Results 61 to 70 of about 2,906 (182)
Fault diagnosis for electro-hydraulic control system of hydraulic support based on big data
Gong-kuang zidonghua, 2018 In view of problem that manual trouble shooting method of electro-hydraulic control system of hydraulic support cannot accurately locate certain random faults or individual system faults, hardware equipment of traditional electro-hydraulic control system
ZHANG Xuemei
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Smart Wind Resource Assessment Using Big Data: Architecture, Tools, and Future Directions
International Journal of Energy Research, Volume 2026, Issue 1, 2026.As the global demand for renewable energy accelerates, wind power has emerged as a vibrant contributor to sustainable energy generation. Accurate and efficient wind resource assessment is critical for optimizing site selection, turbine performance, and overall energy output.
R. Krishnamoorthy +6 more
wiley +1 more source
Journal of Computer Networks and Communications, Volume 2026, Issue 1, 2026.Anomaly detection plays a critical role in mitigating cybersecurity threats, particularly Distributed Denial of Service (DDoS) attacks. This study evaluates the performance of tree‐based and ensemble learning models, including Decision Tree, Random Forest, and XGBoost, for classifying Snort log data, alongside the application of Isolation Forest for ...
Piyapol Suwimol +3 more
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Empirical Study of Job Scheduling Algorithms in Hadoop MapReduce
Cybernetics and Information Technologies, 2017 Several Job scheduling algorithms have been developed for Hadoop-Map Reduce model, which vary widely in design and behavior for handling different issues such as locality of data, user share fairness, and resource awareness.
Gautam Jyoti V. +3 more
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Review on Big Data & Analytics – Concepts, Philosophy, Process and Applications
Cybernetics and Information Technologies, 2017 Big Data analytics has been the main focus in all the industries today. It is not overstating that if an enterprise is not using Big Data analytics, it will be a stray and incompetent in their businesses against their Big Data enabled competitors.
Venkatram Kari, Geetha Mary A.
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Applying MapReduce to Conformance Checking
Труды Института системного программирования РАН, 2018 Process mining is a relatively new research field, offering methods of business processes analysis and improvement, which are based on studying their execution history (event logs).
I. S. Shugurov, A. A. Mitsyuk
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Advances in Distributed Computing and Artificial Intelligence JournalThe volume of data is growing at an astonishingly high speed. Traditional techniques for storing and processing data, such as relational and centralized databases, have become inefficient and time-consuming. Linked data and the Semantic Web make internet
Wria Mohammed Salih Mohammed +1 more
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Big Data: Technologies and Software Products [PDF]
Database Systems Journal, 2019 The main tendency in technology leans towards huge amounts of data to be stored, analyzed and processed, in order to obtain valuable information on various topics. Regardless the domain of interest, storing data is always a must and it must be done in an
Adriana BANUTA +2 more
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Distributed image retrieval with colour and keypoint features
Journal of Information and Telecommunication, 2019 Content-based image retrieval poses many problems to computer systems. The content of images has to be described by some feature extraction methods. As image databases are often very large, they are sometimes to complex to be processed by traditional ...
Michał Ła̧giewka +2 more
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Big data: modern approaches to storage and analysis
Труды Института системного программирования РАН, 2018 Big data challenged traditional storage and analysis systems in several new ways. In this paper we try to figure out how to overcome this challenges, why it's not possible to make it efficiently and describe three modern approaches to big data handling ...
Pavel Klemenkov, Sergey Kuznetsov
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