Publications by authors named "M Imran Ganaie"

Artificial synapses based on resistive switching have emerged as a promising avenue for brain-inspired computing. Hybrid metal halide perovskites have provided the opportunity to simplify resistive switching device architectures due to their mixed electronic-ionic conduction, yet the instabilities under operating conditions compromise their reliability. We demonstrate reliable resistive switching and synaptic behaviour in layered benzylammonium (BzA) based halide perovskites of (BzA)PbX composition (X = Br, I), showing a transformation of the resistive switching from digital to analog with the change of the halide anion.

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Current research focuses on explicitly developing and evaluating nanostructured lipidic carriers (NLCs) for the chemotherapeutic drug Ribociclib (RCB) via the topical route to surmount the inherent bioavailability shortcomings. The absolute oral bioavailability has not been determined, but using a physiologically based pharmacokinetic model it was predicted that 65.8 % of the standard dose of RCB (600 mg) would be absorbed mainly in the small intestine.

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The domain of machine learning is confronted with a crucial research area known as class imbalance (CI) learning, which presents considerable hurdles in the precise classification of minority classes. This issue can result in biased models where the majority class takes precedence in the training process, leading to the underrepresentation of the minority class. The random vector functional link (RVFL) network is a widely used and effective learning model for classification due to its good generalization performance and efficiency.

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The lost dopaminergic neurons in the brain prevent mobility in Parkinson's disease (PD). It is impossible to stop the disease's progress by means of symptoms management. Research focuses on oxidative stress, mitochondrial dysfunction, and neuronal degeneration.

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