The Influence of Emerging Technologies on Distance Education

Electronics, Journal Year: 2023, Volume and Issue: 12(7), P. 1550 - 1550

Published: March 25, 2023

Recently, during the COVID-19 pandemic, distance education became mainstream. Many students were not prepared for this situation—they lacked equipment or even connected to Internet. Schools and government institutions had react quickly allow learn remotely. They provide with (e.g., computers, tablets, goggles) but also them access Internet other necessary tools. On hand, teachers trying adopt new technologies in teaching process enable more interactivity, mitigate feelings of isolation disconnection, enhance student engagement. New technologies, including Virtual Reality (VR), Augmented (AR), Mixed (MR), Extended (XR, so-called Metaverse), Big Data, Blockchain, Free Space Optics (FSO) changed learning, teaching, assessing. Despite that, some tools implemented fast, pandemic was trigger process; most these will be used further, classroom both schools universities. This paper presents a concise review emerging applied education. The main emphasis placed on their influence efficiency learning psychological impact users. It turned out that satisfied remote while case undergraduate children high-school students, parents very often expressed dissatisfaction. limitation availability is related stable computer equipment, which rarity. In current social context, obtained results provided valuable insights into factors affecting acceptance Finally, suggests research direction development effective techniques.

Language: 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, 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

---

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, Journal Year: 2023, Volume and Issue: 13(3), P. 1681 - 1681

Published: Jan. 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.

Language: Английский

---

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

Oeconomia Copernicana, Journal Year: 2023, Volume and Issue: 14(3), P. 731 - 767

Published: Sept. 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.

Language: Английский

---

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

Oeconomia Copernicana, Journal Year: 2023, Volume and Issue: 14(3), P. 769 - 793

Published: Sept. 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.

Language: Английский

---

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

Mathematics, Journal Year: 2023, Volume and Issue: 11(9), P. 1981 - 1981

Published: April 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.

Language: Английский

---

A Dual-Direction Attention Mixed Feature Network for Facial Expression Recognition

Electronics, Journal Year: 2023, Volume and Issue: 12(17), P. 3595 - 3595

Published: Aug. 25, 2023

In recent years, facial expression recognition (FER) has garnered significant attention within the realm of computer vision research. This paper presents an innovative network called Dual-Direction Attention Mixed Feature Network (DDAMFN) specifically designed for FER, boasting both robustness and lightweight characteristics. The architecture comprises two primary components: (MFN) serving as backbone, (DDAN) functioning head. To enhance network’s capability in MFN, resilient features are extracted by utilizing mixed-size kernels. Additionally, a new (DDA) head that generates maps orientations is proposed, enabling model to capture long-range dependencies effectively. further improve accuracy, novel loss mechanism DDAN introduced with different heads focusing on distinct areas input. Experimental evaluations several widely used public datasets, including AffectNet, RAF-DB, FERPlus, demonstrate superiority DDAMFN compared other existing models, which establishes state-of-the-art field FER.

Language: Английский

---

The impacts of dynamic capabilities on SMEs' digital transformation process: The resource-based view perspective

Oeconomia Copernicana, Journal Year: 2023, Volume and Issue: 14(Online First), P. 1367 - 1392

Published: July 28, 2023

Research background: SMEs' concern for the digital literacy of their workforce, interest in increasing among employees, and securing platforms, have been major issues transformation process. To reduce those obstacles, dynamic capabilities SMEs included Resource-based View (RBV) might be an effective solution since they help companies more competitive proactive against threats face digitalization Purpose article: This research aims to investigate whether positively contribute Methods: In line with proposed relationships, this paper analyzes from Czechia by running Ordinal Logistic Regression analyses. The sample is created stratified random sampling purposive methods. data collected via telephone surveys. Findings & value added: does not find a positive relationship between While results related are negatively associated transformation, no significant exists security actions SMEs. extends scope RBV on analyzing various that sole study. Moreover, perceptions SME executives considered provide solutions problems transformation. Having joint venture agreement well-experienced IT companies, having network partner firms, looking funding opportunities EU, participating some practical training, providing internships bachelor students enable hit targets

Language: Английский

---

Deep study on autonomous learning techniques for complex pattern recognition in interconnected information systems

Computer Science Review, Journal Year: 2024, Volume and Issue: 54, P. 100666 - 100666

Published: Sept. 20, 2024

Language: Английский

---

How Particular Firm-Specific Features Influence Corporate Debt Level: A Case Study of Slovak Enterprises

Axioms, Journal Year: 2023, Volume and Issue: 12(2), P. 183 - 183

Published: Feb. 10, 2023

Debt financing is related to borrowing funds from enterprises and investors through bonds, banks, or financial institutions. Interest in debt has been rapidly growing recent years now considered one of the most common ways an enterprise can increase its capital run business. However, use a large amount associated with management corporate indebtedness, requiring tracking entire performance company. The chief objective this study was determine assess indebtedness level operating Slovak Republic using 12 crucial ratios then clarify whether there are statistically relevant dissimilarities as result firm size legal form, representing company-specific features having impact on indebtedness. Subsequently, more elaborate analysis addressing between separate relation company form carried out by deploying nonparametric Kruskal–Wallis test. We leveraged Bonferroni correction specify where stochastic ascendancy occurs. test revealed significant values company, which confirmed previous results indicating determinants shaping debt. Recognizing repercussions policy plays important role, these may be perceived proxies for default likelihood volatility assets, making regulatory process creditors stakeholders straightforward. findings theories numerous researchers who claimed that critical aspects

Language: Английский

---