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68 articles for “Data Analytics”
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Intelligent Building Systems: A Progression of Sustainability and Efficiency through Remote Monitoring,Data Analytics, and Automation
Abstract: Abstract: Cities are confronted with never-before-seen issues pertaining to resource management, energy consumption, and environmental sustainability as global urbanization picks up speed. As a result, integrating intelligent building systems has become a game-changing way to deal with these urgent problems. The present study delves into the various components that make up intelligent building management systems, including HVAC control, computerized maintenance management system (CMMS), building management system/building automation system (BMS/BAS), data …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 1, 2024 · pp. 38–47 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Farm Management for Sustainable AI and IOT Based Agriculture
Abstract: The sector of agriculture has undergone a transformation thanks to the integration of synthetic Artificial intelligence (AI) and The Internet of Things. This has made it conceivable to move towards smart agriculture and promote the evolution of sustainable farming methods. In-depth study of the uses, approaches, difficulties, and potential applications IoT and AI in intelligent agriculture and sustainable farming is offered in this survey report. We examine the several AI …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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Software Contributions to Analytical Instruments
Abstract: Laboratory instruments used in the analysis of the sample or preparation of raw materials are crucial in research and business. Such features as accurately measured values and data coverage. The coordination between software and these instruments has changed their roles, gaining flexibility, accuracy and efficiency of work. This paper aims to outline the various roles of software in the analytical process. Instruments, describing the progress in data obtaining, analysis, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Machine Learning and Big Data in Smart Grid Renewable Energy Systems: Trends and Challenges
Abstract: This paper reviews eight research studies on smart grids and their role in mitigating greenhouse gas (GHG) emissions, which have become a critical concern worldwide. Renewable energy sources such as solar, wind, and hydro produce minimal or no greenhouse gases and, unlike fossil fuels, are abundant, sustainable, and ensure a long-term energy supply. Large volumes of data have been produced by recent technical developments and thorough historical data collection. Efficient …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Recent Advances in Analytical and Applied Chemistry: A Comprehensive Review
Abstract: Analytical and Applied Chemistry form the backbone of modern scientific progress, connecting fundamental molecular insights with real-world industrial and societal applications. Over the past decade, these fields have undergone significant transformation, driven by the need for sustainability, precision, and efficiency. This review highlights key advancements in green analytical chemistry (GAC), high-resolution mass spectrometry (HRMS), and the incorporation of nanotechnology into chemical sensing, while also examining their broader implications in applied …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–41 Read article
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Smart City Parking: Using AI, IoT, and Cloud for Real-Time Space Management
Abstract: Limited parking places and ineffective management make parking in crowded cities frequently frustrating. Congestion and time loss result from traditional parking systems' lack of real-time updates. We suggest a smart parking system that uses Firebase, a real-time database that guarantees real-time updates, to address this. A smartphone app and sophisticated sensors placed in parking spots make up our solution. Users can use the app to determine parking availability in real …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Developing Smart Farming Solutions: IoT-Based Techniques for Precision Agriculture
Abstract: A precision agricultural system is a smart farm management system that minimizes production costs while maximizing productivity and profitability through the identification, analysis, and management of field variability using information and technology. Because of the public's increased environmental consciousness, we must alter agricultural management practices to assure economic success while safeguarding natural resources like water, air, and soil quality. With the introduction of Internet of Things (IoT) technology, precision agriculture …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 30–36 Read article
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Smart Agriculture Using IoT: A Paradigm Shift in Modern Farming
Abstract: The rapid advancements on the Internet of Things (IoT) have revolutionized agriculture by integrating sensors, automation, and data analytics to enhance productivity, resource efficiency, and sustainability. With growing challenges such as climate change, population growth, and the need for efficient resource management, IoT-driven smart agriculture presents a transformative approach to modern farming. By leveraging IoT-enabled devices, farmers can gain real-time insights into soil conditions, weather patterns, crop health, and resource …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 33–37 Read article
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Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Comprehensive Review of Processes, Materials, Developments, and Challenges of Additive Manufacturing
Abstract: Abstract Additive Manufacturing (AM), or 3D printing as it is known widely, has evolved significantly from being a prototyping technology to an end-use production technique across different industrial sectors. This groundbreaking technology allows for the direct creation of intricate, user-designed, and high-performance components through sequential addition of material from digital models, which abolishes most of the design and production constraints of conventional manufacturing. Its application is underscored by its pivotal …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 6–24 Read article