Cited by 40Advanced Sensor and Control SystemsAdvanced Control Systems OptimizationFault Detection and Control Systems

Artificial Neural Network control of thermoelectrically-cooled microfluidics using computer vision based on IR thermography

Rizkin, Benjamin A., Popovich, Karina, Hartman, Ryan L.·2019·Computers & Chemical Engineering

Integrity signals

Registry

Crossref · 10.1016/j.compchemeng.2018.11.016

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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  • Researchers are experimenting with supervised learning and thermal imaging systems to rapidly identify promising catalysts and chemical reactions.

    “Researchers are also experimenting with supervised learning and thermal imaging systems to rapidly identify promising catalysts and chemical reactions [140,686], as described in Section 2.1.1.”

    From Tackling climate change with machine learning (2023) · cites this paper as [686]

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Authors
Rizkin, B. A., Popovich, K., & Hartman, R. L.
Affiliations
New York University (US)
Corresponding author
Hartman, Ryan L.
Venue
Computers & Chemical Engineering
Publisher
Elsevier BV
Published
2019-02
Volume
121
Pages
584-593
ISSN
0098-1354 (ISSN-L)
OpenAlex
W2903167826
Cited by
40
References
42
Citations by year
2026: 2 · 2025: 1 · 2024: 3 · 2023: 9 · 2022: 9 · 2021: 6 · 2020: 9 · 2019: 1
FWCI
2.48
Type
journal article
Language
en
Open access
closed
Locations
Computers & Chemical Engineering (publishedVersion)
Funders
National Science Foundation (CBET-1701393)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Advanced Sensor and Control Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
Keywords
neural network control, thermoelectric cooling, microfluidics, infrared thermography, computer vision, non-contact temperature measurement, thermal management, adaptive control, reference tracking, PID controller comparison

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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