Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Location Prediction"”.
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Occupant location prediction in smart buildings using association rule mining
… Due to the delayed response of HVAC systems, prediction of occupant locations is necessary to maximize energy efficiency. We present an approach to occupant location prediction based on association rule mining, allowing prediction based on historical occupant locations. Association rule mining …
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Urban computing using call detail records : mobility pattern mining, next-location prediction and location recommendation
… understand presence patterns, develop mobility prediction methods and reduce traffic congestions with location recommendations. Understanding human mobility and presence patterns at locations are the building blocks for behavior prediction, service design and system improvements. In the first …
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Predicting Future Locations and Arrival Times of Individuals
… two objectives: a) to predict people's future locations, and b) to predict when they will be at given locations. Current location-based applications react to the user's current location. The progression from location-awareness to location-prediction can enable the next generation of proactive, …
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Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features
… is very challenging. Determining a protein’s location within the cell (also referred to as the subcellular location) helps shed light on the function of that protein. Protein subcellular location can be inferred through experimental methods or predicted using computational systems. In …
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Minimal Infrastructure Radio Frequency Home Localisation Systems
The ability to track the location of a subject in their home allows the provision of a number of location based services, such as remote activity monitoring, context sensitive prompts and detection of safety critical situations such as falls. Such pervasive monitoring functionality offers the …
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Programmatically Extending Emergency Notifications into Regional Online Social Networks with Latent Variable Inference Techniques
… robust geographic feature datasets along with location prediction techniques for labeling non geo-located social media users as local citizens and potential recipients of critical messages. The breadth of location inference research as well as the complementary aspects of location …
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Optimal structures and collective dynamics of human flows in transportation networks.
… datasets from US cities, we improve next-location prediction models by combining insights from individual trajectories and collective mobility dynamics. This approach is further examined in the context of novel mobility patterns influenced by COVID-19 restrictions, emphasizing the …
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Leveraging vehicular cloud computing through location and request prediction
… from different vehicles, and then predict the location of potential vehicles as mobile fog nodes in advance to form Vehicular Clouds. Finally, we propose a layer-based architecture with two prediction models and different modules to support safety and non-safety applications, and a task …
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Geografinio ir socialinio konteksto užklausų taikymai /
… this paper. With the help of Geo-Social queries, location prediction model of next user check-in is created. Quality threshold clustering algorithm is used to create clusters of check-ins. Check-ins are clustered together to find familiar regions for each user in Geo-Social network. Finding …
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Development of experimental and numerical methodologies for the investigation of composite and hybrid metal-composite fastened joints subjected to impact loads
… load – displacement curves, as well as on the prediction of the failure initiation, the damage progression and the final catastrophic failure modes. In addition to this modelling technique, a second finite element modelling methodology, which is referred as ‘macro-modelling approach’ and is …
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Improved dynamics modelling for drainage sediment prediction and management
… investigation are therefore able to predict the locations and quantities of sediment deposits through improved sediment transport methods and offer a strategy of sediment control using sediment traps where appropriate. To facilitate these methods, a number of the previous shortcomings of drainage …