Search Results - lei+yang

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Communication-Efficient Decentralized Multi-agent Machine Learning Method
Background In decentralized machine learning systems, agents often have varying computational and communication resources, leading to straggler problems and inefficient training. Existing federated learning methods typically rely on a central server, creating a bottleneck and limiting scalability in resource-constrained or failure-prone environments. Technology...
Published: 5/6/2025   |   Inventor(s): Lei Yang, Seyed Mahmoud Sajjadi Mohammadabadi
Keywords(s):  
Category(s): Technology Classifications > Software, Technology Classifications > Information & Communication Technologies
Deep learning-based wildfire smoke detection tools
Technology Overview Researchers at the University of Nevada, Reno have developed an early wildfire smoke detection software that uses AI to analyze real-time video from remote camera networks. The system, named Nemo, uses an end-to-end Transformer architecture (based on DETR) to detect small, low-density smoke plumes—often visible only as faint...
Published: 5/6/2025   |   Inventor(s): Lei Yang, Amir Yazdi
Keywords(s):  
Category(s): Technology Classifications > Software, Technology Classifications > Energy & Environment
PMU-based event detection tool for grid analytics and monitoring
Technology Overview: Researchers at the University of Nevada, Reno have developed real-time grid event detection software that analyzes phasor measurement unit (PMU) data. The software uses singular value decomposition (SVD) to measure changes in rank signatures across PMU data signals (voltage, current, frequency). It employs Bayesian optimization...
Published: 5/6/2025   |   Inventor(s): Lei Yang, Amir Ghasemkhani, Yunchuan Liu
Keywords(s):  
Category(s): Technology Classifications > Software, Technology Classifications > Energy & Environment
Steric Hindrance Effect of Additives for Tuning the Perovskite Crystal Orientation (Case No. 2024-023)
Summary: UCLA Researchers in the Department of Materials Science and Engineering have developed a method to tune perovskite crystal orientation for increased performance, energy efficiency, and reduced material defect with a variety of field applications, including solar cells and LEDs. Background: Perovskite holds considerable promise as a highly...
Published: 2/14/2025   |   Inventor(s): Yang Yang, Chunqing Ma, Haoxiang Duan, Dong Meng
Keywords(s): Energy Efficiency, energy-efficient, Imaging, Liquid-Crystal Display, Nanocrystal, OLED, Optoelectronics, organic photo detector, organic photovoltaics, perovskite, perovskite devices, perovskite solar cell, photodetection, Solar Cell, X-ray detectors
Category(s): Chemical > Chemical Processing & Manufacturing, Energy & Environment > Energy Efficiency, Energy & Environment, Materials > Composite Materials, Optics & Photonics, Optics & Photonics > Fiber Optics, Materials > Functional Materials
New Small Molecules for Stable and Efficient Organic Photovoltaics (UCLA Case No. 2023-086)
Summary: UCLA researchers in the Department of Materials Science and Engineering have developed a novel molecule for organic photovoltaics, photodetectors, organic field effect transistors, and other relevant applications. Background: Among all competing photovoltaic technologies, the organic photovoltaics (OPVs) market is likely to grow the fastest,...
Published: 2/14/2025   |   Inventor(s): Yang Yang, Dong Meng
Keywords(s): Concentrated Solar Power, Concentrated Solar Power Chemical Engineering, energy conversion, energy conversion applications, energy recycle, interfacial layer, Methods Of Detecting Extrasolar Planets, multi-junction tandem devices, near-infrared, organic field effect transistors, organic photo detector, organic photovoltaics, Organic Solar Cell, perovskite devices, perovskite solar cell, Polymer Solar Cell, rganic light-emitting diodes, Solar Cell, Solar Cell Metamaterial, Solar Cell Molecular Electronics, Solar Energy, Thin Film Solar Cell, transparent OPVs, ultra-narrow bandgap
Category(s): Electrical, Electrical > Electronics & Semiconductors, Materials > Functional Materials, Energy & Environment > Energy Generation > Solar
2022-216 Electrode for Rechargeable Batteries that Resists Dendrite Growth
Summary: UCLA researchers in the Department of Material Science and Engineering have developed electrodes for rechargeable batteries which resist dendrite growth. Background: Rechargeable batteries have attracted attention due to their wide array of applications and environmental benefits. Rechargeable metal-ion batteries, such as lithium-ion batteries,...
Published: 3/19/2025   |   Inventor(s): Yang Yang, Xiaochun Li
Keywords(s): Alloy, Dendrite, Electrode, Lithium Battery, Lithium-Ion Battery, Nanoelectronics, Nanoparticle, Rechargeable Battery, Rechargeable Battery Thermal Conductivity
Category(s): Materials > Semiconducting Materials, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Electrical > Electronics & Semiconductors, Energy & Environment > Energy Storage > Batteries
Multiple Organ Localization and Segmentation for Automatic Treatment Planning
­ Application A software for automatic detecting and segmenting tumors and Organs at Risk (OAR) in medical images. Key Benefits Automatically detect and segment tumors and OARs. Can detect multiple organs and generate their contour maps. Market Summary Radiation therapy (RT) is one of the most common treatment modalities for cancer and...
Published: 7/30/2024   |   Inventor(s): Xiaofeng Yang, Yang Lei, Tian Liu
Keywords(s): Imaging, Oncology
Category(s): TechPub Algolia > Software
CBCT-Guided Adaptive Photon and Proton Radiotherapy
­ Application Generating synthetic MRI images from CBCT images with deep learning. Key Benefits Generate high contrast MRI images from cone-beam CT images. High quality, high contrast images to enable precise radiation treatment. Market Summary Radiation therapy (RT) is one of the most common treatment modalities for cancer and is used...
Published: 2/13/2025   |   Inventor(s): Xiaofeng Yang, Yang Lei, Tian Liu, Jun Zhou
Keywords(s): Algorithm, AI, and Machine Learning, Oncology Treatments
Category(s): TechPub Algolia > Therapeutics, TechPub Algolia > Software
Software to Correct 4D CT Scan Image Distortion
Application A software that employs unsupervised deep learning to correct 4D CT scan image distortion due to respiratory motions. Key Benefits Allows the generation of highly precise, motion-corrected 4D CT images Market Summary CT scans usually allow radiation oncologists to contour a tumor’s area and position. However, abdominal motions...
Published: 7/30/2024   |   Inventor(s): Yang Lei, Tian Liu, Xiaofeng Yang, Yabo Fu
Keywords(s): Imaging
Category(s): TechPub Algolia > Software, TechPub Algolia > Diagnostics
Low Dose PET/MRI and PET/CT Imaging
Application A deep-learning based method for generating diagnostic-quality PET images from lower quality images to reduce scanning time and radiation exposure Key Benefits Generates a high quality synthetic high-count PET image from low-count PET image or CT scan image Reduces radiation exposure to patient Reduces scanning time Market Summary Positron...
Published: 2/13/2025   |   Inventor(s): Xiaofeng Yang, Yang Lei, Hui Mao, Tian Liu, Jonathon Nye, Xue (Xueyuan) Dong
Keywords(s): Algorithm, AI, and Machine Learning, Medical Imaging (MRI, CT, Radiology)
Category(s): TechPub Algolia > Diagnostics, TechPub Algolia > Software
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