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SmartAntenna: Enhancing Wireless Range with Autonomous Orientation
The SmartAntenna proposes a novel approach to extend wireless communication, focusing on autonomous orientation to extend range and optimize performance.
Dynamic Training of Liquid State Machines
The experimental results showed that by using spike metrics and a range of weights, the desired output and the actual output of spiking neurons could be effectively optimised, leading to improved performance of SNNs.
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector
Vertebrate retinas are highly-efficient in processing trivial visual tasks such as detecting moving objects, yet a complex challenges for modern computers.
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task.
LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing
Labelling is an indispensable stage of data pre-processing that can be particularly challenging, especially when applied to single or multi-model real-time sensor data collection approaches.
