Publications by authors named "Asif Ameer"
Article Synopsis
- The study focuses on improving the understanding and classification of psychotropic medications' effects on brain activity, particularly for treatments related to neurodegenerative diseases like Parkinson's and Alzheimer's.
- Researchers utilize advanced neural network models, specifically Convolutional Neural Networks and Bidirectional Long Short-Term Memory (LSTM) models, to analyze Pharmaco-EEG recordings and enhance drug classification accuracy.
- Results show promising performance metrics, with most drugs achieving high F1-Scores, particularly morphine, ephedrine, and fluoxetine, indicating the effectiveness of these models in predicting drug classes based on brain bioelectric signals.
Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We compared response surface methodology (RSM) and artificial neural network (ANN) modelling for their estimation and predictive capabilities in building effective models with maximum responses. A 5-level 3-factor central composite design was used to optimize microwave-assisted extraction (MAE) to obtain maximum yield of target responses as a function of extraction time (X: 1-5min), ethanol concentration, (X: 0-100%) and microwave power (X: 40-200W).
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