Search Results - andreas+spanias

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Quantum Linear Prediction Using QFT
Quantum computing has the potential to significantly impact massive signal processing operations. Research is being done in exploring ways to harness its potential for signal processing applications. The use of quantum computing for signal processing holds great promise for improving the speed and accuracy in several signal processing applications...
Published: 8/7/2024   |   Inventor(s): Andreas Spanias, Aradhita Sharma, Glen Uehara
Keywords(s): PS-Computing and Information Technology, Quantum Computing, Signal Processing
Category(s): Computing & Information Technology, Physical Science
Quantum Autocorrelation Computation Using QFT
Quantum computing offers unprecedented computational power, enabling the solution of complex problems beyond the reach of classical computers. In signal processing, autocorrelation is used to analyze signals and extract valuable information, but traditional methods involve high computational complexity due to numerous multiplications and additions....
Published: 8/7/2024   |   Inventor(s): Aradhita Sharma, Glen Uehara, Andreas Spanias
Keywords(s): PS-Computing and Information Technology, Quantum Computing, Signal Processing
Category(s): Computing & Information Technology, Physical Science
Gaussian Process Modeling for Heterogeneous Functions
Many modern science and engineering applications, such as machine learning, hyperparameter optimization of neural networks, robotics, cyber-physical systems, etc., call for modeling techniques to model black-box functions. Gaussian Process (GP) modeling is a popular Bayesian non-parametric framework heavily employed to model expensive black-box functions...
Published: 5/13/2024   |   Inventor(s): Mohit Malu, Giulia Pedrielli, Gautam Dasarathy, Andreas Spanias
Keywords(s): Machine Learning, Modeling, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
Quantum Fourier Transform Tools for Signal Analysis-Synthesis and Compression
Quantum computing (QC) is a multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than on classical computers (e.g., QC promises to process data with estimated speeds exceeding 100 million times relative to classical computers). Signal processing is...
Published: 3/27/2024   |   Inventor(s): Andreas Spanias, Aradhita Sharma, Leslie Miller, Glen Uehara
Keywords(s): Algorithm Development, Circuits, PS-Computing and Information Technology, Quantum Computing, Signal Processing
Category(s): Computing & Information Technology, Physical Science
Adaptive Asymmetric Loss Function for Positive Unlabeled Learning
Unlike traditional semi-supervised learning, positive unlabeled learning requires only some labeled data from the positive class. All other data, both positive and negative, is unlabeled. The goal is the same, i.e., to construct a classification model that correctly labels unlabeled images and create a model to label future images. This problem is...
Published: 10/25/2023   |   Inventor(s): Kristen Jaskie, Nolan Vaughn, Vivek Sivaraman Narayanaswamy, Sahba Zaare, Joseph Marvin, Andreas Spanias
Keywords(s): Algorithm Development, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
Cough Audio COVID-19 Detection Via Deep Neural Network with Combined Cross Entropy and Focal Loss
­Background With the outbreak of COVID-19 caused by the coronavirus SARS-CoV-2, the severity of infection and associated fatality rates motivate the exploration for rapid and reliable screening approaches. Although reverse transcriptase-polymerase chain reaction (RT-PCR) testing is commonly adopted, coughing sounds have been found to reveal useful...
Published: 2/23/2023   |   Inventor(s): Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Andreas Spanias
Keywords(s): COVID-19, Networks, IT, Software and Communication
Category(s): Intelligence & Security, Physical Science, Computing & Information Technology, COVID-19, Coronavirus, Medical Diagnostics/Sensors
Optimizing Solar Power using Array Topology Reconfiguration and Deep Neural Network
Photovoltaic (PV) energy systems have played a major part in meeting renewable energy requirements. However, power production from PV systems faces impediments such as partial shading due to environmental and man-made obstructions. Shading causes voltage and current mismatch losses that can significantly reduce the power supplied to the grid. Reconfiguring...
Published: 2/23/2023   |   Inventor(s): Vivek Sivaraman Narayanaswamy, Rajapandian Ayyanar, Cihan Tepedelenlioglu, Andreas Spanias
Keywords(s): Algorithm Development, Networks, IT, Software and Communication, Neural Computing, Performance Optimization, PS-Energy and Power, Solar Energy
Category(s): Physical Science, Environmental, Energy & Power, Computing & Information Technology, Alternative Energy
Multi-Layered Graph Embeddings for Machine Learning
The prevalence of relational data in several real-world applications, e.g., social network analysis, recommendation systems, and neurological modeling has led to crucial advances in machine learning techniques for graph-structured data. This encompasses a wide-range of formulations to mine and gather insights from complex network datasets — node...
Published: 4/5/2023   |   Inventor(s): Uday Shanthamallu, Andreas Spanias, Jayaraman Thiagarajan, Huan Song
Keywords(s): Machine Learning, Networks, IT, Software and Communication, PS-Computing and Information Technology
Category(s): Physical Science, Computing & Information Technology
Robust Max Consensus Algorithm for Wireless Sensor Networks
­Wireless sensor network (WSN) is a distributed network consisting of multi-functional sensors, which can communicate with neighboring sensors over wireless channels. Estimating statistics of sensor measurements in WSNs is necessary for detecting anomalous sensors, supporting nodes with insufficient resources, determining network area estimation,...
Published: 3/29/2023   |   Inventor(s): Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
Keywords(s): Networks, IT, Software and Communication, PS-Wireless and Networking, Sensors, Software, Wireless
Category(s): Physical Science, Chemical/Biological Sensors, Applied Technologies, Wireless & Networking, Computing & Information Technology
Unsupervised Audio Source Separation Using Generative Priors
­Background Audio source separation, the process of recovering constituent source signals from a given audio mixture, is a key component in downstream applications such as audio enhancement and music information retrieval. Modern under-determined audio source separation systems rely on supervised training of carefully tailored neural network architectures...
Published: 2/23/2023   |   Inventor(s): Vivek Sivaraman Narayanaswamy, Jayaraman Thiagarajan, Rushil Anirudh, Andreas Spanias
Keywords(s): Networks, IT, Software and Communication
Category(s): Physical Science, Computing & Information Technology, Intelligence & Security
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