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1975 articles for “font meta- data” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Using the R Software to Conduct Network Meta-Analysis on Diabetes Data” h
Abstract: A meta-analysis's goal is typically to quantify the total treatment effect and draw conclusions regarding the differences in effects between the two treatments. Meta-analysis is a quantitative method for combining the findings of several studies in the social and medical sciences.. A meta-analysis might be of three typical forms. Network-wide, pairwise, and multivariate meta-analyses are all possible. The integrated assessment of more than two treatments is generally made possible by …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 57–76 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
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Data Representation and Abstraction in Computer Systems: An Interactive Study
Abstract: Data abstraction simplifies data, while data representation stores or encodes it. Data abstraction in programming involves constructing a data type that hides data representation. This lets consumers concentrate on the data’s primary features rather than its implementation. Data abstraction is common in object-oriented programming and database administration. Computers store data in binary format. The smallest binary unit is a bit, or “binary digit”. Bytes typically have eight bits. Data abstraction …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 22–31 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Balancing Data Utility and Data Privacy using Synthetic Data for Cyber Physical Systems
Abstract: Cyber-physical systems are becoming famous and indispensable part of smart environment. As we say so, the need for preserving the trust of users is also multiplying with time. The CPS should be designed in such a way that the private and sensitive data of users in a CPS ecosystem needs to be protected without effecting the utility of data. This issue leads to a trade-off between the two aspects which …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 2, 2021 · pp. 33–36 Read article
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Advancements in Metal-Plastic Hybrid Structures: Experimental Analysis and Design Optimization of 3D-Printed Honeycomb Frameworks
Abstract: The exploration of metal-plastic hybrid structures has gained significant attention due to their potential for lightweight, high-strength applications across industries such as aerospace, automotive, and construction. This study investigates the experimental and design enhancements of a metal-plastic hybrid structure utilizing a honeycomb architecture produced through 3D printing. By integrating metals with plastic polymers in a honeycomb configuration, this hybrid approach aims to combine the high strength and stiffness of metals …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Investigating The Synergistic Effects of Micro and Nano Particle Reinforcements in Powder Metallurgy-Processed Aluminum Metal Matrix Composites for Enhanced Mechanical Performance
Abstract: The ever-growing demands of modern mechanical applications necessitate the development of materials with superior mechanical properties. In this research, we delve into the creation and evaluation of Aluminum Metal Matrix Composites (Al MMCs) made via the powder metallurgy route, reinforced with both micro and Nano-scale particles. The key aim is to investigate the possible cooperative effects of this dual reinforcement approach on the mechanical behavior of the composite. Traditional aluminum …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 220–229 Read article
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Leveraging Full Stack Data Science for Healthcare Transformation: An Exploration of the Microsoft Intelligent Data Platform
Abstract: The rapid progress of the Fourth Industrial Revolution has been largely driven by the evolution of artificial intelligence (AI), with notable contributions from technologies such as Generative Pre-trained Transformers (GPT). This revolution has seen the convergence of physical, digital, and biological technologies, leading to transformative impacts across various sectors. Data science, serving as a crucial enabler, has enabled the development of intelligent value chains. However, the application of data science …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Clinical study on dual plating for delayed unions and nonunions of distal 1/3 and diaphyseal-metaphyseal transition of humerus
Abstract: Background: The best treatment for delayed union and non-union at distal 1/3 and metaphyseal-diaphyseal transition of humerus is not well established. We collected retrospective and prospective outcomes data for patients undergoing open reduction and internal fixation for delayed union and non-union of distal 1/3 and metaphyseal-diaphyseal transition of humerus with use of conventional mono-lateral or dual plating. Methods and Material: Over a 2-year period, 35 patients underwent open reduction and …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 10–15 Read article
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A Study on Data Science Analytics: Addressing Challenges, Exploring Open Research Issues: A Literature Centric Approach
Abstract: The rapid growth of data science and analytics has revolutionized industries across the globe. This paper presents a comprehensive examination of the challenges encountered in the field of data science analytics and investigates unresolved research issues through a literature-centric approach. By analyzing recent research papers, articles, and industry reports, this study offers insights into the evolving landscape of data science and the critical challenges that data scientists face. Additionally, it …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 70–82 Read article
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Advancements In Metal-Fiber Composites for Aerospace and Defense Applications: A Comprehensive Review
Abstract: This paper provides a comprehensive review of fiber-reinforced composites, focusing specifically on the utilization of metal-fiber composites in aerospace such as metal surface preparation prior to bonding, resin selection, and detailed examination of mechanical testing and impact studies. The significance of metal surface preparation for establishing strong bonding, which is a crucial initial step in composite fabrication, is discussed. Additionally, the prevalent use of epoxy resins and their importance in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 96–108 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Gut Microbial Metabolites in Inflammatory, Metabolic, and Neurologic Disorders.
Abstract: The human gut microbiota transforms dietary and hostderived substrates into a diverse array of metabolites—including shortchain fatty acids (SCFAs), hydrogen sulfide (H₂S), bile acid derivatives, indoles, trimethylamine Noxide (TMAO), branchedchain amino acid (BCAA) derivatives, and lipopolysaccharide (LPS)—that act as key signaling mediators along epithelial, immune, endocrine, and neural axes. These metabolites regulate barrier integrity, energy homeostasis, inflammation, and gut–brain communication and are increasingly implicated in the pathogenesis of inflammatory bowel …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 58–64 Read article
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Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Plc Hmi base testing machine data loger with usb excel data export
Abstract: The PLC-HMI-based testing machine data logger is designed to acquire, process, and log real-time sensor data using a PLC analog input card. This system is developed for industrial applications requiring accurate measurement, monitoring, and data storage. The setup integrates an HMI (Human-Machine Interface) for visualization and control, while a USB-based Excel data export feature ensures efficient data management. The system incorporates four key transducers: 1. Water Flow Sensor – Measures …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 47–54 Read article
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A Study on Data Protection and Data Security Strategies in Cyber Space
Abstract: ABSTRACT “You can have security and not have privacy, but you cannot have privacy without security.” – Tim Mather Data security is the means of ensuring that data is kept safe from corruption and that access to it is suitably controlled. Thus, data security helps to ensure privacy. It also helps in protecting personal data. This study deals with the basic definition of data protection, different methods of data protection, …
Published in Current Trends in Information Technology · Vol. 2, Issue 3, 2012 · pp. 1–10 Read article
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Investigate the Implication of “Self-service Business Intelligence (SSBI)”—a Big Data Trend in Today’s Business World
Abstract: Information is a life blood of any business organization. At present, the data will generate from many sources. It is scattered and unorganized in nature. To make a date meaningful, there are various data analytics tools. The data analytics are quantitative techniques and methods that can convert an unorganized data into organized and generate the meaningful information. Through information, business professionals’ can easily scrutinize the business conditions, understand the business …
Published in Current Trends in Information Technology · Vol. 10, Issue 1, 2020 · pp. 17–22 Read article