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621 articles for “Data analytics”
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Enhancing Cybercrime Detection Through Big Data Analytics: A Conceptual Framework
Abstract: The growing complexity of cybercrime reduction and prevention difficulties necessitates a different approach to dealing with the massive amounts of data involved. The issues of reducing and preventing cybercrime are becoming more complex as cybercrime becomes ingrained in our daily lives. When it comes to showcasing the original division of criminal activities, traditional police operations typically fall short, which means they contribute less to the right deployment of police resources. …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 1–11 Read article
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TensorFlow-Based Big Data Analytics for IoT Networks: A Study
Abstract: Internet of Things (IoT) has exploded in recent years, connecting billions of devices generating massive amounts of data. This deluge presents both a significant opportunity and a considerable challenge. While the potential insights hidden within this data are transformative, customary data processing techniques frequently fall short when handled with the velocity, volume, and variety of IoT-generated data. This is where Big Data technologies step in, offering the tools and infrastructure …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 31–38 Read article
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Revolutionizing Low Carbon Concrete: Innovations at the Nexus of Computational Science, Data Analytics, and Sustainable Technologies
Abstract: Concrete production accounts for 7% of global CO2 emissions necessitating low carbon innovations to curb exponential demand threatening climate commitments. This research reviews sustainable construction literature integrating computational simulations, big data infrastructure monitoring and alternative process redesign. Analysis reveals 30-50% reductions achievable through combined use of industrial ecologies, smarter sensing coordinated with ML optimization and novel binders like alkali-activated geopolymers. Rigorous LCA quantification verifies environmental superiority over conventional formulations. Case …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 16–23 Read article
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Synergistic Integration of MEMS and Spintronics for Precision Data Analytics in Cheminformatics
Abstract: The transformational potential of merging spintronics and Micro-Electromechanical Systems (MEMS) technologies in cheminformatics is investigated in this work. Recent advancements in MEMS, particularly through the use of microbeam sensors and accelerometers, enhance the precision of data collection and processing, especially in biomedical applications such as drug delivery systems and chemical sensing. The synchronization of oscillations in MEMS devices leads to improved reliability and data accuracy, enabling the development of sophisticated …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 20–26 Read article
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Some Creep-Rupture Data Analytics as Applied to AISI 310S Superalloy Austenitic Stainless Steel Sheets at Elevated Temperatures and High Applied Stresses
Abstract: Creep-rupture of AISI 301S stainless steel is analyzed at 973-1073K and 40-150MPa. Various creep curves and creep rate curves are compared to understand the effect of temperature and applied load. Creep deformation and creep fracture mechanisms are manipulated from concerned mechanism maps. Creep deformation follows high temperature climb. Creep activation energy so obtained is 345KJ/mol. It is larger than activation energy for self-diffusion in pure FCC iron (that is 270-311kJ/mol). …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 2, 2019 · pp. 54–58 Read article
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Transforming Healthcare Through Big Data: Applications, Challenges, and Future Perspectives
Abstract: Healthcare institutions produce substantial amounts of information through electronic health records, laboratory systems, medical imaging technologies, patient monitoring devices, and various digital healthcare platforms. Managing and interpreting these continuously growing datasets through conventional approaches can be difficult and time-consuming. Big Data technologies offer advanced methods for storing, processing, and analyzing healthcare information efficiently, enabling healthcare professionals to obtain valuable insights for clinical and administrative purposes. This review explores the growing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Intelligent Big Data Processing: Optimizing Analytics Pipelines Through Ensemble Machine Learning, Distributed Computing, and Adaptive AI Architectures
Abstract: Traditional data analytics methods are facing significant challenges due to the explosive rise of digital data. Global data generation is expected to reach nearly 175 zettabytes by 2025. This puts significant pressure on existing computing infrastructure. Conventional analytics methods often struggle with scalability, processing speed, and smart decision-making. Rule-based systems and standalone machine learning models frequently cannot handle the complexity and scale of modern big data environments effectively. To tackle …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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Redefining Efficiency: Big Data Science in Supply Chain Design and Management
Abstract: The combination of resources, tools, and applications in the field of supply chain management (SCM) is rapidly expanding, creating both opportunities and challenges. The term "big data" is commonly used to refer to the large and complex sets of data that are now available. These data are believed to have the potential to improve decision making and increase profitability. To effectively analyze and utilize these data, new methods of data …
Published in Journal of Production Research & Management · Vol. 13, Issue 1, 2023 · pp. 6–10 Read article
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Emerging Technologies Big Data and Cloud
Abstract: Cloud computing is a effective and rising generation to carry out large and complicated computing. It affords a such an surroundings that's reliable & fault tolerant to haven massive information disbursed control systems. Big statistics refers back to the incapacity of vintage statistics architectures to address new statistics units efficiently. In the current times, exceptional boom has been determined in massive statistics domain, generated thru cloud computing. Big statistics remedy …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 16–22 Read article
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Exploring the Landscape of Big Data: Impact, Tools, Challenges, and Opportunities
Abstract: This study explores the constantly changing field of big data, not merely as a repository of enormous amounts of information, but also as a force that is reshaping our world. It sheds light on the ways in which big data stimulates creativity and drives change in a variety of sectors, including urban planning, finance, healthcare, and environmental sustainability. Through the investigation of state-of-the-art analytics, distributed computing, and data visualization tools, …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 1–4 Read article
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RFID Based IoT Attendance System
Abstract: The RFID-based IoT attendance system is designed to streamline the attendance process in organizations by leveraging Radio Frequency Identification (RFID) technology. The system comprises an RFID reader, RFID tags, a buzzer, a microcontroller, and a server (Google Sheet). To use the system, each employee is assigned an RFID tag that they use to log in and out of work. When an employee swipes their tag, the RFID reader scans it …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 3, 2022 · pp. 16–21 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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A Review on Big Data
Abstract: AbstractThe goal of Big Data is to help organizations make better business decisions based on information by enabling researchers, data scientists and other analytics professionals to analyze large volumes of operational data, as well as other forms of data that may not be discovered by conventional Business Intelligence (BI) programs. This gives rise to the need for an analytical review of recent developments in the big data technology. Cloud services …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 1–7 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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WEBPAGE EXTRACTION AND RETRIEVAL CHATBOT
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Real-Time Ocean Monitoring and Early Warning Systems with IoT Technology
Abstract: The increasing frequency of extreme weather events, rising sea levels, and threats to marine biodiversity This paper explores the application of IoT in enhancing real-time ocean monitoring and early warning systems, focusing on the deployment of smart sensors, connected buoys, and data analytics to collect key parameters such as temperature, salinity, pH, and wave activity. To preserve and responsibly utilise the seas, oceans, and marine resources in support of sustainable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 13–24 Read article
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Accelerating Database Application Development with JsonPowerDB: A Case Study of Student Enrollment Web Form
Abstract: This paper presents the utilization of JsonPowerDB, a developer-friendly database server with REST API services, in the context of a student enrollment web form. JsonPowerDB offers high performance, lightweight, Ajax-enabled, and serverless features, making it a powerful real-time database for dynamic websites, mobile apps, and data analytics portals. The web form was developed using frontend technologies such as HTML, CSS, JavaScript, and Bootstrap, while JsonPowerDB served as the backend for …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 8–27 Read article
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Survey on Web Analytics
Abstract: AbstractWeb analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. However, Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a website. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 20–24 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