Essays about: "Spiking Neural Network SNN"
Showing result 1 - 5 of 13 essays containing the words Spiking Neural Network SNN.
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1. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Spiking Neural Networks (SNNs) are a type of neural network that is designed to mimic the way neurons function in our brains. While there have been notable advancements in developing SNNs, energy consumption hasn't been studied to the same extent. This gets especially relevant with steadily increasing network sizes. READ MORE
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2. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. READ MORE
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3. Comparison of Output Decoding Techniques for Spiking Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Spiking Neural Networks (SNNs) hold significant potential due to their high energy efficiency when implemented on specialized hardware. Central to SNNs is the translation of sequences of spike events to concrete outputs, like class predictions. READ MORE
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4. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner
University essay from Uppsala universitet/Signaler och systemAbstract : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. READ MORE
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5. Noise Robustness of CNN and SNN for EEG Motor imagery classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an able-bodied human, understanding what someone says during a phone call with a lot of background noise is usually a task that is quite easy for us as we are aware of what the information is we want to hear, e.g. the voice of the person we are talking to, and the information that is noise, e.g. READ MORE