Papers:
Machine Learning for Automated Hepatic Fat Quantification
Nonalcoholic fatty liver disease is a global pandemic. This study investigated whether ultrasound point shear wave elastography measurements could predict hepatic fat quantification using a machine larning (ML) algorithm trained with fat quantification on MRI. [...]
Gamma-Ray Raster Imaging with Robotic Data Collection
Currently, in order to create gamma-ray images, some form of collimation is required. The foremost imaging techniques either require physical collimation (such as the heavy shielding required for a pinhole imager) or restrictive algorithms (such [...]
Preventing Elderly Falling Through Machine Learning
Using a machine-learning approach, we created, tested, and patented an algorithm that accurately predicts elderly falling. Additionally, using the algorithm our research in a community-based environment we demonstrated the ability to prevent injurious falls. Our [...]
Machine Learning for Microstructures Classification in Functional Materials
The search for novel magnetic phases requires efficient quantitative microstructure analysis to extract microstructural information and to correlate it with its intrinsic magnetic parameters. Kerr micrographs of magnets hold vital information for analysing the distribution [...]
Machine Learning Based Detection and Deep Learning Based Image Inpainting of Preparation Artefacts in Micrographs
Artefacts like stains or scratches introduced during the metallographic sample preparation process are a problem for manual as well as automatic image analysis. We show the use of image inpainting – normally used for reconstruction [...]
Using Robotics to Assemble Graphene Supercapacitor
Wu C., Wu S., Kim J., Magluyan D., Kawamoto-Kindred D., Zhou Y.H., Cao N., Zhao H., Kuang Z., Kidd T., Wu C., Wu S., Dobbs S., California State Polytechnic University, Pomona, US
Robotics is a field that seeks to use more precise and accurate mechanical manipulation to improve the speed, efficiency, and safety of certain tasks where human actions would be more of a liability than a [...]
Experimental Observations of Majorana Particles Produced in Arrays of Fractional Josephson Junctions in An Organo-metallic Superconductive Device
Majorana particle or Majorana fermion (MF) at its exotic state is its anti-particle may be beneficial as a qubit for topological quantum computing. We report experimental observations of Majorana fermions at their zero-energy bound state [...]
Benefits of a Decentralized AI
The benefits of AI can not be contested, but today’s AI solutions are based on the need of transporting the problem data to a centralized crunch facility on the internet, a so called cloud computing [...]
Automated Image Processing and Analysis Tools for DNA Origami Nanostructure Characterization by Atomic Force Microscopy
The DNA origami technique is highly utilized in the DNA nanotechnolgy field for its ability to self-assemble geometric architectures with near atomic precision. The structural fidelity will vary depending on the assembly reaction conditions. Therefore, [...]
Journal: TechConnect Briefs
Volume: TechConnect Briefs 2021
Published: October 18, 2021
Industry sectors: Advanced Materials & Manufacturing | Medical & Biotech
Topics: Advanced Manufacturing, Materials Characterization & Imaging
ISBN: 978-0-578-99550-2