Depression diagnosis remains largely dependent on subjective clinical assessments, creating a strong need for objective and reproducible biomarkers. Electroencephalography (EEG) offers a non-invasive and cost-effective solution for capturing neural activity associated with depressive states. This study proposes a deep...
Pratima Singh, A. Chauhan, Dhyanendra Jain et al.· Advance Sustainable Science,...· 0 citations
A physics-informed machine-learning model was created to forecast the dielectric constant of oxide materials. The study explores the physicochemical descriptors that govern the response of the materials. A set of 3304 non-metallic oxide compounds was built using the Materials Project database. A comprehensive feature s...
Mega Novita, A. Chauhan, Nancy Agarwal et al.· Chemistry· 0 citations
This research determines the important parameters to predict the crystal systems (monoclinic, orthorhombic, and triclinic) and evaluates different machine learning algorithms to make the correct prediction.
M. Novita, A. Chauhan, Rizky Muliani Dwi Ujianti et al.· Journal of Data Science and...· 0 citations
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