Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
When preprocessing the BCICIV 2a motor imagery (MI) dataset, we noticed a discrepancy between the theoretical total number of trials and the valid samples used in the paper: Theoretical total trials: ...
Abstract: Data preparation is essential for boosting machine learning model's performance by increasing data quality and lowering noise. This study evaluates the impact of preprocessing on key ...
Abstract: In an era where the vast influx of content increasingly compromises the authenticity of information, identifying false information has emerged as a pressing concern. This research addresses ...
The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...
ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...
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