Understanding amyloid beta plaque formation in Alzheimer’s disease using plaque and gene expression landscape. Performed tests using 3 to 16 months mice brain data to identify new sub-types of plaques using unsupervised clustering methodologies and analysed histological slides stained for cell types.
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Leveraging LiDAR, spherical street view images and data from multimodal sensors to isolate key features such as drainage, road signs and common street furniture such as phone box.Project done with Ordnance Survey, Northern Ireland
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The dynamics of an autonomous system can go into unpredictable behavior because of the faultiness of the sensors, power failure or unexpected environment condition. This work detects whether the state of the drone is in order or not, using multiple streams of video footages.
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Implemented MARL(multiagent reinforcement learning) on Starcraft using PyMARL and experimented with different environment confgurations and algorithms such as QMIX, COMA, VDN etc.
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A low cost and light weight system with microcontrollers that processes signal and alerts the visually impaired person over any obstacle, water or dark areas through haptic vibrators.
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A Multi-student knowledge distillation framework, which employs multiple student models to bridge the gap between the data distribution and the student meta architecture.
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This study was conducted to classify patients into one of the sixteen subclasses, among which one class represents absence of disease and the other fifteen classes represent electrocardiogram records of various subtypes of arrhythmias.
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This system finds when the temperature exceeds a particular threshold and the person concerned will be notified through Telegram.
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