Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104985 - 104985

Published: Oct. 5, 2023

Language: Английский

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Deepfake detection using deep learning methods: A systematic and comprehensive review

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Journal Year: 2023, Volume and Issue: 14(2)

Published: Nov. 20, 2023

Abstract Deep Learning (DL) has been effectively utilized in various complicated challenges healthcare, industry, and academia for purposes, including thyroid diagnosis, lung nodule recognition, computer vision, large data analytics, human‐level control. Nevertheless, developments digital technology have used to produce software that poses a threat democracy, national security, confidentiality. Deepfake is one of those DL‐powered apps lately surfaced. So, deepfake systems can create fake images primarily by replacement scenes or images, movies, sounds humans cannot tell apart from real ones. Various technologies brought the capacity change synthetic speech, image, video our fingers. Furthermore, image frauds are now so convincing it hard distinguish between false authentic content with naked eye. It might result issues ranging deceiving public opinion using doctored evidence court. For such considerations, critical assist us discerning reality. This study gives complete assessment literature on detection strategies DL‐based algorithms. We categorize methods this work based their applications, which include detection, audio hybrid multimedia detection. The objective paper give reader better knowledge (1) how deepfakes generated identified, (2) latest breakthroughs realm, (3) weaknesses existing security methods, (4) areas requiring more investigation consideration. results suggest Conventional Neural Networks (CNN) methodology most often employed DL method publications. According research, majority articles subject focused enhancing only parameter, accuracy parameter receiving attention. article categorized under: Technologies > Machine Algorithmic Development Multimedia Application Areas Science Technology

Language: Английский

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Big Data Management Algorithms, Deep Learning-Based Object Detection Technologies, and Geospatial Simulation and Sensor Fusion Tools in the Internet of Robotic Things

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(2), P. 35 - 35

Published: Jan. 21, 2023

The objective of this systematic review was to analyze the recently published literature on Internet Robotic Things (IoRT) and integrate insights it articulates big data management algorithms, deep learning-based object detection technologies, geospatial simulation sensor fusion tools. research problems were whether computer vision techniques, mining, simulation-based digital twins, real-time monitoring technology optimize remote sensing robots. Preferred Reporting Items for Systematic Reviews Meta-analysis (PRISMA) guidelines leveraged by a Shiny app obtain flow diagram comprising evidence-based collected managed (the search results screening procedures). Throughout January July 2022, quantitative ProQuest, Scopus, Web Science databases performed, with terms “Internet Things” + “big algorithms”, “deep technologies”, “geospatial tools”. As analyzed between 2017 only 379 sources fulfilled eligibility standards. A total 105, chiefly empirical, have been selected after removing full-text papers that out scope, did not sufficient details, or had limited rigor For quality evaluation so as attain sound outcomes correlations, we deployed AMSTAR (Assessing Methodological Quality Reviews), AXIS (Appraisal tool Cross-Sectional Studies), MMAT (Mixed Methods Appraisal Tool), ROBIS (to assess bias risk in reviews). Dimensions regards initial bibliometric mapping (data visualization) VOSviewer harnessed layout algorithms.

Language: Английский

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Technological Modernizations in the Industry 5.0 Era: A Descriptive Analysis and Future Research Directions

Processes, Journal Year: 2023, Volume and Issue: 11(5), P. 1318 - 1318

Published: April 24, 2023

Unexpected instances have posed challenges to production lines over the last few years. The latest COVID-19 global epidemic is one notable example. In addition its social impact, virus has destroyed traditional industrial system. Industry 4.0 requires adapting changing prerequisites with adaptability. However, next movement, 5.0, emerged in recent 5.0 takes a more coordinated approach than 4.0, increased collaboration among humans and machines. With human-centered strategy, improves for greater sustainability resilience. concept of interconnection via cyber-physical systems. also associated systems enabled by discusses relationship between “man machine,” called robots or cobots. This paper industry possibilities, restrictions, future analysis potentials. new paradigm change that tends bring negotiated settlement because it places less prominence on technology assumes possibilities advancement are predicated aims examine potential implementations 5.0. Once current progress problem were discovered, previous research investigated topic was reviewed, limitations found, systematic procedure developed. classifications sophisticated required this revolution first subjects discussion. There additional discussion application domains such as healthcare, supply chain, growth, cloud production, so on. included problems understand better issues caused organizations some robotic individuals lines.

Language: Английский

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Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service

Artificial Intelligence in Medicine, Journal Year: 2024, Volume and Issue: 149, P. 102779 - 102779

Published: Jan. 24, 2024

Language: Английский

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Networking Architectures and Protocols for IoT Applications in Smart Cities: Recent Developments and Perspectives

Electronics, Journal Year: 2023, Volume and Issue: 12(11), P. 2490 - 2490

Published: May 31, 2023

Numerous municipalities employ the smart city model in large cities to improve quality of life their residents, utilize local resources efficiently, and save operating expenses. This incorporates many heterogeneous technologies such as Cyber-Physical Systems (CPS), Wireless Sensor Networks (WSNs), Cloud Computing (ClCom). However, effective networking communication protocols are required provide essential harmonization control system mechanisms achieve these crucial goals. The requirements characteristics applications (SCAs) identified this study, well that can be utilized serve diverse data traffic flows between dissimilar mechanisms. Additionally, we show examples designs a few systems, transport, building, home, grid, water, pipeline monitoring, systems.

Language: Английский

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Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions

Internet of Things, Journal Year: 2023, Volume and Issue: 23, P. 100860 - 100860

Published: June 26, 2023

Blockchain-based drug supply management (DSM) requires powerful security and privacy procedures for high-level authentication, interoperability, medical record sharing. Researchers have shown a surprising interest in Internet of Things (IoT)-based smart cities recent years. By providing variety intelligent applications, such as transportation, industry 4.0, financing, (SC) can improve the quality life their residents. Blockchain technology (BCT) allow SC to offer higher standard by keeping track transactions an immutable, secure, decentralized, transparent distributed ledger. The goal this study is systematically explore current state research surrounding cutting-edge technologies, particularly deployment BCT IoT DSM SC. In study, defined keywords "blockchain", "IoT", management", "healthcare", "smart cities" well variations were used conduct systematic search all relevant articles that collected from several databases Science Direct, JStor, Taylor & Francis, Sage, Emerald insight, IEEE, INFORMS, MDPI, ACM, Web Science, Google Scholar. final collection papers on use organized into three categories. first category contains about development design applications incorporate IoT, new architecture, system designs, frameworks, models, algorithms. Studies investigated make up second research. third comprised review regarding incorporation SC-based applications. Furthermore, paper identifies various motives using SC, open problems makes recommendations. contributes existing body knowledge offering complete potential alternatives finding areas where further needed. As consequence this, researchers are presented with intriguing create decentralized apps result comprehensive discussion relevance its implementation.

Language: Английский

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A survey-based approach of framework development for improving the application of internet of things in the construction industry of Malaysia

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101823 - 101823

Published: Jan. 27, 2024

The progress of our society is reflected in the building sector, which emphasises necessity constantly modifying instruments to take advantage new opportunities. An example cutting-edge technology with potential completely transform construction sector Internet Things (IoT). goal this comprehensive analysis help industry improve understanding how crucial it embrace IoT. In study, a systematic review relevant literature was conducted identify factors that contribute enhancing IoT applications industry. primary objective list and evaluate most important uses, advantages difficulties using sector. This revealed has significant by improving productivity, safety, sustainability quality across entire lifecycle. However, barriers such as data privacy cybersecurity lack standardised protocols need be addressed. concludes likely revolutionise coming years if these challenges can overcome. These findings imply firms experiment analytic tools phased use cases, whilst policy groups must collaborate on standards protocols. Although obstacles exist, strategic implementation promises major operational breakthroughs near future.

Language: Английский

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Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey

Journal of Information and Intelligence, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

The pace of society development is faster than ever before, and the smart city paradigm has also emerged, which aims to enable citizens live in more sustainable cities that guarantee well-being a comfortable living environment. This been done by network new technologies hosted real time track activities provide solutions for incoming requests or problems citizens. One most often used methodologies creating Internet Things (IoT). Therefore, IoT-enabled research topic, consists many different domains such as transportation, healthcare, agriculture, recently attracted increasing attention community. Further, advances artificial intelligence (AI) significantly contribute growth IoT. In this paper, we first present concept, background components IoT-based city. followed up literature review on recent developments breakthroughs empowered AI techniques highlight current stage, major trends unsolved challenges adopting AI-driven IoT establishment desirable cities. Finally, summarize paper with discussion future recommendations direction domain.

Language: Английский

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A systematic literature review of citizen science in urban studies and regional urban planning: policy, practical, and research implications

Urban Ecosystems, Journal Year: 2025, Volume and Issue: 28(2)

Published: Feb. 21, 2025

Language: Английский

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