Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...
architectures at multiple levels of abstraction, encompassing both hardware and software. It has five modes of operation (Design, Model Validation, Build Simulation, Simulate Syste...
Paul S. Coe, Fred W. Howell, Roland N. Ibbett, Lau...
Distributed wireless sensor networks have problems on detecting and preventing malicious nodes, which always bring destructive threats and compromise multiple sensor nodes. Theref...
Abstract—The main challenge when implementing cryptographic algorithms in hardware is to protect them against attacks that target directly the device. Two strategies are customar...