Time series analysis is needed for big data analytics since it organizes and models time-varying data. Big data analytics uses Holt-Winters, Exponential Smoothing, and ARIMA time series analysis. One can anticipate fu...
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This paper introduces a novel data collection model called ConciseNet that leverages a cutting-edge data reconstruction method to significantly enhance signal reconstruction accuracy in wireless sensor networks (WSNs)...
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The future of productive indoor farming is approaching us, and this paper investigates the synergistic merging of Internet of Things (IoT) technologies with aquaponics and hydroponics. The water-based technologies and...
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In Wireless sensor network (WSN) lifetime of sensors is a critical issue because the sensor nodes having limited power. Therefore, organization of nodes in a proper manner (clustering) becomes one of the major techniq...
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This paper introduces a framework that automates the transcription of black box audio data and the generation of aviation incident reports using AI agents. Traditionally, manual transcription of cockpit recordings is ...
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An effective method of enhancing the information available from medical photographs is the examination of textural properties. Research in this area is still being done, and applications range from the segmentation of...
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This research describes a mobile attendance system that was created with Flutter and Appwrite and includes the three crucial components of location, teacher certification, and fingerprint authentication. The solution ...
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Cardiac images play a vital role in early detection and diagnosing the heart diseases. Due to the advancement in machine learning techniques many tools are emerging for early detection of heart disease and its diagnos...
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Fertilizer recommendations are essential for farmers: smallholders’ investment is relatively significant and risky with unknown yield responses and variable fertilizer prices. We utilized four learning models: MLP, S...
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The method for event-driven stock prediction presented in this work combines machine learning, sentiment analysis, and natural language processing techniques. The main objective is to create an advanced technique that...
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