Exact(2)
The present study deals with aluminium metal matrix composites with multiple reinforcement showing improved mechanical and tribological properties.
Multiagent Router Throttling is a novel approach to defend against DDoS attacks where multiple reinforcement learning agents are installed on a set of routers and learn to throttle or rate-limit traffic towards a victim server.
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The flexural behaviour of a composite beam (e.g. a reinforced concrete beam) with multiple reinforcements under cyclic loading is analysed through a fracture mechanics-based theoretical model which considers a cracked beam subjected to an external bending moment and the crack bridging reactions due to the reinforcements.
Kool, W., Gershman, S. J. & Cushman, F. A. Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.
W. Kool, Gershman, S. J., and Cushman, F. A., "Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems"., Psychol Sci, vol. 28, no. 9, pp. 1321-1333, 2017.
Moreover, the developed constitutive law is applicable to porous materials and composites with multiple reinforcements and porosities.
Beside this, they are applicable for porous materials and composites with multiple reinforcements and porosities of different shapes and distributions.
Aluminium matrix composites with multiple reinforcements (hybrid AMCs) are finding increased applications because of improved mechanical and tribological properties and hence are better substitutes for single reinforced composites.
Aluminium metal matrix composites with multiple reinforcements (hybrid metal matrix composites) have great potentials of satisfying recent demands of advanced engineering applications due to their improved mechanical properties such as hardness, stiffness, ultimate tensile strength, toughness etc.
The capsule consists of a complex system of circularly and radially arranged collagen fibres and is strengthened by multiple reinforcements, including the superior glenohumeral complex (SGHL), the MGHL, and the IGHL.
In effect, the multiple reward compliance protocol approach models "catch them being good" clinical approaches that stress providing high rates of reinforcement for appropriate behavior [ 21- 23].
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