Cost-sensitive learning is a popular paradigm to address class-imbalance learning (CIL) problem.Traditional cost-sensitive learning approaches always solve CIL problem by assigning a constant higher training error penalty for all minority instances than that of majority instances, but ignore the significance of location information.Therefore, sever
This review focuses on the role of long-range connectivity as one element of brain structure that is of key importance for the functional-anatomical organization of the cortex.In this Walkers context, we discuss the putative guiding principles for mapping brain function and structure onto the cortical surface.Such mappings reveal a high-degree of f
The football team training algorithm (FTTA) is a new metaheuristic algorithm that was proposed in 2024.The FTTA has better performance but faces challenges such as poor convergence accuracy CHILL PILLS and ease of falling into local optimality due to limitations such as referring too much to the optimal individual for updating and insufficient pert
Considering the operation Bike Parts - Pedals - Parts characteristics of the high-speed PBN airway, we propose an aircraft agent structural model and a basic algorithm flow of decision-making by Multi-agent technique.According to the constraint of safe separation and speed with the aircrafts, making use of the car-following theory, the deceleration