Machine learning-based prediction of specific energy consumption for cut-off grinding
author
Awan, Muhammad Rizwan
Rojas, Hernan A. Gonzalez
Hameed, Saqib
Riaz, Fahid
Hamid, Shahzaib
Hussain, Abrar
statement of authorship
Muhammad Rizwan Awan, Hernán A. González Rojas, Saqib Hameed, Fahid Riaz, Shahzaib Hamid, Abrar Hussain
source
Sensors
publisher
MDPI
journal volume number month
vol. 22, 19
year of publication
2022
pages
art. 7152
url
https://doi.org/10.3390/s22197152
subject term
tehisintellekt
tehisõpe
energiapoliitika
digitaalmajandus
tootmine
purustamine
keyword
artificial intelligence
machine learning
energy prediction
data-driven modeling
advanced manufacturing
intelligent grinding
ISSN
1424-8220
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/130124
https://www.scopus.com/record/display.uri?eid=2-s2.0-85139885667&origin=inward&txGid=b3d11365d1b64ae29a30205ed90409d8
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SENSORS-BASEL&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000868012200001
category (general)
Physics and astronomy
Engineering
Chemistry
Computer science
Biochemistry, genetics and molecular biology
Füüsika ja astronoomia
Tehnika
Keemia
Arvutiteadus
Biokeemia, geneetika ja molekulaarbioloogia
category (sub)
Physics and astronomy. Instrumentation
Engineering. Electrical and electronic engineering
Physics and astronomy. Atomic and molecular physics, and optics
Chemistry. Analytical chemistry
Computer science. Information systems
Biochemistry, genetics and molecular biology. Biochemistry
Füüsika ja astronoomia. Instrumentatsioon
Tehnika. Elektri- ja elektroonikatehnika
Füüsika ja astronoomia. Aatomi- ja molekulaarfüüsika ning optika
Keemia. Analüütiline keemia
Arvutiteadus. Infosüsteemid
Biokeemia, geneetika ja molekulaarbioloogia. Biokeemia
quartile
Q1
TalTech department
mehaanika ja tööstustehnika instituut
language
inglise
Reserch Group
Wear resistant composites and coatings