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Journal articles on the topic 'Modern data stack'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Gandhari, Supriya. "The Modern CPG Data Stack: Building End-To-End Analytics on Azure, Snowflake, And Dbt." American Journal of Interdisciplinary Innovations and Research 7, no. 07 (2025): 91–100. https://doi.org/10.37547/tajiir/volume07issue07-08.

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Consumer Packaged Goods (CPG) firms encounter distinct obstacles in handling the extensive data produced from sales, supply chains, customer interactions, and market patterns. To tackle these obstacles, organizations are progressively implementing a contemporary data stack. This document examines how using Microsoft Azure, Snowflake, and DBT technologies can create a comprehensive analytics stack that improves scalability, data transformation, and decision-making processes. The paper outlines the technical framework, best practices, and real-world examples that showcase the implementation of t

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Simoes, J., and A. Cerciello. "SERVING GEOSPATIAL DATA USING MODERN AND LEGACY STANDARDS: A CASE STUDY FROM THE URBAN HEALTH DOMAIN." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 419–25. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-419-2022.

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Abstract. The eMOTIONAL Cities project sets out to understand how the natural and built environment can shape the feelings and emotions of those who experience it. It does so with a cross-disciplinary approach which includes urban planners, doctors, psychologists, neuroscientists and engineers. At the core of this research project, lies a Spatial Data Infrastructure (SDI) which assembles datasets that characterise the emotional landscape and built environment, in different Cities across Europe and the US. The SDI is a key tool, not only to make the research data available within the project co

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Jain, Nehal. "Design and Development of a Full-Stack Book Store Application." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43090.

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Full-stack development is essential for modern web applications, ensuring a seamless user experience and efficient data management. This project focuses on developing a full-stack book store application using the MERN (MongoDB, Express.js, React, Node.js) stack. The application supports CRUD operations (Create, Read, Update, Delete), allowing users to browse, purchase, and manage books. JWT-based authentication and authorization ensure user data security. The backend is built with Express.js and MongoDB, providing robust API endpoints, while the frontend is developed using React.js to create a

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Fitra, Muhammad Rizki Andrian, Ega Pratama, Muhammad Zidane Al Kautsar, Fatimah Asro Harahap, and Fanny Ramadhani. "Implementation of a Stack Data Structure for Browsing History Management in the Form of a Chrome Web Browser Extension." Indonesian Journal of Education and Development Research 3, no. 1 (2024): 239–48. https://doi.org/10.57235/ijedr.v3i1.4576.

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Browsing history is a fundamental feature in modern browsers, yet its management remains inefficient in many implementations. This research develops a Chrome extension utilizing the Stack data structure, leveraging its Last In, First Out (LIFO) principle to store, search, delete, and open browsing history URLs efficiently. The system is designed with Chrome's API to monitor tab activities, store data locally, and provide an interactive user interface. The findings demonstrate that the stack-based approach is more efficient than conventional methods. The system also offers users straightforward

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Mühlig, Jan, Michael Müller, Olaf Spinczyk, and Jens Teubner. "mxkernel: A Novel System Software Stack for Data Processing on Modern Hardware." Datenbank-Spektrum 20, no. 3 (2020): 223–30. http://dx.doi.org/10.1007/s13222-020-00357-5.

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Abstract Emerging hardware platforms are characterized by large degrees of parallelism, complex memory hierarchies, and increasing hardware heterogeneity. Their theoretical peak data processing performance can only be unleashed if the different pieces of systems software collaborate much more closely and if their traditional dependencies and interfaces are redesigned. We have developed the key concepts and a prototype implementation of a novel system software stack named mxkernel. For MxKernel, efficient large scale data processing capabilities are a primary design goal. To achieve this, heter

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Kushwaha, Aman, and Dr Subodhini Gupta. "Full Stack Web Development." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–14. http://dx.doi.org/10.55041/ijsrem37848.

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Full-stack development encompasses the comprehensive design and implementation of both client-side and server-side components of web applications. Utilizing HTML for structuring content, CSS for styling and layout, and JavaScript for dynamic interactivity, developers create engaging and responsive user interfaces. On the server side, PHP serves as a robust scripting language for handling back-end logic, including data processing and application flow. Coupled with MongoDB, a NoSQL database, developers manage data storage and retrieval efficiently, leveraging its flexibility for complex data str

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Adnyana, I. Gede, Ayu Manik Dirgayusari, and Ketut Jaya Atmaja. "Data Visualization for Building a Cyber Attack Monitoring Dashboard Based on Honeypot." sinkron 8, no. 4 (2024): 2510–18. http://dx.doi.org/10.33395/sinkron.v8i4.14144.

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Computer networks are essential for modern life, enabling efficient global information exchange. However, as technology advances, network security challenges grow. To enhance security, honeypots are used alongside firewalls, mimicking legitimate systems to attract hackers and analyze their attack methods. In this research, Cowrie and Dionaea honeypots are implemented. Cowrie targets brute force attacks on SSH, while Dionaea detects port scanning and denial of service (DoS) attacks. These honeypots effectively capture and log malicious activities, providing insights into attack patterns. The co

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Kravchenko, Ilia, Risto Kosonen, Juha Jokisalo, and Simo Kilpeläinen. "Simulation of modern passive stack ventilation in a retrofitted Nordic apartment building." E3S Web of Conferences 362 (2022): 14003. http://dx.doi.org/10.1051/e3sconf/202236214003.

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Some heritage or protected residential buildings in Nordic conditions require retrofit; however, having limited or no access to the reconstruction of the ventilation system; thus, the native natural ventilation system must be preserved. Some retrofitted buildings are then equipped with modern passive stack ventilation systems implemented with self-regulated supply inlets. Although natural ventilation strongly depends on climate conditions, creating challenges in the design phase as the indoor air quality can not be guaranteed. In this study, such a building was modelled, and a novel self-regul

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Madhavan, Joel Paul. "Banking Operations Through Data Analysis." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03519.

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Abstract— In the evolving landscape of personal finance, users often rely on multiple disjointed applications to manage expenses, monitor stock portfolios, and receive investment advice. This paper evaluates the usability and effectiveness of integrating these core functionalities into a single, unified platform. We developed a full-stack web application that combines an Expense Tracker, a Stock Visualizer, and a Stock Suggestor. The goal is to eliminate the need for switching between various financial tools, thereby improving convenience, reducing cognitive load, and enhancing financial decis

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Pedreira, Pedro, Deepak Majeti, and Orri Erling. "Composable Data Management: An Execution Overview." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4249–52. http://dx.doi.org/10.14778/3685800.3685847.

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The trend of decomposing monolithic data management systems into a stack of reusable components has quickly gained momentum across the industry. Although a series of open-source projects have emerged targeting different layers of the stack, execution engines are of special importance due to the complexity they encapsulate, and the demand to optimize price-performance. In this tutorial, we will survey the space of composability in data management, focusing on the execution layer. We will discuss the main APIs, integration with existing and novel data management systems, and how specialized beha

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Tkachenko, Oleksandr, and Vitalii Bondar. "Some Aspects of Using Node.js and MongoDB in Creating Educational Web Applications." Digital Platform: Information Technologies in Sociocultural Sphere 6, no. 1 (2023): 76–89. http://dx.doi.org/10.31866/2617-796x.6.1.2023.283958.

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The purpose of the article is to study and analyze various components of the Full Stack JavaScript concept and to consider common problems and prospects for developing a prototype educational web application based on it. The research methods are the main methodological approaches and technological tools for the development of intelligent learning systems with elements of gamification based on the use of an appropriate multi-level ontological model. These methods include, in particular: systemic and comparative analyses to identify the features of creating scalable and high-performance web appl

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Tkachenko, Oleksandr, and Vitalii Bondar. "Some Aspects of Using Node.js and MongoDB in Creating Educational Web Applications." Digital Platform: Information Technologies in Sociocultural Sphere 6, no. 1 (2023): 76–89. https://doi.org/10.31866/2617-796X.6.1.2023.283958.

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The purpose of the article is to study and analyze various components of the Full Stack JavaScript concept and to consider common problems and prospects for developing a prototype educational web application based on it. The research methods are the main methodological approaches and technological tools for the development of intelligent learning systems with elements of gamification based on the use of an appropriate multi-level ontological model. These methods include, in particular: systemic and comparative analyses to identify the features of creating scalable and high-performanc

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Anishkumar, Sargunakumar. "Integrating Logstash and Kibana for Full-Stack Monitoring Solutions." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 1 (2020): 1–7. https://doi.org/10.5281/zenodo.15086579.

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In today’s dynamic application ecosystems, full-stack monitoring is essential for ensuring performance, reliability, and rapid issue resolution. Traditional monitoring methods often provide fragmented insights, leaving gaps in visibility. This paper explores the integration of Logstash and Kibana — key components of the Elastic Stack — to build a comprehensive, scalable, and resilient monitoring solution. The architecture, implementation strategies, and real-world benefits are analyzed, alongside challenges and best practices. By combining Logstash's data processing capabilit

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Dexter, Philip, Yu David Liu, and Kenneth Chiu. "The essence of online data processing." Proceedings of the ACM on Programming Languages 6, OOPSLA2 (2022): 899–928. http://dx.doi.org/10.1145/3563320.

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Data processing systems are a fundamental component of the modern computing stack. These systems are routinely deployed online: they continuously receive the requests of data processing operations, and continuously return the results to end users or client applications. Online data processing systems have unique features beyond conventional data processing, and the optimizations designed for them are complex, especially when data themselves are structured and dynamic. This paper describes DON Calculus, the first rigorous foundation for online data processing. It captures the essential behavior

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Januschowski, Tim, Yuyang Wang, Jan Gasthaus, et al. "A Flexible Forecasting Stack." Proceedings of the VLDB Endowment 17, no. 12 (2024): 3883–92. http://dx.doi.org/10.14778/3685800.3685813.

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Forecasting extrapolates the values of a time series into the future, and is crucial to optimize core operations for many businesses and organizations. Building machine learning (ML)-based forecasting applications presents a challenge though, due to non-stationary data and large numbers of time series. As there is no single dominating approach to forecasting, forecasting systems have to support a wide variety of approaches, ranging from deep learning-based methods to classical methods built on probabilistic modelling. We revisit our earlier work on a monolithic platform for forecasting from VL

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Medisetty, Arunkumar. "Intelligent Data Flow Automation for AI Systems via Advanced Engineering Practices." International Journal of Computational Mathematical Ideas 13, no. 01 (2021): 957–68. https://doi.org/10.70153/ijcmi/2021.13101.

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Modern Artificial Intelligence (AI) systems demand seamless, scalable, and intelligent data flows to support real-time analytics, model training, and automated decision-making. However, traditional data pipelines are often rigid, manual, and inefficient, leading to delays, data silos, and suboptimal model performance. This research explores how advanced data engineering techniques—such as real-time data streaming, automated ETL/ELT processes, data orchestration, schema evolution, and intelligent data validation can automate and optimize the end-to-end data flow in AI systems. A comprehensive f

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Bedle, Heather. "Seismic attribute enhancement of weak and discontinuous gas hydrate bottom-simulating reflectors in the Pegasus Basin, New Zealand." Interpretation 7, no. 3 (2019): SG11—SG22. http://dx.doi.org/10.1190/int-2018-0222.1.

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Gas hydrates in the oceanic subsurface are often difficult to image with reflection seismic data, particularly when the strata run parallel to the seafloor and in regions that lack the presence of a bottom-simulating reflector (BSR). To address and understand these imaging complications, rock-physics modeling and seismic attribute analysis are performed on modern 2D lines in the Pegasus Basin in New Zealand, where the BSR is not continuously imaged. Based on rock-physics and seismic analyses, several seismic attribute methods identify weak BSR reflections, with the far-angle stack data being p

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Pesicek, Jeremy D., Duncan Child, Brad Artman, and Konrad Cieślik. "Picking versus stacking in a modern microearthquake location: Comparison of results from a surface passive seismic monitoring array in Oklahoma." GEOPHYSICS 79, no. 6 (2014): KS61—KS68. http://dx.doi.org/10.1190/geo2013-0404.1.

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We present location results for a group of [Formula: see text] microearthquakes that occurred in 2012 in a region of Oklahoma hosting ongoing exploration activities. Using a local passive surface seismic monitoring network of 15 broadband stations, we applied two modern location techniques that use fundamentally different approaches. The first is a pick-based double-difference relocation method with waveform crosscorrelation. Multiple-event location techniques such as these are generally regarded as the best approach for obtaining high-precision locations from pick data. The second approach is

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Bakulin, Andrey, Ilya Silvestrov, Maxim Dmitriev, et al. "Nonlinear beamforming for enhancement of 3D prestack land seismic data." GEOPHYSICS 85, no. 3 (2020): V283—V296. http://dx.doi.org/10.1190/geo2019-0341.1.

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We have developed nonlinear beamforming (NLBF), a method for enhancing modern 3D prestack seismic data acquired onshore with small field arrays or single sensors in which weak reflected signals are buried beneath the strong scattered noise induced by a complex near surface. The method is based on the ideas of multidimensional stacking techniques, such as the common-reflection-surface stack and multifocusing, but it is designed specifically to improve the prestack signal-to-noise ratio of modern 3D land seismic data. Essentially, NLBF searches for coherent local events in the prestack data and

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Kumar, Prashant. "A Networking Platform developed using MERN Stack." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44846.

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Abstract - Social networks have emerged as the most influential information platforms on the internet today. They have become an integral part of modern life, with people spending a significant amount of time connecting and socializing online. As these platforms continue to expand, their influence on society has grown tremendously, making them deeply embedded in popular culture. However, while social networking offers numerous benefits, it also raises critical privacy concerns regarding data security and potential misuse. This paper explores the concept of social networking, its various applic

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Akash, Rakesh Sinha. "Enhancing Industry Intelligence: Visualizing Business Insights and making Data-Driven Decisions through Full-Stack Software Engineering." Journal of Scientific and Engineering Research 8, no. 1 (2021): 213–18. https://doi.org/10.5281/zenodo.11488986.

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In today's data-driven business landscape, the ability to effectively interpret and utilize vast amounts of data is crucial for making informed decisions and gaining competitive advantages. This research paper explores the transformative role of data visualization in simplifying complex business data to provide actionable insights. It highlights the integration of full-stack software engineering with advanced visualization technologies, underscoring the importance of these disciplines in creating intuitive and dynamic visual representations of data. Through a detailed examination of various vi

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Kravchenko, Ilia, Risto Kosonen, Juha Jokisalo, and Simo Kilpeläinen. "Performance of Modern Passive Stack Ventilation in a Retrofitted Nordic Apartment Building." Buildings 12, no. 2 (2022): 96. http://dx.doi.org/10.3390/buildings12020096.

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The paper analyses the performance of a five-storey apartment building equipped with modern passive stack ventilation in Nordic conditions. The passive stack ventilation system was retrofitted in 2019, and novel self-regulating air inlet devices with filters were equipped. The building was simulated with IDA ICE software, where the model of the self-regulating terminal units was developed using manufacturer product data. Several case scenarios were created to analyze the effects of poor maintenance, improved airtightness, and window opening on the system performance. For the analysis, one-room

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Kamau, Eunice, Teemu Myllynen, Anuoluwapo Collins, Gideon Opeyemi Babatunde, and Abidemi Adeleye Alabi. "Advances in Full-Stack Development Frameworks: A Comprehensive Review of Security and Compliance Models." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 1 (2024): 1172–85. https://doi.org/10.54660/.ijmrge.2024.5.1.1172-1185.

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The evolution of full-stack development frameworks has revolutionized the software development landscape, enabling seamless integration of front-end and back-end functionalities. With increasing reliance on web and mobile applications, security and compliance have become critical focal points in framework design and implementation. This review examines advances in full-stack development frameworks, emphasizing their security and compliance models to address modern-day challenges such as data breaches, unauthorized access, and regulatory non-compliance. The study explores prominent full-stack f

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Kamau, Eunice, Teemu Myllynen, Anuoluwapo Collins, Gideon Opeyemi Babatunde, and Abidemi Adeleye Alabi. "Advances in Full-Stack Development Frameworks: A Comprehensive Review of Security and Compliance Models." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 1 (2023): 639–52. https://doi.org/10.54660/.ijmrge.2023.4.1.639-652.

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The evolution of full-stack development frameworks has revolutionized the software development landscape, enabling seamless integration of front-end and back-end functionalities. With increasing reliance on web and mobile applications, security and compliance have become critical focal points in framework design and implementation. This review examines advances in full-stack development frameworks, emphasizing their security and compliance models to address modern-day challenges such as data breaches, unauthorized access, and regulatory non-compliance. The study explores prominent full-stack f

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Neeraj Bhat, Rakesh Sharma, Anushka Kaushik, Teerthesh Jain. ""MERN Stack Unveiled: A Research Study on the Technology's Architecture and Benefits"." Tuijin Jishu/Journal of Propulsion Technology 44, no. 1 (2023): 102–6. http://dx.doi.org/10.52783/tjjpt.v44.i1.2215.

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The MERN stack, is a modern web development paradigm that has gained great popularity for its adaptability, efficiency, and versatility. Express.js, a web application framework based on Node.js, and MongoDB, a NoSQL database, combine to create a dependable and responsive backend infrastructure. React, a dynamic JavaScript library, on the other hand, enables programmers to create interesting and interactive user interfaces. These elements are combined by Node.js, which serves as the runtime environment for JavaScript, enabling fluid communication and data flow. This research paper offers a thor

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Ayzel, Georgy, and Alexander Izhitskiy. "Coupling physically based and data-driven models for assessing freshwater inflow into the Small Aral Sea." Proceedings of the International Association of Hydrological Sciences 379 (June 5, 2018): 151–58. http://dx.doi.org/10.5194/piahs-379-151-2018.

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Abstract. The Aral Sea desiccation and related changes in hydroclimatic conditions on a regional level is a hot topic for past decades. The key problem of scientific research projects devoted to an investigation of modern Aral Sea basin hydrological regime is its discontinuous nature – the only limited amount of papers takes into account the complex runoff formation system entirely. Addressing this challenge we have developed a continuous prediction system for assessing freshwater inflow into the Small Aral Sea based on coupling stack of hydrological and data-driven models. Results show a good

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Chesalkin, Artem, Petr Kacor, and Petr Moldrik. "Heat Transfer Optimization of NEXA Ballard Low-Temperature PEMFC." Energies 14, no. 8 (2021): 2182. http://dx.doi.org/10.3390/en14082182.

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Hydrogen is one of the modern energy carriers, but its storage and practical use of the newest hydrogen technologies in real operation conditions still is a task of future investigations. This work describes the experimental hydrogen hybrid energy system (HHS). HHS is part of a laboratory off-grid system that stores electricity gained from photovoltaic panels (PVs). This system includes hydrogen production and storage units and NEXA Ballard low-temperature proton-exchange membrane fuel cell (PEMFC). Fuel cell (FC) loses a significant part of heat during converting chemical energy into electric

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Kumar, Amit. "Leveraging AI and Machine Learning for Scalable Full-Stack Solutions in Healthcare Systems." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 7313–22. https://doi.org/10.22214/ijraset.2025.71845.

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The integration of Artificial Intelligence (AI) and Machine Learning (ML) in full-stack healthcare solutions is revolutionizing the industry by enhancing scalability, efficiency, and decision-making. This research examines how AI-powered solutions can optimize healthcare applications by leveraging automation, predictive analytics, and real-time decision support. AIdriven algorithms improve disease diagnosis, automate medical data management, and enhance patient care by enabling early detection and personalized treatment plans. Additionally, AI-powered chatbots and virtual assistants improve pa

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Suresh Kumar Gundala. "Microservices Architecture: A Comprehensive Guide to Modern Distributed Systems." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 37–45. https://doi.org/10.32628/cseit251112380.

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Microservices architecture has emerged as a transformative paradigm in modern software development, enabling organizations to build resilient and scalable distributed systems. This comprehensive exploration delves into the fundamental principles, implementation strategies, and real-world applications of microservices architecture. The architectural framework facilitates independent service deployment, enhanced fault isolation, and streamlined maintenance processes while promoting technology stack flexibility. Through the implementation of sophisticated monitoring patterns, testing strategies,

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Kuznetsov, Alexander Lvovich, Alexander Viktorovich Kirichenko, Anna Aleksandrovna Radchenko, and Anton Denisovich Semenov. "Clarification of operational costs taking into account container handling system and equipment characteristics." Vestnik of Astrakhan State Technical University. Series: Economics 2024, no. 1 (2024): 91–102. http://dx.doi.org/10.24143/2073-5537-2024-1-91-102.

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A method for evaluating the performance distribution of transshipment equipment performing operations in a container terminal stack is considered. It is proved that the productivity of operations is the most significant indicator for assessing the economic efficiency of a marine or dry container terminal. Performance evaluation is carried out on the assumption that the technological task for reloading equipment is a sequence of containers with random coordinates in a stack. To complete this technological task, the reloading equipment must move from the position of the last task to the position

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Vedant Agarwal. "Architectural Challenges in Building Real-Time Data Processing Systems for Search and Recommendations." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 564–74. https://doi.org/10.32628/cseit2511112.

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This article provides an in-depth analysis of the architectural challenges and solutions involved in building real-time data processing systems for search and recommendation engines. It begins by exploring the core architectural challenges, including latency management, scalability, and data consistency, which are critical for maintaining high performance and reliability in distributed environments. The discussion then advances to technology stack implementation, highlighting essential tools and frameworks such as Apache Kafka for stream processing and modern distributed storage solutions that

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Mohd Sufiyan Qureshi, Syed Mustafa Ali, Mohammed Rayhaan, and Dr. Mohammed Abdul Bari. "Fraud Detection In Banking Data Using Machine Learning Techniques." International Journal of Information Technology and Computer Engineering 13, no. 2s (2025): 504–11. https://doi.org/10.62647/ijitce2025v13i2spp504-511.

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FraudGuard is an intelligent, real-time frauddetection system designed to enhance the security ofdigital banking by leveraging the power of machinelearning. With the rapid growth of online financialtransactions, banking systems are increasinglyvulnerable to fraudulent activities that often goundetected until after the damage is done.Traditional rule-based systems are no longersufficient, as they lack the adaptability andintelligence to respond to modern, evolving fraudpatterns. FraudGuard addresses these limitations byintroducing a robust and scalable machine learningdrivenapproach that can de

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Patil G E, Raghavendra. "Revolutionizing EdTech: Building the Future of Learning with the MERN Stack." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47229.

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Abstract- This research paper presents the development of a full-stack blog application utilizing the MERN stack, comprising MongoDB, Express.js, React.js, and Node.js. The primary objective is to design a modern, responsive, and scalable blogging platform where users can register, authenticate, and perform CRUD (Create, Read, Update, Delete) operations on blog posts. Given the increasing demand for interactive content management systems, this project demonstrates the effective use of JavaScript-based technologies to build seamless and efficient web applications across both the frontend and ba

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VICTOIRE, Dr T. AMALRAJ. "Streamify: A Real-Time Chat and Video Call Application Using the MERN Stack." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem03926.

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Abstract: Streamify is a real-time web communication platform that offers chat and video calling features, built using the MERN stack—MongoDB, Express.js, React.js, and Node.js. The application is designed to provide users with a seamless, interactive, and secure environment for both text-based and video communication. Its goal is to simulate face-to-face interaction virtually, making communication more accessible and engaging. The chat feature uses Socket.IO to enable real-time message exchange between users. This ensures that messages are instantly delivered and received without the need for

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KUMAR, A. NATHISH, and Mrs A. Nandhini. "Social Media Application Using Reactjs." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42528.

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This chapter gives an overview about the aim, objectives, background and operation environment of the system 1.1 OVERVIEW OF THE PROJECT Snapgram is a full-stack social media web application designed to provide users with an interactive platform to share posts, engage with content, and connect with others. Inspired by popular social media platforms like Instagram, Snapgram allows users to create accounts, upload images, like and comment on posts, and follow or unfollow other users. The project is built using React.js, Vite, Tailwind CSS, Node.js, Express.js, MongoDB, and Cloudinary, ensuring a

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Pande, Apeksha, Shraddha Varma, Sakshi Shinde, and Swapnil Jadhav. "Secure Real-Time Web-Based Chat Application Using MERN Stack and Google Authentication." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44037.

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–In the digital age, real-time communication has become a cornerstone for both personal and professional interaction. This research presents the design and development of a secure, web-based real-time chat application utilizing the MERN (MongoDB, Express.js, React, Node.js) stack. Unlike traditional methods requiring mobile numbers or QR codes, this application employs Google Authentication for user login, promoting ease of access and enhanced security. The system features real-time one-on-one messaging, online/offline user status, and supports multimedia message types including text, audio, a

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Serafin, Patryk. "Modern web technology – frameworks, advantages, disadvantages and optimal applications." Computer Science and Mathematical Modelling, no. 19/2024 (December 30, 2024): 25–34. https://doi.org/10.5604/01.3001.0055.0854.

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Modern web applications leverage a variety of frontend and backend technologies to deliver scalable, secure, and high-performance digital experiences. This paper examines key web development frameworks, highlighting their advantages, disadvantages, and optimal use cases. Frontend frameworks such as React, Angular, and Vue.js are analyzed in terms of interactivity, modularity, and scalability, while backend solutions like Django, Node.js, Flask, and Spring Boot are evaluated for security, performance, and data management capabilities. Additionally, the paper explores technology selection criter

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Neves, Francisco, Ricardo Vilaça, and José Pereira. "Detailed black-box monitoring of distributed systems." ACM SIGAPP Applied Computing Review 21, no. 1 (2021): 24–36. http://dx.doi.org/10.1145/3477133.3477135.

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Modern containerized distributed systems, such as big data storage and processing stacks or micro-service based applications, are inherently hard to monitor and optimize, as resource usage does not directly match hardware resources due to multiple virtualization layers. For instance, interapplication traffic is an important factor in as it directly indicates how components interact, it has not been possible to accurately monitor it in an application independent way and without severe overhead, thus putting it out of reach of cloud platforms. In this paper we present an efficient black-box moni

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RUSACHENKO, Natalia, and Pavlo KUZMENKO. "HIGH-TECH ALGORITHMS FOR VISUALIZATION OF SALT-DOME TECTONICS ON SEISMIC DATA." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 2 (105) (2024): 44–49. http://dx.doi.org/10.17721/1728-2713.105.06.

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Processing of seismic data, in the conditions of complex salt-dome tectonics of the Dnipro-Donetsk basin, requires special attention to the outline of the body of the salt shaft. The article is devoted to the analysis of methodological principles of applying high-tech seismic data processing algorithms, which have become industry standards in leading service geophysical companies, and in Ukraine are just beginning to be included in the seismic data processing workflow. The advantages of pre-stack depth migration compared to pre-stack time migration were described and one of them is absence of

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R, Dr Prema. "Revolutionizing Asset Management & MySQL Integration for Cutting-Edge Solutions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31406.

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In this we developed a system effective asset management has become paramount for optimizing resources and streamlining operations This abstract introduces an innovative Revolutionizing Asset Management & MySQL Integration for Cutting-Edge Solutions developed on the MERN (MySQL, Express, React, Node) stack, tailored to efficiently manage product data. This web-based solution offers a comprehensive approach. The system allows users to record, categorize, search and monitor a diverse range of products within an organization. Once the product is searched into the database it fetches the varia

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Agustin, Silva, Zabaleta Omar G., and Arizmendi Constancio M. "Quantum Game Theory approach for data network routing: a solution for the congestion problem." Journal of Physics: Conference Series 2207, no. 1 (2022): 012034. http://dx.doi.org/10.1088/1742-6596/2207/1/012034.

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Abstract Because of the sustained growth of information and mobile users transmitting a great amount of data packets, modern network performances are being seriously affected by congestion problems. In fact, congestion management is a challenging task that can be roughly summarized as a trade off between transmission latency and cost. In this context, a novel framework is proposed for solving the congestion problem on communication networks using a quantum game theory model, where network packets compete selfishly for the shortest route. Simulations show that final network routing and travelin

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Cigna, Francesca, and Deodato Tapete. "Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy." Remote Sensing 13, no. 5 (2021): 885. http://dx.doi.org/10.3390/rs13050885.

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The growing volume of synthetic aperture radar (SAR) imagery acquired by satellite constellations creates novel opportunities and opens new challenges for interferometric SAR (InSAR) applications to observe Earth’s surface processes and geohazards. In this paper, the Parallel Small BAseline Subset (P-SBAS) advanced InSAR processing chain running on the Geohazards Exploitation Platform (GEP) is trialed to process two unprecedentedly big stacks of Copernicus Sentinel-1 C-band SAR images acquired in 2014–2020 over a coastal study area in southern Italy, including 296 and 283 scenes in ascending a

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Gupta, Vaibhav. "CHAT-MINGLE – A Full-Stack Real-Time Chatting Application." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46148.

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Abstract—This paper presents a project-specific real-time chat application that enables secure and instant messaging using modern web technologies. The goal is to design a decentralized yet efficient chat system where users can exchange text, media, and files securely over the internet. The system incorporates end-to-end encryption to ensure data privacy, while real-time messaging is achieved using WebSockets. We detail the system architecture, methodology, and implementation of the chat app and compare our approach with existing chat applications such as WhatsApp, Signal, and Telegram. We als

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Gupta, Dr C. L. P. "PRESCRIPTO: A Modern Approach to HealthCare Scheduling." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45932.

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Abstract - In recent years, the demand for accessible and intelligent healthcare solutions has grown significantly, especially with the rise of digital health platforms. This paper presents Prescripto, a smart doctor appointment booking system enhanced with machine learning capabilities to provide preliminary disease prediction based on user-reported symptoms. Developed using the MERN (MongoDB, Express.js, React.js, Node.js) stack, the system offers a seamless interface for patients to schedule appointments with verified doctors. To further assist users in understanding their health conditions

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Yadav, Harshada. "Student Marks Evaluation Monitoring System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50426.

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Abstract: This project aims to transform traditional assessment methods in educational institutions through automation, data management, and online communication. It tackles key challenges such as delayed feedback, manual data handling, and the lack of actionable performance insights. By collecting and analysing real-time data, the system provides personalized student guidance and data-driven support for educators and administrators. It enhances evaluation and streamlines communication among stakeholders via a WhatsApp notification system, offering insights aligned with academic standards and

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Britzger, Daniel, Sergey Levonian, Stefan Schmitt, and David South. "Preservation through modernisation: The software of the H1 experiment at HERA." EPJ Web of Conferences 251 (2021): 03004. http://dx.doi.org/10.1051/epjconf/202125103004.

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The lepton–proton collisions produced at the HERA collider represent a unique high energy physics data set. A number of years after the end of collisions, the data collected by the H1 experiment, as well as the simulated events and all software needed for reconstruction, simulation and data analysis, were migrated into a preserved operational mode at DESY. A recent modernisation of the H1 software architecture has been performed, which will not only facilitate on going and future data analysis efforts with the new inclusion of modern analysis tools, but also ensure the long-term availability o

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Xu, Shaocong, Pengfei Li, Qianpu Sun, et al. "LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 9 (2025): 8951–59. https://doi.org/10.1609/aaai.v39i9.32968.

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LiDAR-based semantic scene understanding is an important module in the modern autonomous driving perception stack. However, identifying outlier points in a LiDAR point cloud is challenging as LiDAR point clouds lack semantically-rich information. While former SOTA methods adopt heuristic architectures, we revisit this problem from the perspective of Selective Classification, which introduces a selective function into the standard closed-set classification setup. Our solution is built upon the basic idea of abstaining from choosing any inlier categories but learns a point-wise abstaining penalt

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Binnig, Carsten. "Technical Perspective on 'BOSS - An Architecture for Database Kernel Composition'." ACM SIGMOD Record 54, no. 1 (2025): 36. https://doi.org/10.1145/3733620.3733628.

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Composability is becoming an important characteristic of modern database systems, enabling flexible integration of storage, processing, and acceleration components. This shift allows specialized accelerators, various specialized storage backends, and different query execution engines for CPUs and GPUS to seamlessly work together to execute aworkload. By embracing composability, database systems can better ensure adaptability in an increasingly complex data landscape rather than developing a zoo of specialized database systems — one for each workload. The VLDB 2024 paper 'BOSS - An Architecture

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Punda, S. Yu. "Storage systems for IT infrastructure." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 082–93. http://dx.doi.org/10.15407/pp2020.02-03.082.

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A review of modern data storage architectures was conducted, the advantages and disadvantages of each of them were given. The data storage systems of the IBM FlashSystem family were analyzed, as well as Spectrum Virtualize software, which is responsible for virtualization, compression, distribution and replication of data stored on the storage system. A mathematical model of the data storage system of IBM Storwize v5030E was developed. Well-known metrics are used to evaluate its performance when using spindle and solid-state drives. The effect of hardware and software data compression on syste

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Panteleymonov, I. N., A. V. Belozertsev, and А. А. Monastyrenko. "The Main Trends in Developing Highly Reliable Communication and Control Systems for Unmanned Aerial Vehicles." Proceedings of Higher Educational Institutions. Маchine Building, no. 06 (723) (June 2020): 78–88. http://dx.doi.org/10.18698/0536-1044-2020-6-78-88.

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This work examines the problem of developing a highly reliable and universal communication and control system for unmanned aerial vehicles that provides uninterrupted operation regardless of the vehicles’ location and destination. For this purpose, it is proposed to create three digital data transmission networks: ground, air and satellite using a stack of TCP/IP protocols and modern methods of management, processing and display of information (SCADA-system). To improve reliability, survivability, stealth and noise immunity of the communication and control system of unmanned aerial vehicles it

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