Intersections of Big Data and IoT in Academic Publications: A Topic Modeling Approach

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 906 - 906

Published: Feb. 2, 2025

As vast amounts of data are generated from various sources such as social media, sensors and online transactions, the analysis Big Data offers organizations ability to derive insights make informed decisions. Simultaneously, IoT connects physical devices, enabling real-time collection exchange that transforms interactions within smart homes, cities industries. The intersection these fields is essential, leading innovations predictive maintenance, traffic management personalized solutions. Utilizing a dataset 8159 publications sourced Web Science database, our research employs Natural Language Processing (NLP) techniques selective human validation analyze abstracts, titles, keywords other useful information, uncovering key themes trends in both research. Six topics extracted using Latent Dirichlet Allocation. In Topic 1, words like “system” “energy” among most frequent, signaling 1 revolves around systems technologies, likely context energy-related applications. 2 focuses on application indicated by terms “technologies”, “industry” “research”. It deals with how related technologies transforming 3 emphasizes learning research, indicating focus machine oriented toward involving new methods models domain algorithms. 4 highlights smart, suggesting systems. 5 touches upon role digital chains supply systems, an industrial transformation. 6 technical aspects modeling, system performance prediction delves into efficiency networks “accuracy”, “power” “performance” standing out.

Language: Английский

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Trends in Smart Restaurant Research: Bibliometric Review and Research Agenda

F1000Research, Journal Year: 2025, Volume and Issue: 13, P. 1505 - 1505

Published: Feb. 17, 2025

Background The automation of processes and services has transformed various industries, including the restaurant sector. Technologies such as Internet Things (IoT), machine learning, Radio Frequency Identification (RFID), big data have been increasingly adopted to enhance service delivery, improve user experiences, enable traceability. By collecting feedback analyzing sentiments, these technologies facilitate decision-making offer predictive insights into future food preferences. This study aims explore current research trends in intelligent restaurants, focusing on technological applications that decision-making. Methods A bibliometric analysis was conducted accordance with PRISMA-2020 guidelines. total 94 academic documents were reviewed from Scopus Web Science databases, publications related systems, particularly involving IoT technologies. Results revealed United States, India, China contributed most field, a particular emphasis China’s implementation architecture robotics settings. Chinese innovations, robotics, are among frequently cited literature. identifies countries leading domain. Conclusions IoT, RFID, driving advancements automation, enhancing efficiency experience. this area, standing out for its application restaurants. provides foundation studies aimed at improving models selection optimization.

Language: Английский

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Integral Role of Blockchain and Artificial Intelligence in Sustainable Economic Development

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 271 - 290

Published: Feb. 21, 2025

Blockchain technology and Artificial Intelligence (AI) play variety of roles in sustainable economic growth tackling a range social, economic, environmental issues. AI boosts labor productivity propels by automating processes increasing across industries. Transparency transactions is guaranteed blockchain's decentralized unchangeable structure, which essential for business processes. Since they foster social inclusion, prosperity, sustainability, blockchain are line with the Sustainable Development Goals. Ultimately, formidable tools that advance growth. Their unique set abilities provides ground-breaking ways to improve performance, transparency wide Keeping view above, this chapter analyzes integral role enhancing development. It explores legal framework concerning usage several regions countries.

Language: Английский

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The Integration of IoT (Internet of Things) Sensors and Location-Based Services for Water Quality Monitoring: A Systematic Literature Review

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1918 - 1918

Published: March 19, 2025

The increasing demand for clean and reliable water resources, coupled with the growing threat of pollution, has made real-time quality (WQ) monitoring assessment a critical priority in many urban areas. Urban environments encounter substantial challenges maintaining WQ, driven by factors such as rapid population growth, industrial expansion, impacts climate change. Effective WQ is essential safeguarding public health, promoting environmental sustainability, ensuring adherence to regulatory standards. advancement Internet Things (IoT) sensor technologies smartphone applications presents an opportunity develop integrated platforms assessment. Advances IoT provide transformative solution monitoring, revolutionizing way we assess manage our resources. Moreover, recent developments Location-Based Services (LBSs) Global Navigation Satellite Systems (GNSSs) have significantly enhanced accessibility accuracy location information. With proliferation GNSS services, GPS, GLONASS, Galileo, BeiDou, users now access diverse range data that are more precise than ever before. These advancements it easier integrate information into various applications, from planning disaster management transportation. availability multi-GNSS support allows improved satellite coverage reduces potential signal loss or densely built environments. To harness this enable seamless integration LBSs sustainable systematic literature review was conducted determine past trends future opportunities. This research aimed limitations traditional systems while fostering understanding positioning capabilities development. highlights both using offering insights current state technology its There pressing need integrated, system cost-effective accessible. Such should leverage networks continuous immediate feedback, spatially dynamic insights, empowering stakeholders address issues collaboratively efficiently.

Language: Английский

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Comprehensive TCAD simulation and optimization of lead-free AgBiI4 solar cells: Migration from single cell to high-performance indoor photovoltaic modules

Ain Shams Engineering Journal, Journal Year: 2025, Volume and Issue: 16(5), P. 103371 - 103371

Published: April 1, 2025

Language: Английский

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The Future of Sustainability Education

Advances in human services and public health (AHSPH) book series, Journal Year: 2024, Volume and Issue: unknown, P. 209 - 232

Published: Sept. 12, 2024

The world is struggling due to the issue of climate change; therefore, it essential develop collaborative effort from a coalition organizations make sustainability education effective. This not only promotes ways amend sustainable practices; but also, helps address issues at global level. present research has been attempted for purpose defining future through integrating subject into mainstream and policy frameworks. Also, focus laid on role technological advancements, which improves teaching learning processes also defines contribution technology in saving environment. From study, several challenges have identified that impede education; take necessary steps or formulate effective strategies improve efforts community.

Language: Английский

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Trends in Smart Restaurant Research: Bibliometric Review and Research Agenda

F1000Research, Journal Year: 2024, Volume and Issue: 13, P. 1505 - 1505

Published: Dec. 9, 2024

Background The automation of processes and services has transformed various industries, including the restaurant sector. Technologies such as Internet Things (IoT), machine learning, Radio Frequency Identification (RFID), big data have been increasingly adopted to enhance service delivery, improve user experiences, enable traceability. By collecting feedback analyzing sentiments, these technologies facilitate decision-making offer predictive insights into future food preferences. This study aims explore current research trends in intelligent restaurants, focusing on technological applications that decision-making. Methods A bibliometric analysis was conducted accordance with PRISMA-2020 guidelines. total 94 academic documents were reviewed from Scopus Web Science databases, publications related systems, particularly involving IoT technologies. Results revealed United States, India, China contributed most field, a particular emphasis China’s implementation architecture robotics settings. Chinese innovations, robotics, are among frequently cited literature. identifies countries leading domain. Conclusions IoT, RFID, driving advancements automation, enhancing efficiency experience. this area, standing out for its application restaurants. provides foundation studies aimed at improving models selection optimization.

Language: Английский

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Sistema de riego automatizado para un cultivo de pequeña superficie

Revista Tecnológica - ESPOL, Journal Year: 2024, Volume and Issue: 36(2), P. 32 - 45

Published: Dec. 30, 2024

Small-scale farming is an emerging trend that seeks not only to raise awareness about self-sustainability but also promote responsible agricultural practices, reduce the ecological footprint, and encourage consumption of fresh local food. One identified issue lack automation, especially in irrigation. In this context, objective project design automated irrigation system using Internet Things, managed through a mobile application. The methodology used was based on service design, incorporating techniques such as strategic planning, needs analysis, resource management. Sensors sprinklers adapted terrain were distributed, collecting data soil moisture, pH, temperature. This information stored cloud for consultation management via device. results show greater efficiency rational water use, higher productivity, reduced manual labor, real-time remote monitoring, collection historical enhance future practices. approach optimizes resources promotes more sustainable environmentally conscious farming.

Language: Английский

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