Recent studies have shown that various models can explain the emergence of complex networks, such as scale-free and small-world networks. This paper presents a different model to...
Neural networks use neurons of the same type in each layer but such architecture cannot lead to data models of optimal complexity and accuracy. Networks with architectures (number ...
— This paper explores a process-oriented approach to complex systems design, using massive fine-grained concurrency, mobile channels and mobile processes. The complex systems st...
Space time convolutional codes (STCCs) are an effective way to combine transmit diversity with coding. The computational complexity of designing STCCs generally increases exponent...
Kyungmin Kim, Hamid R. Sadjadpour, Rick S. Blum, Y...
In this paper, we present an algorithm for circuit partitioning with complex resource constraints in large FPGAs. Traditional partitioning methods estimate the capacity of an FPGA...