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Published in 2025 at "Journal of Research on Educational Effectiveness"
DOI: 10.1080/19345747.2024.2308306
Abstract: Abstract Colleges have increasingly turned to data-science applications to improve student outcomes. One prominent application is to predict students’ risk of failing a course. In this article, we investigate whether incorporating data from learning management…
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Keywords:
better lms;
data better;
accuracy;
lms data ... See more keywords
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Published in 2019 at "Royal Society Open Science"
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…
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Keywords:
missing data;
data prediction;
performance parameters;
sand casting ... See more keywords
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Published in 2022 at "IEEE Access"
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…
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Keywords:
network;
wireless sensor;
prediction;
data prediction ... See more keywords
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Published in 2022 at "IEEE Access"
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…
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Keywords:
network;
imputation forecasting;
data prediction;
temporal omics ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3314460
Abstract: Artificial Intelligence of Things (AIoT) is an emerging paradigm that integrates artificial intelligence (AI) and Internet of Things (IoT) technologies to provide intelligent IoT solutions. The AIoT system acquires data in real time through IoT…
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Keywords:
tensor completion;
cloud edge;
data prediction;
edge ... See more keywords
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Published in 2021 at "IEEE Communications Letters"
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…
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Keywords:
wireless sensor;
data prediction;
hybrid model;
prediction ... See more keywords
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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…
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Keywords:
detection simultaneous;
simultaneous data;
prediction;
data prediction ... See more keywords
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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3486963
Abstract: Traffic data prediction is a crucial component of Intelligent Transport Systems (ITS) as it contributes significantly to real-time navigation and congestion management. However, due to incomplete deployment of sensor and instability of data transmission, the…
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Keywords:
convolution incorporated;
traffic data;
data prediction;
incorporated dimension ... See more keywords
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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3564318
Abstract: Accurate and reliable traffic speed data prediction is crucial for Transportation Cyber-Physical Systems (T-CPS), as it directly impacts real-time traffic management, safety control, and overall system efficiency. However, existing deep learning-based traffic speed data prediction…
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Keywords:
traffic speed;
traffic;
data prediction;
speed data ... See more keywords
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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…
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Keywords:
smart cities;
data prediction;
machine;
machine learning ... See more keywords