Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Benjamin R. Mitchell"'
Publikováno v:
The American Journal of Pathology. 191:1709-1716
The need for huge data sets represents a bottleneck for the application of artificial intelligence. Substantially fewer annotated target lesions than normal tissues for comparison present an additional problem in the field of pathology. Organic brain
Publikováno v:
Procedia Manufacturing. 48:586-592
The use of abrasive waterjets (AWJ) to machine metal surfaces is prevalent through-out industry. AWJ requires the purchase and disposal of costly abrasive particles which increases manufacturing costs and environmental-footprint. This motivates the e
Autor:
Yuto Yokoyama, Benjamin R. Mitchell, Ali Nassiri, Brad L. Kinsey, Yannis P. Korkolis, Yoshiyuki Tagawa
Integrated photoelasticity is investigated for a soft material subjected to a three-dimensional stress state. In the experiment, a solid sphere is pressed against a gelatin gel (Young's modulus is about 4.2 kPa) that deforms up to 4.5 mm depending on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5b7e4465924d0b13265845226c99fa2
Publikováno v:
Sustainability
Volume 13
Issue 21
Sustainability, Vol 13, Iss 12275, p 12275 (2021)
Volume 13
Issue 21
Sustainability, Vol 13, Iss 12275, p 12275 (2021)
Abrasive waterjet (AWJ) cutting is a manufacturing technique, which uses a high-speed waterjet as the transport medium for abrasive particles to erode and cut through metal workpieces. The use of abrasives has significant environmental impacts and le
Publikováno v:
Journal of Fluid Mechanics. 867:300-322
The transient force exerted by a low-speed liquid droplet impinging onto a flat rigid surface is investigated experimentally. The measurements employ a high-sensitivity piezo-electric sensor, along with a high-speed camera, and cover four decades in
Autor:
Benjamin R. Mitchell
Though initially outclassed by more computationally efficient machine learning algorithms, neural network–based deep learning strategies have come of age with modern implementations and hardware and are now capable of addressing a range of previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9817f8f21d604a426c49c3d9c1129cc
https://doi.org/10.1016/b978-0-323-67538-3.00003-8
https://doi.org/10.1016/b978-0-323-67538-3.00003-8
Autor:
Tanishq Abraham, Ognjen Arandjelović, Peter D. Caie, Stanley Cohen, Neofytos Dimitriou, Michael Donovan, Gerardo Fernandez, Rajarsi Gupta, Richard Levenson, Bahram Marami, Benjamin R. Mitchell, Daniel A. Orringer, Anil V. Parwani, Marcel Prastawa, Abishek Sainath Madduri, Joel Haskin Saltz, Richard Scott, Austin Todd, John E. Tomaszewski, Jack Zeineh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f2ed0750b3ebf7c5cace024278c2097
https://doi.org/10.1016/b978-0-323-67538-3.01002-2
https://doi.org/10.1016/b978-0-323-67538-3.01002-2
Publikováno v:
Medical Imaging 2020: Ultrasonic Imaging and Tomography.
In this work, we present a machine learning method to guide an ultrasound operator towards a selected area of interest. Unlike other automatic medical imaging methods, ultrasound imaging is one of the few imaging modalities where the operator’s ski
Publikováno v:
International Journal of Impact Engineering. 121:157-171
The plastic flow and anisotropy of a low-carbon steel (AISI 1018) across a range of strain-rates is probed using compression experiments. Material models are then calibrated from these results. The strain-rates examined were 10−3 /s, 1 /s and 3.5
Publikováno v:
Procedia Manufacturing. 10:730-736
Impacting water droplets are capable of eroding steam turbine blades, high speed aircraft and even serve as a machining operation. In this latter process, high velocity (∼100m/s) water droplets impact a solid surface under conditions in which the a