Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Fikar P"'
This paper deals with the problem of inferential (soft) sensor design. The nonlinear character of industrial processes is usually the main limitation to designing simple linear inferential sensors with sufficient accuracy. In order to increase the in
Externí odkaz:
http://arxiv.org/abs/2308.02872
Autor:
Zahloom Nabhia Jasmine, Mohammad Risky Akbar Maulana, Mochammad Naufal Chaidar Maajid, Muhammad Ryzal Rivaldy, Raushan Fikar Aslam
Publikováno v:
Ekasakti Jurnal Penelitian dan Pengabdian, Vol 4, Iss 2 (2024)
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi permintaan listrik dan rata-rata tarif listrik PLN menggunakan analisis regresi multivariat. Data yang digunakan dalam penelitian ini meliputi data permintaan listrik, tarif
Externí odkaz:
https://doaj.org/article/4abda4d682fa447e957b8eb7872f4e43
We study the problem of data-based design of multi-model linear inferential (soft) sensors. The multi-model linear inferential sensors promise increased prediction accuracy yet simplicity of the model structure and training. The standard approach to
Externí odkaz:
http://arxiv.org/abs/2206.08961
Inferential (or soft) sensors are used in industry to infer the values of imprecisely and rarely measured (or completely unmeasured) variables from variables measured online (e.g., pressures, temperatures). The main challenge, akin to classical model
Externí odkaz:
http://arxiv.org/abs/2106.13503
Autor:
Pavel Fikar, Laura Alvarez, Laura Berne, Martin Cienciala, Christopher Kan, Hynek Kasl, Mona Luo, Zuzana Novackova, Sheyla Ordonez, Zuzana Sramkova, Monika Holubova, Daniel Lysak, Lyndsay Avery, Andres A Caro, Roslyn N Crowder, Laura A Diaz-Martinez, David W Donley, Rebecca R Giorno, Irene K Guttilla Reed, Lori L Hensley, Kristen C Johnson, Audrey Y Kim, Paul Kim, Adriana J LaGier, Jamie J Newman, Elizabeth Padilla-Crespo, Nathan S Reyna, Nikolaos Tsotakos, Noha N Al-Saadi, Tayler Appleton, Ana Arosemena-Pickett, Braden A Bell, Grace Bing, Bre Bishop, Christa Forde, Michael J Foster, Kassidy Gray, Bennett L Hasley, Kennedy Johnson, Destiny J Jones, Allison C LaShall, Kennedy McGuire, Naomi McNaughton, Angelina M Morgan, Lucas Norris, Landon A Ossman, Paollette A Rivera-Torres, Madeline E Robison, Kathryn Thibodaux, Lescia Valmond, Daniel Georgiev
Publikováno v:
PLoS ONE, Vol 19, Iss 12, p e0314992 (2024)
Biomedicine today is experiencing a shift towards decentralized data collection, which promises enhanced reproducibility and collaboration across diverse laboratory environments. This inter-laboratory study evaluates the performance of biocytometry,
Externí odkaz:
https://doaj.org/article/157fd77c97bf46799065c61b0bb60d22
We study approaches to robust model-based design of experiments in the context of maximum-likelihood estimation. These approaches provide robustification of model-based methodologies for the design of optimal experiments by accounting for the effect
Externí odkaz:
http://arxiv.org/abs/2011.06042
Autor:
Paulen, Radoslav, Fikar, Miroslav
This paper studies a dynamic real-time optimization in the context of model-based time-optimal operation of batch processes under parametric model mismatch. In order to tackle the model-mismatch issue, a receding-horizon policy is usually followed wi
Externí odkaz:
http://arxiv.org/abs/1907.04213
Autor:
Paulen, Radoslav, Fikar, Miroslav
This paper presents a scheme for dual robust control of batch processes under parametric uncertainty. The dual-control paradigm arises in the context of adaptive control. A trade-off should be decided between the control actions that (robustly) optim
Externí odkaz:
http://arxiv.org/abs/1906.08546
Publikováno v:
IEEE Access, Vol 11, Pp 110328-110341 (2023)
The paper presents applications of homomorphic cryptographic schemes in process control. Homomorphic encryption is a particular type of encryption that allows performing mathematical operations over encrypted data. Therefore the user can use third-pa
Externí odkaz:
https://doaj.org/article/d50356b8c5a64e679ee3b26e61f5f7cd
Publikováno v:
Journal of Advanced Pharmaceutical Technology & Research, Vol 14, Iss 1, Pp 2-5 (2023)
The aim of the study was to analyze the relationship between the level of knowledge and anxiety regarding the implementation of the COVID-19 vaccination in the community. The research was conducted in the Dulupi Health Center work area from March to
Externí odkaz:
https://doaj.org/article/0d4e5fa3ac8b439183772ae0b930dd81