In this paper we propose a new generic scheme CFLP(D ), intended as a logical and semantic framework for lazy Constraint Functional Logic Programming over a parametrically given co...
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Abstract. ESSENCE is a family of cryptographic hash functions, accepted to the first round of NIST's SHA-3 competition. This paper presents the first known attacks on ESSENCE....
When operating in partially-known environments, autonomous vehicles must constantly update their maps and plans based on new sensor information. Much focus has been placed on devel...
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...