Essays about: "Spatial Computing"
Showing result 1 - 5 of 38 essays containing the words Spatial Computing.
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1. Confidential Federated Learning with Homomorphic Encryption
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Federated Learning (FL), one variant of Machine Learning (ML) technology, has emerged as a prevalent method for multiple parties to collaboratively train ML models in a distributed manner with the help of a central server normally supplied by a Cloud Service Provider (CSP). Nevertheless, many existing vulnerabilities pose a threat to the advantages of FL and cause potential risks to data security and privacy, such as data leakage, misuse of the central server, or the threat of eavesdroppers illicitly seeking sensitive information. READ MORE
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2. Deep Learning Based Detection, Quantification, and Subdivision of White Matter Hyperintensities in Brain MRI
University essay from Uppsala universitet/Avdelningen Vi3Abstract : White matter hyperintensities (WMH) are commonly found as bright regions in brain MRI images in older individuals. They are associated with various neurological and vascular diseases, such as stroke, dementia, and cardiovascular disorders. READ MORE
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3. A spatial data infrastructure based conceptual model for an efficient public transport system
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : This thesis addresses the pressing need for an efficient public transport system in response to increasing urban population and rising fossil fuel costs. The research aims to satisfy that need by answering the research question guiding this study is: "How can developing an SDI-based conceptual model, leveraging cloud computing, optimize public transport by integrating multiple travel data sources and overcoming data fragmentation and interoperability challenges?". READ MORE
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4. Exploiting Spatial Redundancy and Approximate Computing for Area Efficient Image Compression
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Owing to the intensive computation involved in the Discrete Cosine Transform during image com- pression, the design of the efficient hardware architectures for fast computation of the transform has become imperative, especially for real-time applications. Although fast computation techniques have been able to minimise the hardware computation complexity to a certain limit, they could further extend the research to figure out the interesting approaches which can be implemented on applications where power, speed and area are crucial factors to determine the performance of the system. READ MORE
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5. Evaluation of a change detection approach to map global flood extents using Sentinel-1
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : Floods are the most frequent disaster in the world and flood exposure is increasing globally. Flood mapping of past events can be a useful aid in not only disaster risk management, but also in evaluating and validating global flood models (GFMs) which are being used to assess and predict these floods. READ MORE
