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Value Stream Analysis
Value stream analysis is a methodology for representing the current state of an entire value creation process in a drawing and constitutes an...
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Parallel computation of stream surfaces on GPUs
Stream surfaces can reveal complex flow behaviors that are not available on streamlines, but their construction algorithm is also more sophisticated....
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Scalable concept drift adaptation for stream data mining
Stream data mining aims to handle the continuous and ongoing generation of data flows (e.g. weather, stock and traffic data), which often encounters...
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Auditory-Stream Formation
Chapter 4 ended with the remark that the formation of an auditory unit can be strongly affected by sound...
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Probabilistic algebraic attack on plantlet lightweight stream cipher
Plantlet is a new variant of Sprout lightweight stream cipher. It uses 61 bit LFSR and 40 bit NFSR. This paper presents a study of Plantlet stream...
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IoT Data Stream Handling, Analysis, Communication and Security Issues: A Systematic Survey
Massive data management or data stream handling has become a prominent study topic as a result of recent breakthroughs in the Internet of Things...
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Adaptive Trajectory Data Stream Clustering
Trajectory data mining is a field that focuses on analyzing and extracting insights from the movement patterns of objects over time. The realm of...
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Overview of the Stream Theory-Based Big Data in Livestream
The big data in livestream (BDL) are existing at various forms everywhere in the world. Based on these facts, we find that not yet mathematical...
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LSTM-Based Cryptanalysis of Stream Cipher Espresso
The prediction of encryption keys in cryptographic systems poses a significant security threat. In this study, we investigate the feasibility of...
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Morphological Dune Map** in Shallow Alluvial Stream Using UAV-based Hyperspectral Images
Characterizing morphological features in shallow streams such as dunes and ripples is vital to studies on fluvial geomorphology and in-stream habitat...
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Two-Stream Auto-Encoder Network for Unsupervised Skeleton-Based Action Recognition
Representation learning from unlabeled skeleton data is a challenging task. Prior unsupervised learning algorithms mainly rely on the modeling...
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DCC-128: a hardware-oriented lightweight chaotic stream cipher
With the rapid development of the Internet of Things (IoT), IoT applications face more and more security threats. However, IoT devices are...
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2D Hydrodynamic Model for Flood Analysis in Kinikli Stream Basin (Tekirdağ, Türkiye)
Flood is one of the natural disasters occurring due to excessive rainfall and inappropriate stream arrangements. It is important to prepare flood...
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Source quantitative identification and control for preferential contaminants in stream sediments from an abandoned lead/zinc mine
Sediment is an important sink for metals within mining environments. This study employs a combination of positive matrix factorization (PMF), random...
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Intelligent computing for WPT–MEC-aided multi-source data stream
Due to its low latency and energy consumption, edge computing technology is essential in processing multi-source data streams from intelligent...
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Application of Machine Learning–ANN in Predicting the Pollution Index of Sanganur Stream in Coimbatore City, Tamil Nadu, India
Coimbatore has diverse industrial presence mostly small scale industries ranging from textile unit, casting industries and Electroplating industries....
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Intelligent resource allocation scheme for cloud-edge-end framework aided multi-source data stream
To support multi-source data stream generated from Internet of Things devices, edge computing emerges as a promising computing pattern with low...
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Green Aspects on Value Stream Map**
The use of LeanLean methodology today has expanded from the industrial sector to other very diverse sectors. A key tool for optimizing processes is...
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SKDStream: a dynamic clustering algorithm on time-decaying data stream
Data stream is a type of data that continue to grow over time. For example, network security data stream will constantly be generated in the field of...
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Balancing Plug-In for Stream-Based Classification
The latest technological advances drive the emergence of countless real-time data streams fed by users, sensors, and devices. These data sources can...