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Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
The central question is: Given a temporal gene expression profile of a real gene regulatory network, how can the attractors be robustly identified in the presence of huge amount of uncertainty?
Universal Swarm Computing by Nanorobots
It is mathematically shown here that a swarm of BAs has the universal function approximation property and can accurately approximate functions.
Robust Control of Nanoscale Drug Delivery System in Atherosclerosis: A Mathematical Approach
This paper proposes a mathematical approach for robust control of a nanoscale drug delivery system in treatment of atherosclerosis.
Descriptive evaluation of students using fuzzy approximate reasoning
The current descriptive evaluation method is based on four-valued logic.
A knowledge-based intelligent system for control of dirt recognition process in the smart washing machines
In this paper, we propose an intelligence approach based on fuzzy logic to modeling human intelligence in washing clothes.
