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Full-Text Articles in Physical Sciences and Mathematics
Artificial Intelligence In Cyber Security, University Of Maine Artificial Intelligence Initiative
Artificial Intelligence In Cyber Security, University Of Maine Artificial Intelligence Initiative
General University of Maine Publications
UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.
Artificial Intelligence For Agriculture, University Of Maine Artificial Intelligence Initiative
Artificial Intelligence For Agriculture, University Of Maine Artificial Intelligence Initiative
General University of Maine Publications
UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.
Manufacturing And Materials, University Of Maine Artificial Intelligence Initiative
Manufacturing And Materials, University Of Maine Artificial Intelligence Initiative
General University of Maine Publications
UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.
Applications Of Ai In Business, Industry, Government, Healthcare, And Environment, University Of Maine Artificial Intelligence Initiative
Applications Of Ai In Business, Industry, Government, Healthcare, And Environment, University Of Maine Artificial Intelligence Initiative
General University of Maine Publications
UMaine AI draws top talent and leverages a distinctive set of capabilities from the University of Maine and other collaborating institutions from across Maine and beyond, while it also recruits world-class talent from across the nation and the world. It is centered at the University of Maine, leveraging the university’s strengths across disciplines, including computing and information sciences, engineering, health and life sciences, business, education, social sciences, and more.
Social, Ethical, Policy, And Legal Considerations, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
Social, Ethical, Policy, And Legal Considerations, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
General University of Maine Publications
The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.
Education And Workforce Development, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
Education And Workforce Development, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
General University of Maine Publications
The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.
Applications Of Ai In Business, Industry, Government, Healthcare And Environment, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
Applications Of Ai In Business, Industry, Government, Healthcare And Environment, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
General University of Maine Publications
The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.
Advances In Artificial Intelligence, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
Advances In Artificial Intelligence, University Of Maine Artificial Intelligence Initiative, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter
General University of Maine Publications
The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.
Discovery Of Topological Constraints On Spatial Object Classes Using A Refined Topological Model, Ivan Majic, Elham Naghizade, Stephan Winter, Martin Tomko
Discovery Of Topological Constraints On Spatial Object Classes Using A Refined Topological Model, Ivan Majic, Elham Naghizade, Stephan Winter, Martin Tomko
Journal of Spatial Information Science
In a typical data collection process, a surveyed spatial object is annotated upon creation, and is classified based on its attributes. This annotation can also be guided by textual definitions of objects. However, interpretations of such definitions may differ among people, and thus result in subjective and inconsistent classification of objects. This problem becomes even more pronounced if the cultural and linguistic differences are considered. As a solution, this paper investigates the role of topology as the defining characteristic of a class of spatial objects. We propose a data mining approach based on frequent itemset mining to learn patterns in …
Pattern Recognition And Matching In Ice Core Data, Nathan Dunn
Pattern Recognition And Matching In Ice Core Data, Nathan Dunn
Honors College
The purpose of this research is to investigate the potential of applying concepts from ma- chine learning, such as pattern recognition and matching, to detect climatic signals in ice core data. The main components of this project are the development of a pattern language for expressing relationships between chemical signals over time, a method of tokenizing ice core chemistry data into an easily manageable form, a method of matching specific instances of climatic signals to a specific pattern string, and a method to recognize and evaluate patterns within ice core chemistry data. While there are weaknesses in each of these …
Integrating Cross-Scale Analysis In The Spatial And Temporal Domains For Classification Of Behavioral Movement, Ali Soleymani, Jonathan Cachat, Kyle Robinson, Somayeh Dodge, Allan Kalueff, Robert Weibel
Integrating Cross-Scale Analysis In The Spatial And Temporal Domains For Classification Of Behavioral Movement, Ali Soleymani, Jonathan Cachat, Kyle Robinson, Somayeh Dodge, Allan Kalueff, Robert Weibel
Journal of Spatial Information Science
Since various behavioral movement patterns are likely to be valid within different unique ranges of spatial and temporal scales (e.g. instantaneous diurnal or seasonal) with the corresponding spatial extents a cross-scale approach is needed for accurate classification of behaviors expressed in movement. Here we introduce a methodology for the characterization and classification of behavioral movement data that relies on computing and analyzing movement features jointly in both the spatial and temporal domains. The proposed methodology consists of three stages. In the first stage focusing on the spatial domain the underlying movement space is partitioned into several zonings that correspond to …
Geocam: A Geovisual Analytics Workspace To Contextualize And Interpret Statements About Movement, Anuj Jaiswal, Scott Pezanowski, Prasenjit Mitra, Xiao Zhang, Sen Xu, Ian Turton, Alexander Klippel, Alan M. Maceachren
Geocam: A Geovisual Analytics Workspace To Contextualize And Interpret Statements About Movement, Anuj Jaiswal, Scott Pezanowski, Prasenjit Mitra, Xiao Zhang, Sen Xu, Ian Turton, Alexander Klippel, Alan M. Maceachren
Journal of Spatial Information Science
This article focuses on integrating computational and visual methods in a system that supports analysts to identify extract map and relate linguistic accounts of movement. We address two objectives: (1) build the conceptual theoretical and empirical framework needed to represent and interpret human-generated directions; and (2) design and implement a geovisual analytics workspace for direction document analysis. We have built a set of geo-enabled computational methods to identify documents containing movement statements and a visual analytics environment that uses natural language processing methods iteratively with geographic database support to extract interpret and map geographic movement references in context. Additionally analysts …
Linguistic Spatial Classifications Of Event Domains In Narratives Of Crime, Blake Stephen Howald
Linguistic Spatial Classifications Of Event Domains In Narratives Of Crime, Blake Stephen Howald
Journal of Spatial Information Science
Structurally, formal definitions of the linguistic narrative minimally require two temporally linked past-time events. The role of space in this definition, based on spatial language indicating where events occur, is considered optional and non-structural. However, based on narratives with a high frequency of spatial language, recent research has questioned this perspective, suggesting that space is more critical than may be readily apparent. Through an analysis of spatially rich serial criminal narratives, it will be demonstrated that spatial information qualitatively varies relative to narrative events. In particular, statistical classifiers in a supervised machine learning task achieve a 90% accuracy in predicting …