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Published in 2022 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2022.3196278
Abstract: Predictive modeling is a core technique used in tackling various tasks in learning analytics research, e.g., classifying educational forum posts, predicting learning performance, and identifying at-risk students. When applying a predictive model, it is often…
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Keywords:
accuracy;
class;
balancing techniques;
algorithmic bias ... See more keywords
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Published in 2019 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-019-0146-7
Abstract: Load unbalancing problem is a multi-variant, multi-constraint problem that degrades performance and efficiency of computing resources. Load balancing techniques cater the solution for load unbalancing situation for two undesirable facets- overloading and under-loading. In contempt…
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Keywords:
classification;
cloud computing;
load balancing;
balancing techniques ... See more keywords
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Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10071293
Abstract: Nowadays, healthcare is the prime need of every human being in the world, and clinical datasets play an important role in developing an intelligent healthcare system for monitoring the health of people. Mostly, the real-world…
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Keywords:
class imbalanced;
clinical datasets;
class;
imbalanced clinical ... See more keywords
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2
Published in 2022 at "Symmetry"
DOI: 10.3390/sym14122554
Abstract: The Internet of things (IoT) extends the Internet space by allowing smart things to sense and/or interact with the physical environment and communicate with other physical objects (or things) around us. In IoT, sensors, actuators,…
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Keywords:
dynamic load;
techniques iot;
iot review;
load balancing ... See more keywords