Kareem S. Aggour
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View article: Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data
Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data Open
The development and discovery of new materials can be significantly enhanced through the adoption of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and the establishment of a robust data infrastructure in support …
View article: A Common Data Dictionary and Common Data Model for Additive Manufacturing
A Common Data Dictionary and Common Data Model for Additive Manufacturing Open
Additive manufacturing (AM) leverages emerging technologies and well-adopted processes to produce near-net-shape products. The advancement of AM technology requires data management tools to collect, store, and share information through the…
View article: Enabling FAIR data in additive manufacturing to accelerate industrialization
Enabling FAIR data in additive manufacturing to accelerate industrialization Open
Additive manufacturing (AM) is an important enabler of Industry 4.0 but there are several hurdles that need to be overcome to realize the full potential of AM. These challenges include the need for a data infrastructure that supports the s…
View article: Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery
Compound Knowledge Graph-Enabled AI Assistant for Accelerated Materials Discovery Open
Materials scientists are facing increasingly challenging multi-objective performance requirements to meet the needs of modern systems such as lighter-weight and more fuel-efficient aircraft engines, and higher heat and oxidation-resistant …
View article: Evaluating Vector Representations of Short Text Data for Automating Recommendations of Maintenance Cases
Evaluating Vector Representations of Short Text Data for Automating Recommendations of Maintenance Cases Open
Nuclear power is a carbon-free source of energy, and features as a key component in the mix of energy towards meeting ambitious decarbonization goals. However, as it currently stands, nuclear power generation is orders of magnitude more ex…
View article: Application of Big Data Analytics and Machine Learning to Large-Scale Synchrophasor Datasets: Evaluation of Dataset ‘Machine Learning-Readiness’
Application of Big Data Analytics and Machine Learning to Large-Scale Synchrophasor Datasets: Evaluation of Dataset ‘Machine Learning-Readiness’ Open
This manuscript presents a data quality analysis and holistic ‘machine learning-readiness’ evaluation of a representative set of large-scale, real-world phasor measurement unit (PMU) datasets provided under the United States Department of …
View article: Phasor-Measurement-Unit-Based Data Analytics Using Digital Twin and PhasorAnalytics Software
Phasor-Measurement-Unit-Based Data Analytics Using Digital Twin and PhasorAnalytics Software Open
A major objective of this project was to apply GE’s commercial machine learning and data analytics toolsets to large-scale, real-world, anonymized Phasor Measurement Unit (PMU) datasets in order to extract signatures, correlated and/or cau…
View article: Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective
Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective Open
The discovery of `event signatures' and useful insights from very large historical Phasor Measurement Unit (PMU) datasets is predicated on offline Big Data analysis approaches that rely on the generation of predictive features on a massive…
View article: Artificial Intelligence Enabled Material Behavior Prediction
Artificial Intelligence Enabled Material Behavior Prediction Open
Artificial Intelligence and Machine Learning algorithms have considerable potential to influence the prediction of material properties. Additive materials have a unique property prediction challenge in the form of surface roughness effects…
View article: SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs
SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs Open
The relatively recent adoption of Knowledge Graphs as an enabling technology in multiple high-profile artificial intelligence and cognitive applications has led to growing interest in the Semantic Web technology stack. Many semantics-relat…
View article: SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and\n Querying Knowledge Graphs
SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and\n Querying Knowledge Graphs Open
The relatively recent adoption of Knowledge Graphs as an enabling technology\nin multiple high-profile artificial intelligence and cognitive applications has\nled to growing interest in the Semantic Web technology stack. Many\nsemantics-re…
View article: Front Matter: Volume 9791
Front Matter: Volume 9791 Open
identifier (CID) number is assigned to each article at the time of publication.Utilization of CIDs allows