Chatbots are far more predictable in their responses than you might expect. That's fine for research or coding, but it's a ...
The paper of this simulator can be found here: https://arxiv.org/abs/2511.09022. This is the upgraded version of my previous work RadHARSimulator V1: https://github ...
Abstract: This research involves the implementation of a chaos-based pseudo-random number generator (PRNG) based on Hardware Description Language (HDL) and implementation over FPGA and ASIC platforms.
Our study addresses a fundamental challenge in the field of neural network modeling, offering critical insights into the training of recurrent neural networks (RNNs) that simulate cognitive processes.
Falisse A, Serrancoli G, Dembia C, Gillis J, Jonkers J, De Groote F. 2019 Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can ...
School of Mechanics and Engineering, Liaoning Technical University, Fuxin, Liaoning 123000, P. R. China New Energy Research Center, Liaoning Technical University ...
Securing wireless communications in internet-of-things (IoT) requires both generation and synchronization of random numbers in real-time. However, resource constraints on an IoT device limit the use ...
Abstract: We propose and implement a quantum random number generator chip based on vacuum fluctuation. The chip with PD is only 5mm×4.6mm in size. When 1550nm, 10mW laser is input, and the ...
Realization of spiking neural network (SNN) hardware with high energy efficiency and high integration may provide a promising solution to data processing challenges in future internet of things (IoT) ...
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