machinelearning, Deep learning and cyber security have an enormous multidisciplinary convergence. Recent advances in deep learning have indicated a tremendous increase in cyber security and intrusion detection. Throu...
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Predictive analytics by combining ensemble learning and deep learning techniques. The first step normalizes the feature space with MinMaxScaler, which improves the performance of the algorithms. To tackle class imbala...
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Predicting learning outcomes (LO) is an important problem in educational data mining (EDM). Despite extensive research, there remains a gap in determining the optimal timing for predicting early LO with acceptable acc...
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For predicting water evaporation (WE), machinelearning (ML) is a crucial decision support tool. Several machinelearning techniques (MLT) have been utilized to help with the forecast of WE. This review article has in...
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Breast cancer was diagnosed in 2.3 million individuals worldwide in 2022, and was the cause of 670,000 deaths. It ranks as the second most common cancer overall and the most frequently diagnosed cancer in women. Since...
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The impediments with 6G network construction have encouraged the activity of machinelearning Resource Allocation Algorithms (MLRA). In terms of flexibility and ability utilisation., MLRA outperforms more normal algor...
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Air pollution is described as the contains of dangerous substances in atmosphere that are emitted by natural sources or human activities and can harm humans, animals, and the environment. Sulfurous anhydride, carbon m...
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Recent advances in machinelearning (ML) show that Neural machine Translation (NMT) models can mock the program behavior when trained on input-output pairs. Such models can mock the functionality of existing programs ...
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ISBN:
(纸本)9798350322637
Recent advances in machinelearning (ML) show that Neural machine Translation (NMT) models can mock the program behavior when trained on input-output pairs. Such models can mock the functionality of existing programs and serve as quick-to-deploy reverse engineering tools. Still, the problem of automatically learning such predictive and reversible models from programs needs to be solved. This work introduces a generic approach for automated and reversible program behavior modeling. It achieves 94% of overall accuracy in the conversion of Markdown-to-HTML and HTML-to-Markdown markups.
Stress, a ubiquitous part of modern life, greatly affects an individual's mental and physical well- being. This work addresses the need for an efficient non-invasive system that can accurately detect stress levels...
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Epilepsy, a neurological illness marked by recurring seizures, presents a severe public health issue. Early and reliable diagnosis of epileptic seizures is critical for timely treatment and improved medical outcomes. ...
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