Modeling and analysis of infectious diseases based on behavioral game theory on two-layered networks under media coverage. [PDF]
Wang J, Zeng R, Chang X.
europepmc +1 more source
Model‐based fault diagnosis in closed‐loop safety‐critical chemical reactors: An experimental study
Abstract This experimental study investigates fault detection and estimation in a continuous stirred‐tank reactor (CSTR) system under closed‐loop feedback control, including an analysis of different manipulative inputs for temperature regulation. A novel fault diagnosis approach is proposed, combining residual signal analysis and T2 statistic for real ...
Pu Du, Benjamin Wilhite, Costas Kravaris
wiley +1 more source
Investigating topological descriptor and Gibb's energy for semiconducting carbon allotrope through advanced curve fitting model. [PDF]
Almohanna NE+5 more
europepmc +1 more source
An algorithm for equilibrium problems with mixed-type fixed point constraints. [PDF]
Guo L, Agwu IK, Ishtiaq U, Alnowibet KA.
europepmc +1 more source
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus+4 more
wiley +1 more source
Classification of possible solutions regarding business engineering problems by using complex Pythagorean fuzzy rough WASPAS approach. [PDF]
Mahmood T+5 more
europepmc +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source
Fixed points of multivalued convex contractions with application. [PDF]
Khan AR+3 more
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Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio+3 more
wiley +1 more source
Can Generative AI and ChatGPT Break Human Supremacy in Mathematics and Reshape Competence in Cognitive-Demanding Problem-Solving Tasks? [PDF]
Kaya D, Yavuz S.
europepmc +1 more source