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58 articles for “big data”
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Impact Analysis of Big Data Prediction and Big Data Analysis in Distributed Environment
Abstract: This paper primarily focuses on “Data Prediction and Data Analysis in Distributed Environment”. Initially introduction regarding Data Prediction, Data Analysis and Distributed Environment has been discussed. Afterwards, we have accumulated case studies which prove the necessity of the concerned topic. Later, in this paper various parameters are marked down which prove to be great assets. The concern of growing data and the importance of its prediction and analysis motivated this …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 1, 2016 · pp. 40–45 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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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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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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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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Health Management System Using Researched Application of Big Data
Abstract: As everyone knows many developing as well as developed countries even poor countries healthcare demand is growing at an extensive rate. As like all other countries, healthcare in India is also facing the growing demand of medical treatment and services; as demand of healthcare and medical treatments increases, parallelly the volume of medical records increases; they must appropriately have all of the patient’s medical history. Management has to maintain proper …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 1–6 Read article
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Comparative Study of Searching Algorithms for Databases and Present New Idea For Better Searching
Abstract: Meta-heuristics encompass a very wide range of algorithms, all having very different underlying principles. But all these algorithms are stochastic in nature. Big data is an emerging field. Big data has some of its own problem, some of them being the optimization problems. This paper gives a brief glimpse of Meta-heuristics and its algorithm, big data and its corresponding fields. In the last section we also explain how these algorithms …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 2, 2016 · pp. 1–15 Read article
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Recommendation System: An Algebraic Perspective of Machine Learning with Knowledge Endorsement
Abstract: ABSTRACTLearning is continual process and machine learning is innovative approach towards information management as well as knowledge management. The endorsement of knowledge in association of big data is crucial task. The machine learning algorithm and technologies gives an insight towards better expansions and consolidation of knowledge. For optimization of knowledge recommendation system plays an important role and gives ground to produce solution. The role of recommendation system is basically one …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 30–34 Read article
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Intelligent Supply Chain using IoT
Abstract: Abstract: With the emergence of the new technologies like – Big Data, Internet of Things, Blockchain, Artificial Intelligence, the way in which business are working today are fast changing. These technologies are making a huge impact in every sector of the industries, be it a manufacturing, retail, aerospace, Oil and Gas and others. The core process of any industry like supplies, product manufacturing or selling of a product to a …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 8–19 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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Challenges and Requirements in Internet of Things
Abstract: The Internet of Things (IoT) serves as a technical tool for experts by transforming physical resources into smart entities using existing network infrastructures. Its main goal is to provide intelligent and seamless services to users without any downtime. The Internet of Things (IoT) paradigm aims to create an advanced data system by combining sensor data collecting with efficient data processing, networking, machine learning, artificial intelligence, big data, and clouds are …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 6–11 Read article
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Resilience Enhancement for Animal Breeding Programs
Abstract: Resilience is an animal's ability to be unaffected by disturbances or to quickly reverts to the condition it was in prior to the interruption. Furthermore, generic markers for response to various environmental disruptions are still to be developed, and so resilience may not yet be included within the breeding strategies. New resilience indicators based on data obtained have been implemented as a result of recent improvements in big data collection, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 8, Issue 1, 2022 · pp. 1–4 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Role of Cloud Computing in Chemistry
Abstract: Cloud computing has emerged as a transformative technology in the field of chemistry, offering unprecedented computational power, data storage, collaborative capabilities, and enhancing the performance of spectroscopic techniques. The integration of cloud-based platforms in chemical research facilitates complex molecular simulations, big data analysis, and real-time collaboration among researchers worldwide. By leveraging cloud infrastructure, chemists can perform high-throughput virtual screenings, predict molecular behaviors, and model chemical reactions with greater efficiency and …
Published in International Journal of Chemical Engineering and Processing · Vol. 10, Issue 2, 2024 · pp. 1–15 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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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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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
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STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT
Abstract: Abstract - Pune, one of India’s fastest-growing metropolitan cities, faces severe traffic congestion due to rapid urbanization, increasing vehicular density, and inadequate transport infrastructure. This research paper explores the challenges associated with traffic management in Pune and evaluates existing solutions implemented by local authorities. Through case studies of critical traffic zones such as Katraj, Nal Stop, Warje, and Hadapsar Road, we identify key congestion factors, including poor road design, improper …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 19–24 Read article