Analyze amyloid beta peptides in artificial cerebrospinal fluid using LC–MS/MS with the Xevo TQ Absolute mass spectrometer, ...
This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...
Abstract: Spiking Neural Networks (SNNs) have some dis-tinct advantages in addressing temporal data by simulating the information transmission mode of brain neurons. Due to the nondifferentiable ...
Abstract: This paper presents FeSAP, a Federated Spiking Adaptive Prediction framework for opportunistic spectrum access in distributed Cognitive Radio Networks (CRNs). FeSAP integrates a Recurrent ...
Multimodal large language models are promising for clinical visual question answering tasks, but scaling to 3D imaging is hindered by high computational costs. Prior methods often rely on 2D slices or ...
An end-to-end Machine Learning project that predicts house prices using multiple regression models with a Streamlit web interface for real-time predictions. ![Python ...
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