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, Год журнала: 2023, Номер 12(2), С. 35 - 35

Опубликована: Янв. 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.

Язык: Английский

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Machine Intelligence and Autonomous Robotic Technologies in the Corporate Context of SMEs: Deep Learning and Virtual Simulation Algorithms, Cyber-Physical Production Networks, and Industry 4.0-Based Manufacturing Systems

Applied Sciences, Год журнала: 2023, Номер 13(3), С. 1681 - 1681

Опубликована: Янв. 28, 2023

This study examines Industry 4.0-based technologies, focusing on the barriers to their implementation in European small- and medium-sized enterprises (SMEs). The purpose of this research was determine most significant obstacles that prevent SMEs from implementing smart manufacturing, as well identify important components such an operationalization evaluate whether only large businesses have access technological opportunities given financial complexities adoption. is premised notion that, setting cyber-physical production systems, gap between massive corporations may result disadvantages for latter, leading market exclusion by former. aim achieved secondary data analysis, where previously gathered were assessed analyzed. need investigate topic originates fact require more than corporations, which are typically focus mainstream debates. findings validated 4.0′s critical role process planning provided deep learning virtual simulation algorithms, especially industrial production. also discussed connection options a means enhancing business efficiency through machine intelligence autonomous robotic technologies. interaction 4.0 economic management organizations viewed possible source added value.

Язык: Английский

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Toward a greener future: A survey on sustainable blockchain applications and impact

Journal of Environmental Management, Год журнала: 2024, Номер 354, С. 120273 - 120273

Опубликована: Фев. 13, 2024

Язык: Английский

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Leveraging Smart City Technologies for Enhanced Real Estate Development: An Integrative Review

Smart Cities, Год журнала: 2025, Номер 8(1), С. 10 - 10

Опубликована: Янв. 7, 2025

This study aims to identify the added value of smart city technologies in real estate development, one most significant factors that would transform traditional into ones. In total, 16 utilized at both levels have been investigated. The research followed an integrative review methodology; is based on 168 publications. compiled results metadata analysis displayed state each technology’s values and usage scales. A total 131 were identified. These categorized life cycle sub-phases processes. Moreover, integration between these was revealed. proved are mature enough for practical use; therefore, developers, management, planners, experts should focus implementing them. City management invest Big Data geodata adopt several aspects required development. can influence stakeholders, enhance their decision-making which technology suit needs, provide recommendations who utilize Also, it provides a starting point stakeholders aim establish road map incorporating future estate.

Язык: Английский

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Remote Big Data Management Tools, Sensing and Computing Technologies, and Visual Perception and Environment Mapping Algorithms in the Internet of Robotic Things

Electronics, Год журнала: 2022, Номер 12(1), С. 22 - 22

Опубликована: Дек. 21, 2022

The purpose of our systematic review was to inspect the recently published research on Internet Robotic Things (IoRT) and harmonize assimilations it articulates remote big data management tools, sensing computing technologies, visual perception environment mapping algorithms. problems were whether robotic manufacturing processes industrial wireless sensor networks shape IoRT lead improved product quality by use devices communicate autonomously regarding event modeling forecasting leveraging machine learning clustering algorithms, image processing smart connected objects, situational awareness edge technologies configure systems cloud robotics in relation distributed task coordination through A Shiny app harnessed for Preferred Reporting Items Systematic Reviews Meta-analysis (PRISMA) guidelines flow diagram integrating evidence-based gathered processed (the search outcomes screening procedures). quantitative literature ProQuest, Scopus, Web Science databases carried out throughout June October 2022, with terms including “Internet Things” + “remote tools”, “sensing technologies”, “visual algorithms”. Artificial intelligence intelligent workflows AMSTAR (Assessing Methodological Quality Reviews), Dedoose, DistillerSR, SRDR (Systematic Review Data Repository) have been deployed as extraction tools collection, screening, evaluation, document monitoring, inspecting qualitative mixed methods research, establishing robust correlations. For bibliometric visualization, Dimensions AI leveraged regards layout VOSviewer harnessed.

Язык: Английский

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Use of Blockchain-Based Smart Contracts in Logistics and Supply Chains

Electronics, Год журнала: 2023, Номер 12(6), С. 1340 - 1340

Опубликована: Март 11, 2023

Blockchain is a disrupting technology that has the capability to completely alter design, activities, and product flows in logistics supply chain networks. It provides assurance of openness, immutability, transparency, security, neutrality for all agents stakeholders. In this paper, we explore improvements tradeoffs introduced by using blockchains management terms sustainability society, environment, economic dimensions chain. makes it much more difficult counterfeit products providing indisputable immutable proof provenance raw materials, products, sale end consumer. This can potentially enhance trust consumer financially benefit manufacturer through protection their intellectual property rights. paper explores benefits, applications, issues related usage blockchain smart contracts supply-chain management. We focus on implementation, deployment, audit, operational aspects applied terrestrial, maritime, aerial The also discusses opportunities challenges arise due use these sectors.

Язык: Английский

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Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks

Mathematics, Год журнала: 2023, Номер 11(9), С. 1981 - 1981

Опубликована: Апрель 22, 2023

Relevant research has investigated how predictive modeling algorithms, deep-learning-based sensing technologies, and big urban data configure immersive hyperconnected virtual spaces in digital twin cities: tools, monitoring Internet-of-Things-based decision support systems articulate big-data-driven geopolitics. This systematic review aims to inspect the recently published literature on simulation spatial cognition multi-sensor fusion technology sustainable governance networks. We integrate developing blockchain-based twins, smart infrastructure sensors, real-time Internet of Things assist computing technologies. The problems are whether: data-driven urbanism requires visual recognition simulation-based twins; environment perception mechanisms cities; modeling, optimize city environments. Our analyses particularly prove that navigation geospatial mapping connected sensors enable governance. Digital simulation, visualization ambient sound software Virtual deep learning neural network architectures, cyber-physical cognitive networked cities. Throughout January March 2023, a quantitative was carried out across ProQuest, Scopus, Web Science databases, with search terms comprising “sustainable networks” + “digital tools”, “spatial algorithms”, “multi-sensor technology”. A Preferred Reporting Items for Systematic Reviews Meta-analysis (PRISMA) flow diagram generated using Shiny App. AXIS (Appraisal tool Cross-Sectional Studies), Dedoose, MMAT (Mixed Methods Appraisal Tool), Review Data Repository (SRDR) were used assess quality identified scholarly sources. Dimensions VOSviewer employed bibliometric through layout algorithms. findings gathered from our clarify environments 3D technology, intelligent devices, modeling.

Язык: Английский

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Global Value Chains and Industry 4.0 in the Context of Lean Workplaces for Enhancing Company Performance and Its Comprehension via the Digital Readiness and Expertise of Workforce in the V4 Nations

Mathematics, Год журнала: 2023, Номер 11(3), С. 601 - 601

Опубликована: Янв. 24, 2023

Industry 4.0 affects nearly every aspect of life by making it more technologically advanced, creative, environmentally friendly and ultimately, interconnected. It also represents the beginning interconnectedness metaverse associated with 5.0. This issue is becoming decisive for advancement in all areas life, including science. The primary goal this study to concisely explain how current trends might interact existing work systems global value chains accelerate their operational activity context firms from Visegrad Four (V4) nations. Through an examination digital abilities these nations, purpose demonstrate well citizens, employees, end users are able comprehend problem at hand. most recent resources topics covered first section work. next one uses graphic analysis mutual comparison methods, generally comparing data over time; secondary research, through methods applications can significantly speed up process itself when compared traditional lean process, primarily because its structure. difficult predict which V4 will be digitally prepared, as precedent shifts based on distinct indicators; therefore, crucial that nations expand adaptability dramatically each year, a result spending scientific education organised appropriately. extra effort may attributed processes intertwined trend’s experience, already includes 5.0 artificial intelligence metaverse, represent potential further research future.

Язык: Английский

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The Impact of Digitalization on Public Administration, Economic Development, and Well-Being in the EU Countries

Central European Public Administration Review, Год журнала: 2022, Номер 20(2), С. 9 - 31

Опубликована: Ноя. 28, 2022

Purpose: Digitalization has been the driving change in creating jobs and increasing economic growth recent years. However, digitalization of countries sectors is uneven. The paper focuses on various factors that have an impact development well-being EU countries. Its purpose to show evolution terms digital transformation how other indicators, such as e-government, human index, labour productivity, influenced 2019–2021.Design/methodology/approach: dataset consists 15 numerical indicators extracted from Eurostat World Bank databases. We apply principal component analysis cluster analysis.Findings Practical Implications: main research results first dimension – named innovation dominated by percentage ICT specialists total, internet use individuals, Human Development Index, Happiness Indicator, capital, integration technology. second characterized government expenses productivity. Finally, third GDP rate. 77.67% total variance explained three components.Originality: Four clusters identified means K-Means clustering algorithm. All four are well determined, with 1 including Nordic ranking first, followed 3 well-developed 4 containing mainly emerging economies.

Язык: Английский

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Security Level Significance in DApps Blockchain-Based Document Authentication

Aptisi Transactions On Technopreneurship (ATT), Год журнала: 2022, Номер 4(3), С. 292 - 305

Опубликована: Окт. 28, 2022

In the development of Industrial revolution 4.0 to improve and modify world's industry by integrating production lines, extraordinary results in field technology information marked its emergence. It can be used enhance document security systems using Blockchain technology. Innovation Authentication has attracted great attention world science capital markets. The persistent problems many available digital currencies various tricks early coin offerings also welcome well-known discussion emerging innovations education. importance this paper follows improvement blockchain framework reveal decentralized applications (dApps) on future value This study uses a descriptive method, which is research method describe that occur present or ongoing, aiming what happened as it should when was conducted. novelty cutting-edge dApps talk about title progress meet positive attributes dApps. Readers will come conclusion dApp know continuous .

Язык: Английский

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