Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Samuel H. Huddleston"'
Autor:
Nathan Z. Dau, Jacob E. Resch, Samuel H. Huddleston, Kristy B. Arbogast, Xavier D. Thompson, Lee F. Gabler, Jeffrey Richard Crandall, David Lessley
Publikováno v:
Annals of Biomedical Engineering. 48:2599-2612
Wearable sensors that accurately record head impacts experienced by athletes during play can enable a wide range of potential applications including equipment improvements, player education, and rule changes. One challenge for wearable systems is the
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering. 24:384-399
The use of standardized anthropomorphic test devices and test conditions prevent current vehicle development and safety assessments from capturing the breadth of variability inherent in real-world occupant responses. This study introduces a methodolo
Autor:
Samuel H. Huddleston
Publikováno v:
INFORMS Analytics Body of Knowledge ISBN: 9780990615361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f897bbbc9d66efdf0b160b10933e47
https://doi.org/10.1287/abok.2021.07
https://doi.org/10.1287/abok.2021.07
Autor:
Lee F, Gabler, Samuel H, Huddleston, Nathan Z, Dau, David J, Lessley, Kristy B, Arbogast, Xavier, Thompson, Jacob E, Resch, Jeff R, Crandall
Publikováno v:
Annals of biomedical engineering. 48(11)
Wearable sensors that accurately record head impacts experienced by athletes during play can enable a wide range of potential applications including equipment improvements, player education, and rule changes. One challenge for wearable systems is the
Autor:
Samuel H. Huddleston, Gerald G. Brown
Publikováno v:
INFORMS Analytics Body of Knowledge. :231-274
Publikováno v:
WSC
Counter-Threat Finance Intelligence (CTFI) is a discipline within the U.S. intelligence enterprise that illuminates and prosecutes terrorist financiers and their supporting networks. Relying on voluminous, disparate financial data, efficient and accu
Publikováno v:
Journal of Business Research. 68:1810-1818
This study compares the performance of several simple top-down forecasting methods for forecasting noisy geographic time series to the performance of the three methods most commonly used for this problem: naive methods, Holt–Winters (exponential) s
Autor:
Samuel H. Huddleston, Donald E. Brown
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 39:1307-1315
Criminal gangs, insurgent groups, and terror networks demonstrate observable preferences in selecting the sites where they commit their crimes. Accordingly, police departments, military organizations, and intelligence agencies seek to learn these pre
Autor:
Samuel H. Huddleston, Donald E. Brown
Publikováno v:
2013 Winter Simulations Conference (WSC).
Publikováno v:
2013 Winter Simulations Conference (WSC).