving more secure, convenient, interconnected ecosystem that reshaping transactions conducted. impacts experiences through platforms real-time It also highlights FinTech's potential to drive innovation services promote sustainability. Regulatory considerations, collaboration opportunities, future trends discussed. rise new banking models neobanks collaborative relationships between banks startups examined. Overall, offers valuable insights transformative shaping sector

Language: Английский

Citations

1