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Please find here the abstract and URL of the paper presented at FiCloud 2019 7th International Conference on Future Internet of Things and Cloud (FiCloud).
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Hello friends, in my previous articles, I told you about the issues I found important about Figma. Now I want to talk about a few plug-ins that will make your job easier when using Figma. The community section in Figma is nice and actively used. People help each other by actively sharing what they do here.
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In general, LSTM is a recurrent neural network (RNN) architecture that operates on time-ordered incoming data. Before we start analyzing LSTM networks, it is useful to understand the recurrent neural network (RNN) and how LSTM differs from the classical RNN. In a feed-forward neural network, information travels only in the forward direction, whereas in an RNN, information rotates through a loop.
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Data visualization, which is gaining importance every day with the complexity of trillions of data generated non-stop in the Big Data world, produces understandable and accessible solutions to analyze data and draw meaningful conclusions from data. The world of data visualization is a large and effective data visualization platform that provides charts, maps, graphs and graphs to find trends, outliers, missing values and trends in data.
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In my previous article, I gave information about the architecture of the LSTM network and how it works. In this article, I will explain how to create an LSTM model in practice. In addition, in this article, I will explain which parameters, which optimization algorithms are used when implementing an LSTM network.
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Digital twins, virtual representations of real-life physical objects or processes, are becoming widely used in many different industrial sectors. One of the main uses of digital twins is predictive maintenance, and these technologies are being adapted to
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In rotating machinery, bearings are widely used as universal components. Bearings are placed in critical positions, therefore, in predictive maintenance, it is crucial to diagnose bearing faults accurately and in a timely manner.
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In this study, our primary aim is to detect different formations, objects on the images taken from various underwater videos. For this purpose, machine learning models such as SVM, multi-layer ...
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Winter service operations are one of many responsibilities of local authorities essential for public safety. Consisting of snow removal and spreading de-icing material, operations require the assignment of significant resources in terms of vehicles and personnel. For that reason ...
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In this paper, the concept of Industry 4.0 has been defined by describing the process of making information technologies accessible and their intended use in the manufacturing sector.
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