Optimization of sand casting performance parameters and missing data prediction
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DOI: 10.1098/rsos.181860
Abstract: Due to a wide range of applications, sand casting occupies an important position in modern casting practice. The main purpose of this study was to optimize the performance parameters of sand casting based on grey… read more here.
Keywords: missing data; data prediction; performance parameters; sand casting ... See more keywords
Data Prediction Based Encoder-Decoder Learning in Wireless Sensor Networks
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DOI: 10.1109/access.2022.3213671
Abstract: Wireless sensor networks are typically characterized by large network size and sensor nodes with low energy capacity and a limited bandwidth for data transmission. Over-activity of the sensor nodes will therefore cause many issues to… read more here.
Keywords: network; wireless sensor; prediction; data prediction ... See more keywords
Dynamic Graph Neural Network Learning for Temporal Omics Data Prediction
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DOI: 10.1109/access.2022.3218027
Abstract: High-throughput studies of biological systems are rapidly generating a wealth of ‘omics’-scale data. Many of these studies are temporal collecting proteomics and genomics data capturing dynamic observations. While temporal omics data are essential to unravel… read more here.
Keywords: network; imputation forecasting; data prediction; temporal omics ... See more keywords
A Hybrid Model for Data Prediction in Real-World Wireless Sensor Networks
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DOI: 10.1109/lcomm.2017.2706258
Abstract: Data prediction is proposed in wireless sensor networks (WSNs) to extend system lifetime by avoiding transmissions of redundant messages. Existing prediction-based approaches can be classified into two types. One focuses on historical data reconstruction and… read more here.
Keywords: wireless sensor; data prediction; hybrid model; prediction ... See more keywords
Hierarchical Temporal Memory-Based One-Pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2020.3037054
Abstract: A neuro-cognitive inspired architecture based on the Hierarchical Temporal Memory (HTM) is proposed for anomaly detection and simultaneous data prediction in real-time for smart grid $\mu$μPMU data. The key technical idea is that the HTM… read more here.
Keywords: detection simultaneous; simultaneous data; prediction; data prediction ... See more keywords
Hybrid Model of Machine Learning Refractory Data Prediction Based on IoT Smart Cities
Sign Up to like & getrecommendations! Published in 2022 at "Wireless Communications and Mobile Computing"
DOI: 10.1155/2022/5430622
Abstract: With the advent of the digital age in recent years, the application of artificial intelligence in urban Internet of Things (IoT) systems has become increasingly important. The concept of smart cities has gradually formed, and… read more here.
Keywords: smart cities; data prediction; machine; machine learning ... See more keywords