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Full-Text Articles in Other Computer Engineering
Using Deep Neural Network And Transformers To Extract Graphene Compounds And Properties, Ayman Ibn Jaman
Using Deep Neural Network And Transformers To Extract Graphene Compounds And Properties, Ayman Ibn Jaman
Computer Science Graduate Research Workshop
No abstract provided.
An Application Of Artificial General Intelligence In Board Games, Nathan Skalka
An Application Of Artificial General Intelligence In Board Games, Nathan Skalka
Computer Science Graduate Research Workshop
No abstract provided.
A Shared-Memory Algorithm For Updating Single-Source Shortest Paths In Large Weighted Dynamic Networks, Sriram Srinivasan
A Shared-Memory Algorithm For Updating Single-Source Shortest Paths In Large Weighted Dynamic Networks, Sriram Srinivasan
UNO Student Research and Creative Activity Fair
In the last decade growth of social media, increased the interest of network algorithms for analyzing large-scale complex systems. The networks are highly unstructured and exhibit poor locality, which has been a challenge for developing scalable parallel algorithms. The state-of-the-art network algorithms such as Prim's algorithm for Minimum Spanning Tree, Dijkstra's algorithm for Single Source Shortest Path and ISPAN algorithm for detecting strongly connected components are designed and optimized for static networks. The networks which change with time i.e. the dynamic networks such as social networks, the above-mentioned approaches can only be utilized if they are recomputed from scratch each …
Mobility-Based Models For Advancing Diagnostic/Predictive Healthcare, Elham Rastegari
Mobility-Based Models For Advancing Diagnostic/Predictive Healthcare, Elham Rastegari
UNO Student Research and Creative Activity Fair
Functional ability has been always considered as one of the important determining factors of individuals’ health and quality of life. Traditional movement analysis systems require expensive facilities and frequent visits for patients to specialized laboratories. Portability and affordability of wearable sensors along with their improved accuracy and capability of monitoring movement during daily activities make them a potential alternative for analyzing mobility patterns for clinical and health assessment purposes. Wearable-based movement data, when combined with other relevant clinical or laboratory data, could enhance evidence-based healthcare and data-driven Clinical Decision Support Systems (CDSS). Utilizing the data from wearable devices, many researchers …
A Hierarchical Learning Model For Extracting Public Health Data From Social Media, Elham Rastegari
A Hierarchical Learning Model For Extracting Public Health Data From Social Media, Elham Rastegari
UNO Student Research and Creative Activity Fair
In decision making processes, particularly when it comes to health-related decisions, each relevant piece of information is important. This is particularly important when it comes to health conditions for which there remains a high degree of non-determinism as far as diagnosis and treatment. Online social media, are places in which people feel free to share their opinions about numerous topics, including public health issues and how individuals have responded to different types of treatments associated with diseases. social media could represent a secondary source that can be used as a supplement to other data sources. This would allow individuals as …