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Quantum Image Fusion Methods for Remote Sensing
Background Image fusion is an image processing technique that has grown in prevalence in recent years. Image fusion can be used for many different applications including medical imaging, aerospace, remote sensing, military surveillance, and manufacturing flaw identification. Quantum image fusion is a more recent development that uses quantum computing...
Published: 5/22/2025   |   Inventor(s): Leslie Miller, Glen Uehara, Andreas Spanias
Keywords(s):  
Category(s): Physical Science, Applied Technologies, Imaging
Quantum Positive Unlabeled Learning Algorithms with Applications to Energy
Background Positive unlabeled (PU) learning is a semi-supervised machine learning approach to a binary classification problem in which most of the data is unlabeled. PU learning algorithms reduce the computational cost of training machine learning classifiers, because the labeling of data is time-intensive for supervised machine learning algorithms....
Published: 5/21/2025   |   Inventor(s): Andreas Spanias, Salil Naik, Leslie Miller, Kristen Jaskie, Glen Uehara
Keywords(s):  
Category(s): Physical Science, Artificial Intelligence/Machine Learning, Energy & Power, Wireless & Networking
Semi-Supervised Symbol Detection for Piping and Instrumentation Drawings
Background Piping and instrumentation diagrams (P&IDs) are technical drawings used to operate and maintain process systems. P&IDs are typically used to identify components and quantities needed for ongoing projects, and to understand the layout and operation of the process system with completed projects. The information provided from P&IDs...
Published: 5/21/2025   |   Inventor(s): Mohit Gupta, Thomas Czerniawski
Keywords(s):  
Category(s): Physical Science, Artificial Intelligence/Machine Learning, Manufacturing/Construction/Mechanical
Intelligent Parking Guidance System
Background Private transportation is currently the most common form of transportation in the United States. Cars are an essential commodity, with each household in America typically having at least one car. However, finding an open parking space can be a daunting task, especially with the surge in the number of city vehicles. Navigating through a...
Published: 5/21/2025   |   Inventor(s): Junfeng Zhao
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Intelligence & Security, Physical Science, Wireless & Networking
Detection of Stealthy Bitstreams in Cloud FPGAs using Graph Convolutional Networks
Background A field-programmable gate array (FPGA) is a reprogrammable integrated circuit (IC) that can be configured for many different uses. FPGAs are essentially chips that can configured to perform specific tasks after they are manufactured. A multi-tenant FPGA is one that is designed to be shared by multiple, potentially independent, users or “tenants”....
Published: 5/21/2025   |   Inventor(s): Jayeeta Chaudhuri, Krishnendu Chakrabarty
Keywords(s):  
Category(s): Physical Science, Intelligence & Security, Artificial Intelligence/Machine Learning, Wireless & Networking
Photocatalytic Luminous Monoliths
Background As the range of materials that are compatible with additive manufacturing dimensional (3D) printing has expanded, the technology has gained increasing relevance in the applicability and adoption in fields such as catalysis and adsorption. Traditional monolithic contactors have the advantages of good mass transfer and lower pressure drops....
Published: 5/21/2025   |   Inventor(s): Jean Andino, Adnan Abdullahi, Mikiye Lamansky
Keywords(s):  
Category(s): Physical Science, Environmental Remediation/Wastewater Treatment, Energy & Power, Advanced Materials/Nanotechnology
Enhancing Sequence Generation with Rollout Algorithms
Background Generative pre-trained transformers (GPT) have grown in recent years in a number of natural language processing applications, largely due to the powerful openly available software and easy-to-use natural language interfaces. Transformers can provide a flexible and powerful model that generalizes the earlier forms of neural networks by using...
Published: 5/20/2025   |   Inventor(s): Dimitri Bertsekas, Yuchao Li
Keywords(s):  
Category(s): Physical Science, Wireless & Networking, Artificial Intelligence/Machine Learning
Multi-Modal Sensing-Aided Assessment and Feedback for Adaptive Language Learning
Background Mastering a language involves not only learning new alphabets and expanding vocabulary, but also mastering sentence construction, pronunciation, and effectively engaging in listening, speaking, reading, and writing activities. Each aspect presents unique challenges for learners, especially non-native speakers. Traditional methods of language...
Published: 5/13/2025   |   Inventor(s): Ahmed Alkhateeb, Gouranga Charan
Keywords(s):  
Category(s): Physical Science, Educational, Artificial Intelligence/Machine Learning
Systems and Methods for Global Horizontal Irradiance Forecasting for Photovoltaic Systems
Background As more large-scale solar arrays (utility-scale) are connected to the energy grid, predicting solar irradiance (e.g., the amount of sunlight hitting the panels) becomes crucial for accurately forecasting the power of these photovoltaic (PV) arrays. This is because solar power generation is highly dependent on sunlight, which is variable...
Published: 5/13/2025   |   Inventor(s): Andreas Spanias, Sameeksha Katoch, David Ramirez, Pavan Turaga, Cihan Tepedelenlioglu
Keywords(s):  
Category(s): Physical Science, Microelectronics, Artificial Intelligence/Machine Learning, Advanced Materials/Nanotechnology, Energy & Power
Cyber-Physical Twins for Environmental Process Modeling and Forecasting
Background Environmental process modeling is a key component of understanding how environmental systems behave through the use of mathematical and statistical models. Environmental modeling can be used to address a wide range of systems including agricultural disease spread, impact of natural disasters on specific ecosystems, water and air quality...
Published: 5/13/2025   |   Inventor(s): Jnaneshwar Das, Saurav Kumar, Nakul Gopalan, Ramon Arrowsmith
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Environmental, Physical Science
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