Results 71 to 80 of about 138,448 (219)
Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process
The main subject of the paper is a problem of capability assessment of a production process for manufacturing products fulfilling certain requirements.
A. Kujawinska+5 more
doaj
Computing fuzzy rough approximations in large scale information systems [PDF]
Rough set theory is a popular and powerful machine learning tool. It is especially suitable for dealing with information systems that exhibit inconsistencies, i.e. objects that have the same values for the conditional attributes but a different value for
Asfoor, Hasan+7 more
core +1 more source
Covering rough sets based on neighborhoods: An approach without using neighborhoods [PDF]
Rough set theory, a mathematical tool to deal with inexact or uncertain knowledge in information systems, has originally described the indiscernibility of elements by equivalence relations.
Zhu, Ping
core +2 more sources
A Dominance‐Based Rough Set Approach for an Enhanced Assessment of Seasonal Influenza Risk [PDF]
Fatima‐Zohra Younsi+4 more
openalex +1 more source
The 2030 Agenda for Sustainable Development of the United Nations General Assembly focuses on economic development, poverty cessation, environmental sustainability, and good governance at all levels, including peace and safety.
Couto Ayrton Benedito Gaia do+1 more
doaj +1 more source
Challenges in Capitalizing Knowledge in Innovative Product Design Process. [PDF]
Capitalizing on company’s knowledge is increasingly being recognized in a private organizations environment since managing knowledge productivity is considered a source of competitive advantage.
Grundstein, Michel+2 more
core
Can hierarchical predictive coding explain binocular rivalry? [PDF]
Hohwy et al.’s (2008) model of binocular rivalry (BR) is taken as a classic illustration of predictive coding’s explanatory power. I revisit the account and show that it cannot explain the role of reward in BR.
Haas, Julia
core
The handling of missing attribute values remains a challenging and problematic issue in data analysis. Imputation techniques are key procedures used to deal with missing attribute values.
Ahmet Topal+2 more
doaj +1 more source
Polarizations of J/\psi and \psi' in hadroproduction at Tevatron in the k_t factorization approach
We present a calculation for the polarizations of $J/\psi$ and $\psi'$ produced in the hadron collisions at the Fermilab Tevatron. Various color octet channels including ${}^1S_0^{(8)}$, ${}^3P_J^{(8)}$, and ${}^3S_1^{(8)}$ as well as contributions from $
B. A. Kniehl+32 more
core +1 more source
Lipinski’s Rule of Five and Ghose filter are empirical guidelines for evaluating the drug-likeness of a compound, suggesting that orally active drugs typically fall within specific ranges for molecular descriptors such as hydrogen bond donors and ...
Grzegorz Miebs+3 more
doaj +1 more source