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Artículos de revistas sobre el tema "Real-time reporting"

Autor: Grafiati

Publicado: 27 de julio de 2024

Última modificación: 31 de julio de 2025

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1

Akila, M., M. S. R. Swetha, G. K. Rupasri, and T. SnehaPriya. "Mobile-Based Attendance Logging System Using Geo-Fencing and Real-Time Reporting." International Journal of Research Publication and Reviews 6, no. 5 (2025): 8695–99. https://doi.org/10.55248/gengpi.6.0525.1835.

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Tian, Xiaoli (Shaolee). "Does Real-Time Reporting Deter Strategic Disclosures by Management? The Impact of Real-Time Reporting and Event Controllability on Disclosure Bunching." Accounting Review 90, no. 5 (2015): 2107–39. http://dx.doi.org/10.2308/accr-51095.

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ABSTRACT The SEC is moving toward requiring real-time reporting. Proponents have predicted that disclosing a news event immediately after it arises could reduce information aggregation and disclosure bunching. But evidence from the theoretical literature suggests that the effect depends on whether managers can time the underlying required reporting event. Managers, for example, can time regular poison pill adoptions, but have limited ability to time in-play pill adoptions. Thus, I test whether real-time reporting deters disclosure bunching around the disclosures of regular and in-play poison p

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CHUNARA, RUMI, CLARK C. FREIFELD, and JOHN S. BROWNSTEIN. "New technologies for reporting real-time emergent infections." Parasitology 139, no. 14 (2012): 1843–51. http://dx.doi.org/10.1017/s0031182012000923.

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SUMMARYNovel technologies have prompted a new paradigm in disease surveillance. Advances in computation, communications and materials enable new technologies such as mobile phones and microfluidic chips. In this paper we illustrate examples of new technologies that can augment disease detection. We describe technologies harnessing the internet, mobile phones, point of care diagnostic tools and methods that facilitate detection from passively collected unstructured data. We demonstrate how these can all assist in quicker detection, investigation and response to emerging infectious events. Novel

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Hatfield, Elaine, Christine Quinn, Clifton Orme, Debra Thompson, and Marty Kurth. "Real-Time Reporting Drives the Race Toward Zero." Nursing Administration Quarterly 29, no. 1 (2005): 24–30. http://dx.doi.org/10.1097/00006216-200501000-00005.

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P, Nielsen. "Real Time Emissions Monitoring: The Foundation of a Blockchain Enabled Carbon Economy." Petroleum & Petrochemical Engineering Journal 5, no. 2 (2021): 1–4. http://dx.doi.org/10.23880/ppej-16000265.

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With 49% of the world’s GDP under net zero goals, the global community is changing in how it treats emissions and carbon releases, with shareholders, stakeholders and investors demanding transparency on current performance and strategies to reduce or offset emissions. High frequency, reliable data empowers an organisation to strategically optimise and track emissions to reach committed goals from the asset level to the board room and across direct, indirect and supply chain sources (Scope 1, 2 and 3). A carbon footprinting solution, which provides a holistic view of total greenhouse gas emissi

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Aakash, Aluwala. "Integrating AI for Real-Time User Behaviour Analysis and Reporting." Journal of Scientific and Engineering Research, 7, no. 6 (2020): 285–92. https://doi.org/10.5281/zenodo.13337988.

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This paper focuses on how AI can be applied for real-time analysis of users’ behaviour and provides a report on the same. As these tools are intended to offer information from the user data, they take privacy and autonomy away if further protection is not in place. From the streaming behavioural data, AI allows the identification of user profiles and outliers without requiring human intervention. However, excessive control also causes privacy and non-transparency concerns, pre-conceptions or prejudice, and automatic decision-making. The secondary qualitative data is used to acquire the r

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Srividhya, R., Suma Nair, Lakshimi N. Aishwariya, Rajnikant Kushwaha, and Sayantan Bhattacharjee. "Interactive Internet of Things for real time crime reporting." Journal of Physics: Conference Series 1916, no. 1 (2021): 012134. http://dx.doi.org/10.1088/1742-6596/1916/1/012134.

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Jagannath, Badrinath, Madhavi Pali, Kai-chun Lin, et al. "REAL-TIME CONTINUOUS REPORTING OF IBD BIOMARKERS IN SWEAT." Gastroenterology 162, no. 3 (2022): S21. http://dx.doi.org/10.1053/j.gastro.2021.12.047.

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Jagannath, Badrinath, Madhavi Pali, Kai-chun Lin, et al. "REAL-TIME CONTINUOUS REPORTING OF IBD BIOMARKERS IN SWEAT." Inflammatory Bowel Diseases 28, Supplement_1 (2022): S21. http://dx.doi.org/10.1093/ibd/izac015.031.

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Abstract INTRODUCTION Calprotectin and C-reactive protein (CRP) are key biomarkers to assess a flare-up and inflammation in IBD patients. Flare-ups in IBD patients can create excruciating pain, discomfort, and occur in a random way. Therefore, continuous monitoring of these biomarkers in real-time can aid in providing active feedback and decision support on the health state for better IBD patient management. This work demonstrates a novel way of empowering IBD patients with actionable data through capturing temporal profiles of IBD markers (Calprotectin and CRP) from sweat for patient-driven o

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Frissell, N. A., E. S. Miller, S. R. Kaeppler, et al. "Ionospheric Sounding Using Real-Time Amateur Radio Reporting Networks." Space Weather 12, no. 12 (2014): 651–56. http://dx.doi.org/10.1002/2014sw001132.

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Praveen, Kumar Koppanati. "Leveraging AI-Powered Chatbots for Real-Time Test Monitoring and Reporting." European Journal of Advances in Engineering and Technology 11, no. 9 (2024): 117–23. https://doi.org/10.5281/zenodo.14044971.

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Artificial Intelligence (AI)-powered chatbots have gained substantial prominence in software testing environments due to their potential for automating real-time test monitoring and reporting. These chatbots are designed to manage various test phases, from setup and execution to error reporting and logging. This paper explores the evolution of AI-powered chatbots in real-time test monitoring and reporting, focusing on methodologies, system architectures, case studies, and their integration with Continuous Integration/Continuous Delivery (CI/CD) pipelines. We critically examine various chatbot

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Enugala, Vinod Kumar. "Carbon Dashboard for Real-Time Embodied Emissions Tracking." American Journal of Interdisciplinary Innovations and Research 07, no. 07 (2025): 44–65. https://doi.org/10.37547/tajiir/volume07issue07-05.

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A large proportion of the worldwide emissions caused by greenhouse gases is attributed to the construction sector and the manufacturing industry, with much of it related to embodied carbon or emissions associated with the extraction of materials, their production, transportation, and assembly. This paper involves the conceptualization and validation of a real-time carbon dashboard meant to monitor embodied emissions in supply chains and project stages. The dashboard is designed to provide dynamic monitoring, predictive analysis, and forecasting of emissions, integrating technologies from the I

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13

SanthoshBaboo, S., and J. Prabhu. "Designing Real Time Business Intelligence Reporting for Better Business Insights." International Journal of Computer Applications 76, no. 14 (2013): 12–16. http://dx.doi.org/10.5120/13314-0762.

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14

Kaur, Ratinder, and Maninder Singh. "Hybrid Real-time Zero-day Malware Analysis and Reporting System." International Journal of Information Technology and Computer Science 8, no. 4 (2016): 63–73. http://dx.doi.org/10.5815/ijitcs.2016.04.08.

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Stevens, Kathleen R., and Robert L. Ferrer. "Real-Time Reporting of Small Operational Failures in Nursing Care." Nursing Research and Practice 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/8416158.

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Addressing microsystem problems from the frontline holds promise for quality enhancement. Frontline providers are urged to apply quality improvement; yet no systematic approach to problem detection has been tested. This study investigated a self-report approach to detecting operational failures encountered during patient care.Methods. Data were collected from 5 medical-surgical units over 4 weeks. Unit staff documented operational failures on a small distinctive Pocket Card. Frequency distributions for the operational failures in each category were calculated for each hospital overall and disa

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Trigo, António, Fernando Belfo, and Raquel Pérez Estébanez. "Accounting Information Systems: The Challenge of the Real-time Reporting." Procedia Technology 16 (2014): 118–27. http://dx.doi.org/10.1016/j.protcy.2014.10.075.

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17

Klein, Molly E., Joseph W. Rudolf, Maryna Tarbunova, Tanya Jorden, Susanna R. Clark, and Mahmoud A. Khalifa. "Real-Time Intraoperative Consultation Reporting in the Electronic Health Record." American Journal of Clinical Pathology 154, no. 3 (2020): 387–93. http://dx.doi.org/10.1093/ajcp/aqaa050.

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Abstract Objectives We sought to make pathologists’ intraoperative consultation (IOC) results immediately available to the surgical team, other clinicians, and laboratory medicine colleagues to improve communication and decrease postanalytic errors. Methods We created an IOC report in our stand-alone laboratory information system that could be signed out prior to, and independent of, the final report, and transfer immediately to the electronic health record (EHR) as a preliminary diagnosis. We evaluated two metrics: preliminary (IOC) result review in the EHR by clinicians and postanalytic erro

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Bake, Jane, and Marie Cooper. "P151 Real time reporting pilot in end of life care." BMJ Supportive & Palliative Care 3, Suppl 1 (2013): A63.2—A63. http://dx.doi.org/10.1136/bmjspcare-2013-000591.173.

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19

P.Dineshkumar, Barathwaj K, Ganesh Kumar H, Charan MJ, and T.Kirubadevi. "REAL TIME ACCIDENT DETECTION AND REPORTING SYSTEM USING CNN ALGORITHM." International Journal of Engineering Research and Sustainable Technologies (IJERST) 2, no. 2 (2024): 37–45. https://doi.org/10.63458/ijerst.v2i2.82.

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In order to identify patterns for decision-making, deep learning, a branch of artificial intelligence, imitates how the human brain processes data. Within machine learning, it utilizes networks that discern and categorize patterns from unstructured or untagged data. Referred to as deep neural learning, Convolutional Neural Networks (ConvNets or CNNs) shine in image recognition tasks, adept at identifying faces, objects, and traffic signs. Their prowess extends to robotics, enhancing vision for self-driving cars. Despite widespread awareness of driving regulations, a substantial number globally

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20

Sugimachi, Mitsuhiko, Seiji Kawasaki, Fumio Nagumo, and Jutaro Tadano. "Cellular Telephone-Aided Real-Time Reporting System for Emergency Laboratory Test Results." JALA: Journal of the Association for Laboratory Automation 7, no. 4 (2002): 75–80. http://dx.doi.org/10.1016/s1535-5535-04-00211-4.

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The authors established a system for real-time reporting of clinical laboratory test results utilizing the mailing function of a cellular telephone service. The reporting system is composed of systems for sample transportation and automatic analysis, verification of test results, and reporting of test results. The introduction of the system has completely eliminated time delays at all stages of the laboratory testing process from start of testing to reporting of the test result. This has enabled doctors to receive test results in a timely manner wherever they are and to respond promptly to the

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J, NOORAHAMED. "Real-Time Cyber Incident Tracker." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem41990.

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Cyber threats are becoming more frequent and complicated, putting people and businesses at serious danger all around the world. It is difficult for traditional security monitoring systems to offer real-time insights into new dangers. In order to depict worldwide cyber occurrences, this project suggests a Real-Time Cyber Incident Tracker that makes use of the MERN (MongoDB, Express.js, React.js, Node.js) stack, Leaflet.js, Socket.io, and external Threat Intelligence APIs. The system retrieves, analyzes, and presents real-time cyberattack data on an interactive global map. Through interactive ch

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22

Belfo, Fernando, António Trigo, and Raquel Pérez Estébanez. "Impact of ICT Innovative Momentum on Real-Time Accounting." Business Systems Research Journal 6, no. 2 (2015): 1–17. http://dx.doi.org/10.1515/bsrj-2015-0007.

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Abstract Background: Enterprises are entering into the era of the real-time economy, also called the “now economy”, which can be characterized by a substantive acceleration of business measurement, assessment and decision processes. The real-time reporting, as a phenomenon of the now economy, presents a new challenge to the Accounting Information Systems. The current long wave of prosperity is characterized by an innovative momentum of ICT, with several disruptive innovations, far from being completely utilized. Objectives: Possible future potentialities and consequences of this innovative mom

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23

Vennamaneni, Pradeep Rao. "Real-Time Financial Data Processing Using Apache Spark and Kafka." International journal of data science and machine learning 05, no. 01 (2025): 137–69. https://doi.org/10.55640/ijdsml-05-01-16.

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The financial services industry is transforming batch processing to real-time, AI-driven architectures. This article looks at how the frameworks Apache Kafka and Apache Spark are used as bases for building scalable and low-latency, fault-tolerant data pipelines, meeting the special requirements of the financial sector. These real-time applications include high-frequency trading, fraud detection, compliance monitoring, and customer engagement. They are made possible through these open-source platforms that publicly ingest, process, and make decisions. Integrating cloud-native infrastructure—usi

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24

Priyanka, Prajapati, K. Sreekala Dr., and Sultana Ms.N.Musrat. "RetailSphere: Real-Time Retail House Management Software." Journal of Network Security and Data Mining 7, no. 3 (2024): 20–30. https://doi.org/10.5281/zenodo.12526844.

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<em>This abstract introduces a Rental House Management System, designed to streamline the process of managing rental properties for landlords and property managers. The system aims to automate various tasks involved in property management, enhancing efficiency, accuracy, and overall tenant satisfaction. </em><em>The Rental House Management System offers a comprehensive suite of features including property listing management, tenant management, rent collection, maintenance tracking, and financial reporting. Landlords and property managers can easily add new properties to the system, upload prop

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25

Uphoff, Helmut, Irena Groniewicz, Marc Soriano, and Isabel Burckhardt-Batista. "A Surveillance System for the Real-Time Reporting of Influenza Activity." Disease Management & Health Outcomes 12, no. 3 (2004): 197–206. http://dx.doi.org/10.2165/00115677-200412030-00006.

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Nanwin, Domaka Nuka, Williams, and Daniel Ofor. "Development of a real-time web-based employee abuse reporting system." ACADEMICIA: An International Multidisciplinary Research Journal 10, no. 10 (2020): 950. http://dx.doi.org/10.5958/2249-7137.2020.01226.4.

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27

Wu, Yih-Min, Nai-chi Hsiao, Ta-Liang Teng, and Tzay-Chyn Shin. "Near Real-Time Seismic Damage Assessment of the Rapid Reporting System." Terrestrial, Atmospheric and Oceanic Sciences 13, no. 3 (2002): 313. http://dx.doi.org/10.3319/tao.2002.13.3.313(cce).

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28

Unimke Aaron, Achi, Umar Zayyanu, and Francis S. Bakpo. "REAL-TIME PETROL AVAILABILITY REPORTING SYSTEM (RPARS) FOR NSUKKA TOWN, NIGERIA." Computer Science & IT Research Journal 3, no. 1 (2022): 23–35. http://dx.doi.org/10.51594/csitrj.v3i1.294.

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As the number of vehicle owners grows continually, the challenge of searching for petrol availability increases, as not all petrol stations may have petrol available at all times. This is owed to the fact that petrol as a commodity remains relatively scarce. Therefore, this project aims to provide a platform for reporting in real-time petrol availability in Nsukka town. Hence, vehicle owners and public transporters need not waste more petrol and time searching for filling stations with petrol availability. A mobile application is developed to capture relevant real-time information about petrol

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Wang, Yuqing, Jiawei Yu, Zhe Wang, et al. "Real-time near-infrared fluorescence reporting the azoreductase-triggered drug release." Polymer Chemistry 11, no. 3 (2020): 734–43. http://dx.doi.org/10.1039/c9py01365b.

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Herein, real-time near-infrared fluorescence reporting drug release was demonstrated by the azoreductase-induced cleavage of azo bonds and the subsequent disassembly of aggregates, which caused an enhancement in fluorescence intensity.

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Fuller, S., P. Collier, and J. Seager. "Assessing and reporting real‐time data quality for GNSS reference stations." Journal of Spatial Science 53, no. 2 (2008): 149–59. http://dx.doi.org/10.1080/14498596.2008.9635155.

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Husain, Nadia, Kendall J. Bein, Timothy C. Green, Anne-Sophie Veillard, and Michael M. Dinh. "Real time shift reporting by emergency physicians predicts overall ED performance." Emergency Medicine Journal 32, no. 2 (2013): 130–33. http://dx.doi.org/10.1136/emermed-2013-203051.

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32

Wyse, Donald D., and Saahil Malik. "Audit Contract Provisions and Real-Time Cost Reporting in Construction Contracting." Journal of Professional Issues in Engineering Education and Practice 131, no. 4 (2005): 297–300. http://dx.doi.org/10.1061/(asce)1052-3928(2005)131:4(297).

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Bosch, Ronald J., Casey Pierce, John Spritzler, et al. "A reporting tool for real-time assessment of study data availability." Clinical Trials: Journal of the Society for Clinical Trials 1, no. 3 (2004): 339–40. http://dx.doi.org/10.1191/1740774504cn028xx.

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34

Call, Terri, Andrew D. Pucker, Gerald McGwin Jr, Quentin X. Franklin, and Amy Logan. "Real-Time Ocular Comfort Reporting in Monthly Replacement Contact Lens Wearers." Clinical Optometry Volume 15 (May 2023): 97–103. http://dx.doi.org/10.2147/opto.s403319.

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35

Solanki, Amrish. "Harnessing Cloud Computing for Real-Time Mortgage Data Analytics and Reporting." International Journal of Computer Trends and Technology 72, no. 5 (2024): 198–203. http://dx.doi.org/10.14445/22312803/ijctt-v72i5p124.

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V, Aravindhaa. "RFID Enabled Attendance Monitoring with Real Time Data Logging and Reporting." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem46633.

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Abstract – Traditional attendance tracking system are less efficient and time consuming, with high chances of human error. While alternative biometric methods are concerned over hygiene issues and performance limitations. This paper introduces a novel RFID-based attendance monitoring system that addresses these challenges through a combination of passive RFID technology and centralized data management. The solution proposed in this research uses individual RFID tags to users, enabling contactless, instantaneous attendance verification through strategically placed RFID readers within the enviro

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Navale, Dr Mahesh. "RescueNow: Real-time SOS and Predictive Women's Safety System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem38086.

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This paper presents a comprehensive women’s safety application designed to address the growing concerns of personal safety through technological intervention. The system integrates multiple advanced features such as real-time SOS alerts, geofencing to detect high-risk areas, AI-driven crime predictions, and multiple SOS activation methods, including voice commands, shake detection, and button press. Additionally, the app employs silent recording functionality to gather evidence in distress situations and incorporates secure communication channels for contacting law enforcement. The application

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Lagogiannis, George, Nikos Lorentzos, and Alexander Sideridis. "Indexing moving objects: A real time approach." Computer Science and Information Systems 10, no. 1 (2013): 173–95. http://dx.doi.org/10.2298/csis111127040l.

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Indexing moving objects usually involves a great amount of updates, caused by objects reporting their current position. In order to keep the present and past positions of the objects in secondary memory, each update introduces an I/O and this process is sometimes creating a bottleneck. In this paper we deal with the problem of minimizing the number of I/Os in such a way that queries concerning the present and past positions of the objects can be answered efficiently. In particular we propose two new approaches that achieve an asymptotically optimal number of I/Os for performing the necessary u

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Murthy, M. Sreerama, R. P. Ram Kumar, Billa Saikiran, Islavath Nagaraj, and Tejesh Annavarapu. "Real Time Weather Monitoring System using IoT." E3S Web of Conferences 391 (2023): 01142. http://dx.doi.org/10.1051/e3sconf/202339101142.

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The proposed project aims to use IoT technology to build a weather monitoring and reporting system which has the potential to improve the accuracy and reliability of weather data. Weather monitoring systems can collect real-time data on various weather conditions, such as temperature and humidity, using sensors and other IoT devices. This data can then be analysed and used to generate accurate and timely weather reports, which individuals and organizations can use for various purposes, such as agriculture, aviation, and disaster management. The aim of real-time weather monitoring using IoT is

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Zhang, Yanfeng, Qian Yin, Jonathan Yen, et al. "Non-invasive, real-time reporting drug release in vitro and in vivo." Chemical Communications 51, no. 32 (2015): 6948–51. http://dx.doi.org/10.1039/c4cc09920f.

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Zhu, Changlei, and John C. Lukesh. "Self-Reporting H2S Donors: Integrating H2S Release with Real-Time Fluorescence Detection." Chemistry 7, no. 4 (2025): 116. https://doi.org/10.3390/chemistry7040116.

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Hydrogen sulfide (H2S), once regarded solely as a highly toxic gas, is now recognized as a crucial signaling molecule in plants, bacteria, and mammals. In humans, H2S signaling plays a role in numerous physiological and pathological processes, including vasodilation, neuromodulation, and cytoprotection. To exploit its biological functions and therapeutic potential, a wide range of H2S-releasing compounds, known as H2S donors, have been developed. These donors are designed to release H2S under physiological conditions in a controlled manner. Among them, self-reporting H2S donors are seen as a p

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S. Hariprasath, A. Harihara Sudhan, S. Keerthi Vasagan, and P. Roy Sudha Reetha. "Surveil Guard: Intelligent Surveillance - Detecting, Reporting, and Alerting." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 12 (2024): 2821–27. https://doi.org/10.47392/irjaeh.2024.0390.

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As security challenges evolve, traditional surveillance systems often fall short in effectively identifying and responding to real-time threats. This paper introduces SurveilGuard, a novel, AI-powered surveillance framework designed to autonomously detect, report, and respond to abnormal activities such as fighting, smoking, hugging, and other predefined behaviors in real time. Leveraging motion-triggered camera activation via the ESP32-CAM and powerful anomaly detection models like YOLO for activity recognition, SurveilGuard offers a seamless integration of video capture, behavior analysis, a

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PAVAN KUMAR REDDY, ALURU. "Dashboard Real-Time Monitoring of Construction Projects." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47451.

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Abstract: The complexity of managing large-scale construction projects necessitates efficient real-time monitoring systems to ensure timely completion, cost control, and streamlined resource management. Traditional monitoring methods often rely on manual data collection, periodic updates, and fragmented communication, leading to inefficiencies and delays. This research presents a software-based real-time dashboard that enables automated tracking, visualization, and management of construction projects using modern web technologies and data analytics. The proposed system is developed using Next.

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Bora, Irfan, Huijue Kelly Duan, Miklos A. Vasarhelyi, Chanyuan (Abigail) Zhang, and Jun Dai. "The Transformation of Government Accountability and Reporting." Journal of Emerging Technologies in Accounting 18, no. 2 (2021): 1–21. http://dx.doi.org/10.2308/jeta-10780.

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ABSTRACT This paper advocates for a drastic transformation of government accountability and reporting. With the availability of Big Data and the advancement of technologies, the existing government reporting schema fails to meet the public's increasing demand for accountability. We discuss the need for the government to reform its reporting schema and prescribe potential paths toward a data-driven, analytics-based, real-time, and proactive reporting paradigm. We conceptualize an app-based continuous monitoring and reporting environment that is real-time, structured, future-oriented, and that i

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Musawarman, Mr, Halimil Fathi, and Ricak Agus Setiawan. "Real-Time Smart System for Complaint Information System in Campus: Code of Conduct and Infrastructure." Journal of Information Technology and Its Utilization 7, no. 1 (2024): 19–25. http://dx.doi.org/10.56873/jitu.7.1.5151.

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In today's competitive business environment, maintaining high levels of customer satisfaction is crucial for the success of any organization. To effectively address customer complaints and concerns, businesses are increasingly relying on digital solutions such as complaint reporting systems. This paper presents the development of an online complaint reporting system designed to streamline the process of receiving, managing, and resolving customer complaints. The system incorporates features such as user-friendly interfaces, secure data storage, automated notifications, and real-time reporting

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Medina, Catalina M., Julia A. Palacios, and Volodymyr M. Minin. "Accounting for reporting delays in real-time phylodynamic analyses with preferential sampling." PLOS Computational Biology 21, no. 5 (2025): e1012970. https://doi.org/10.1371/journal.pcbi.1012970.

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The COVID-19 pandemic demonstrated that fast and accurate analysis of continually collected infectious disease surveillance data is crucial for situational awareness and policy making. Coalescent-based phylodynamic analysis can use genetic sequences of a pathogen to estimate changes in its effective population size, a measure of genetic diversity. These changes in effective population size can be connected to the changes in the number of infections in the population of interest under certain conditions. Phylodynamics is an important set of tools because its methods are often resilient to the a

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Aqeel, Salim Mohammed, Saeed Mirdan Aws, and Hussien Abdullah Nawfal. "The role of real time reporting to limiting the creative accounting practice." Russian Journal of Innovation Economics 10, no. 4 (2020): 2347–58. http://dx.doi.org/10.18334/vinec.10.4.111149.

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Lefever, S., J. Hellemans, F. Pattyn, et al. "RDML: structured language and reporting guidelines for real-time quantitative PCR data." Nucleic Acids Research 37, no. 7 (2009): 2065–69. http://dx.doi.org/10.1093/nar/gkp056.

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Oluwatoyin, Jolaosho Ahmed, and Solomon Akinola. "Real Time Credit Card Fraud Detection and Reporting System Using Machine Learning." European Journal of Computer Science and Information Technology 12, no. 4 (2024): 36–56. http://dx.doi.org/10.37745/ejcsit.2013/vol12n43656.

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This study addresses the critical issue of real-time credit card fraud detection using machine learning. The primary goal is to develop a model that promptly identifies fraudulent transactions and alerts users. Two algorithms—Random Forest and Decision Tree Classifier were used, alongside various sampling techniques to balance the dataset and enhance performance. Six models were created, each with different accuracy levels in fraud detection. Key findings include a higher incidence of fraud among individuals over 75 years, likely due to less familiarity with modern transaction methods. Additio

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Rapolu, Upesh Kumar. "Integrating SAP ERP with Microsoft Azure for Real-Time Analytics and Reporting." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–7. https://doi.org/10.55041/ijsrem28963.

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The following research project has signified integrating SAP ERP with Microsoft Azure to observe real-time analytics and reporting. It has served to be fruitful in providing productive solutions for the enhancement of data quality with accessibility and scalability. The combination of Azure Data Factory with Azure Synapse Analytics and Power BI has advanced the process of analytics and visualisation. It has mitigated the challenges faced by traditional analytics such as scalability, performance, advanced tools and integrating with modern technologies. Furthermore, the importance of data securi

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