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John Scoville
Observed name:
Scoville, John
Institutions:
Thomson Reuters Foundation,
Imperial College London
Observed institutions:
Ames Research Center,
University of Kentucky,
Applied Materials (United States),
Thomson Reuters Foundation,
National Aeronautics and Space Administration,
Imperial College London,
San Jose State University,
Search for Extraterrestrial Intelligence,
Stanford University
show all 9
OpenAlex ID:
A5104456892
Earthquake precursors in the light of peroxy defects theory: Critical review of systematic observations
2021
·
Friedemann Freund
, Guy Ouillon
, et al.
·
The European Physical Journal Special Topics
·
81
PDF
Paradox of peroxy defects and positive holes in rocks Part II: Outflow of electric currents from stressed rocks
2015
·
John Scoville
, Jaufray Sornette
, et al.
·
Journal of Asian Earth Sciences
·
61
PDF
Mechanism of unipolar electromagnetic pulses emitted from the hypocenters of impending earthquakes
2021
·
Friedemann T. Freund
, Jorge Arturo Heraud
, et al.
·
The European Physical Journal Special Topics
·
26
Organic protomolecule assembly in igneous minerals
2001
·
Friedemann Freund
, Aaron Staple
, et al.
·
Proceedings of the National Academy of Sciences
·
16
Chamber matching across multiple dimensions utilizing Predictive Maintenance, Equipment Health Monitoring, Virtual Metrology and Run-To-Run control
2014
·
James Moyne
, Manjunath Yedatore
, et al.
·
ASMC proceedings
·
13
Infrared Emission from rocks in the Thermal Infrared (TIR) window
2021
·
John Scoville
, Friedemann T. Freund
·
The European Physical Journal Special Topics
·
7
Thomson: Continual Learning of Frontier Models for SovereignAI
2026
·
Chen, Shengzhuang
, Parker, Jerrod
, et al.
·
arXiv (Cornell University)
·
2
PDF
A Distributed Magnetometer Network
2014
·
Scoville, John
, Spritzer, John
, et al.
·
arXiv (Cornell University)
·
2
PDF
On Macroscopic Complexity and Perceptual Coding
2010
·
Scoville, John
·
arXiv (Cornell University)
·
2
PDF
Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models
2026
·
Scoville, John
, Chen, Shengzhuang
, et al.
·
arXiv (Cornell University)
·
1
PDF
Stochastic Time-Series Spectroscopy
2015
·
Scoville, John
·
arXiv (Cornell University)
·
1
PDF
A Little Confidence Goes a Long Way
2024
·
Scoville, John
, Gao, Shang
, et al.
·
arXiv (Cornell University)
PDF
Fast Autocorrelated Context Models for Data Compression
2013
·
Scoville, John
·
arXiv (Cornell University)
PDF
Bounding Lossy Compression using Lossless Codes at Reduced Precision
2012
·
Scoville, John
·
arXiv (Cornell University)
PDF
Critical Data Compression
2011
·
Scoville, John
·
arXiv (Cornell University)
PDF
On The Topology of a Boolean Function
2010
·
John Scoville
On Universal Complexity Measures
2010
·
Scoville, John
·
arXiv (Cornell University)
PDF
On The Topology of A Binary Sequence
2010
·
John Scoville
On The Topology of A Binary Code
2010
·
John Scoville
On Universal Complexities of Circuits
2010
·
John Scoville
Nature of the Organic Signature in Dust from the Interstellar Medium: Laboratory Analog Studies
2002
·
Minoru M. Freund
, Friedemann Freund
, et al.
·
NASA Technical Reports Server (NASA)
C-H Hot Bands in the Near-IR Emission Spectra of Leonids
2002
·
Friedemann Freund
, John Scoville
, et al.
·
NASA Technical Reports Server (NASA)
Organic Signature of Dust from the Interstellar Medium (ISM)
2001
·
Friedemann Freund
, Minoru M. Freund
, et al.
·
NASA Technical Reports Server (NASA)
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Works count:
23
Citation count:
212
H-index:
6
I10-index:
5
Year
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