Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health

Sustainability, Год журнала: 2023, Номер 15(18), С. 13493 - 13493

Опубликована: Сен. 8, 2023

Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in driving sustainability across various sectors. This paper reviews recent advancements AI DL explores their applications achieving sustainable development goals (SDGs), renewable energy, environmental health, smart building energy management. has the to contribute 134 of 169 targets all SDGs, but rapid these technologies necessitates comprehensive regulatory oversight ensure transparency, safety, ethical standards. In sector, been effectively utilized optimizing management, fault detection, power grid stability. They also demonstrated promise enhancing waste management predictive analysis photovoltaic plants. field integration facilitated complex spatial data, improving exposure modeling disease prediction. However, challenges such as explainability transparency models, scalability high dimensionality with next-generation wireless networks, ethics privacy concerns need be addressed. Future research should focus on developing scalable algorithms for processing large datasets, exploring addressing considerations. Additionally, efficiency models is crucial use technologies. By fostering responsible innovative use, can significantly a more future.

Язык: Английский

---

Application of Internet of Things (IoT) in Sustainable Supply Chain Management

Sustainability, Год журнала: 2022, Номер 15(1), С. 694 - 694

Опубликована: Дек. 30, 2022

The traditional supply chain system included smart objects to enhance intelligence, automation capabilities, and intelligent decision-making. Internet of Things (IoT) technologies are providing unprecedented opportunities efficiency reduce the cost existing chain. This article aims study prevailing explore benefits obtained after embedded networks IoT implanted. Short-range communication technologies, radio frequency identification (RFID), middleware, cloud computing extensively comprehended conceptualize management system. Moreover, manufacturers achieving maximum in terms safety, cost, inventory, also offers concepts carriage, loading/unloading, transportation, warehousing, packaging for secure distribution products. Furthermore, tracking customers convince them make more purchases modification shops with assistance thoroughly idealized.

Язык: Английский

---

Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing

Oeconomia Copernicana, Год журнала: 2022, Номер 13(4), С. 1047 - 1080

Опубликована: Дек. 30, 2022

Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels the manufacturing enterprises, there is an instrumental need for comprehending how systems can provide increased value and precision in complex operational processes. Purpose article: In this research, prior findings were cumulated proving that integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial creation, digitized mass production. Methods: Throughout April June 2022, by employing Preferred Reporting Items Systematic Reviews Meta-analysis (PRISMA) guidelines, a quantitative literature review ProQuest, Scopus, Web Science databases was performed, with search terms including ?cognitive Industrial Internet Things?, automation?, systems?, ?cognitively-enhanced machine?, technology-driven computing technologies,? technologies.? The Review Data Repository (SRDR) leveraged, software program collecting, processing, analysis our research. quality selected scholarly sources evaluated harnessing Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing Methodological Quality Reviews) deployed intelligence intelligent workflows, Dedoose used mixed methods VOSviewer layout algorithms Dimensions bibliometric mapping served as visualization tools. Findings & added: Cognitive developed on product lifecycle management, Things-based production logistics, deep learning-assisted smart process planning, optimizing creation capabilities algorithms. Subsequent interest should be oriented to predictive maintenance assist use

Язык: Английский

---

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

---

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

---

The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

Oeconomia Copernicana, Год журнала: 2023, Номер 14(3), С. 731 - 767

Опубликована: Сен. 30, 2023

Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose article: The objective this paper to develop a systematic review relevant literature identify effects change, especially adoption AI in organizations, on employees’ skills (professional dimension) well-being (personal dimension). Methods: To implement research scope, authors relied Khan's five-step methodology, which included PRISMA flowchart with embedded keywords for selecting appropriate quantitative data study. Firstly, 639 scientific papers published between March 2020 2023 (the end COVID-19 according WHO) from Scopus Web Science (WoS) databases were selected. After applying procedures techniques, 103 articles retained, focused dimension, while 35 component. Findings & value added: Evidence has been presented highlighting difficulties associated ongoing requirement upskilling or reskilling as an adaptive reaction changes. efforts counterbalance skill mismatch impacted employees' challenging times. Although emphasis digital widely accepted, our investigation shows topic still not properly developed. paper's most significant contributions found thorough analysis affects well-being, representative aspects researched academic due paradigm changes generated continuous disruptions.

Язык: Английский

---

An Enhanced Energy Optimization Model for Industrial Wireless Sensor Networks Using Machine Learning

IEEE Access, Год журнала: 2023, Номер 11, С. 96343 - 96362

Опубликована: Янв. 1, 2023

Industrial Wireless Sensor Networks (WSNs) are becoming increasingly popular due to their enhanced scalability and low cost of deployment. However, they also present new challenges, such as energy optimization network maintenance, which industrial users must address. In order meet the Machine Learning techniques have been used create an model for WSNs. This utilizes knowledge-based learning identify optimize consumption nodes, allowing WSNs consume least amount given tasks. addition, evaluates effectiveness feedback control schemes predicts best possible outcomes its application in ensure higher efficiency longer lifetime. The enables exploration potential trade-offs between power communication performance a better energy-efficient solution. proposed EEOM obtained 64.72% transmission consumption, 35.28% saving, 67.27% received 32.73% storage, 52.16% idle-mode 47.84% 66.31% sleep-mode 33.69% storage. It 90.44% prevalence threshold, 90.33% critical success index, 93.93% Delta-P, 90.06% MCC 92.17% FMI rates. provides ability selection nodes paths data reduce traffic. When applied conjunction with manual intervention, these automated will make more reliable, efficient, energy-cost effective.

Язык: Английский

---

Big data management algorithms in artificial Internet of Things-based fintech

Oeconomia Copernicana, Год журнала: 2023, Номер 14(3), С. 769 - 793

Опубликована: Сен. 30, 2023

Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose the article: We aim to show that fintech decrease transaction expenses and consolidates stock liquidity, enabling excess leverage cutting down information asymmetry across capital markets. AI- fintechs enable immersive collaborative financial transactions, purchases, investments relation payment tokens metaverse wallets, managing data, infrastructure, value exchange shared interactive virtual 3D simulated environments. Methods: AMSTAR is comprehensive critical measurement tool harnessed systematic review methodological quality evaluation, DistillerSR producing accurate transparent evidence-based research through literature stage automation, MMAT appraises describes study checklist mixed studies reviews terms content validity predictors, Rayyan responsive intuitive knowledge synthesis cloud-based architecture for article inclusion exclusion suggestions, ROBIS bias risk relevance concerns. As reporting assessment tool, PRISMA flow diagram, generated Shiny App, was used. bibliometric visualization construction tools large datasets networks, Dimensions VOSviewer were leveraged. Search “fintech” + “artificial intelligence”, “big data management algorithms”, “Internet Things”, search period June 2023, published inspected selected sources 35 out 188. Findings & added: The growing volume products optimized operational industries provide firms with multifarious options quickly. Big data-driven innovations are pivotal markets institution efficiency. Through technological process innovation capabilities, AI system-based businesses further automated services.

Язык: Английский

---

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

---

Digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms in the Industry 4.0-based Slovak labor market

Oeconomia Copernicana, Год журнала: 2024, Номер 15(1), С. 95 - 143

Опубликована: Фев. 21, 2024

Research background: On the basis of an analysis current situation and expectations in field implementation elements Industry 4.0 concept, purpose this paper is to identify effects on labor market large manufacturing enterprises Slovak Republic. Purpose article: The presented work has a theoretical-empirical nature consists theoretical section practical section, which includes statistical indicator quantitative research. In discusses issue general, with focus its impact market, thus laying groundwork for future research subject. Methods: output selected indicators industry sector Republic, based most recent employment data first stage survey second stage, respondents being companies operating whose primary objective determine status technologies production as well factors influencing situation, such digital twin simulation modeling, artificial intelligence-based Internet Manufacturing Things systems, virtual machine cognitive computing algorithms. Findings & value added: findings indicate that degree digitization adopted by businesses Republic comparatively less robust more sluggish adapt. This primarily attributable underdeveloped educational system, population reluctance, self-actualization, inadequate state support. Recommendations aim increase proficiency general populace through various means, reforming legislation, enhancing support entrepreneurs, modifying education constituting added work.

Язык: Английский

---