表状态 发表于 2025-3-27 00:51:46
Design of Decimation-Based Sequence Generators over Extended Fieldsrocessor) instead of over the binary field .(2) have been considered. Once the migration from .(2) into .(2.) has been accomplished, a study of decimation-based sequence generators has been proposed. Definition of new decimation criteria as well as their software implementation and corresponding analysis complete the work.钻孔 发表于 2025-3-27 01:52:08
A Note on Some Past and Present Advances in Neuroscience: A Personal Perspectiveost prominent Italian cyberneticist of his generation. Luigi was a member of the Institute and we had many talks about stochastic processes underlying neuron firing. Later we exchanged visits in Italy and in Buffalo, where Luigi gave us a seminar at the Center for Theoretical Biology “On the First P我不死扛 发表于 2025-3-27 08:46:25
Solving Towers of Hanoi and Related Puzzleszzles are intimately connected, we define a sequence of graphs, the ., for our puzzles. To create puzzles for all these graphs, we need to generalize another puzzle, Spin-Out, and cross the generalized Towers puzzles with the the generalized Spin-Out puzzles. We show how to solve these combined puzz脾气暴躁的人 发表于 2025-3-27 10:05:15
http://reply.papertrans.cn/24/2334/233323/233323_34.pngFlatter 发表于 2025-3-27 14:44:48
http://reply.papertrans.cn/24/2334/233323/233323_35.png断断续续 发表于 2025-3-27 18:21:15
http://reply.papertrans.cn/24/2334/233323/233323_36.pngTEN 发表于 2025-3-27 23:59:06
A Stochastic Gompertz Model with Jumps for an Intermittent Treatment in Cancer Growthon process is influenced by jumps that occur according to a probability distribution, producing instantaneous changes of the system state. In this context a jump represents an application of the therapy that leads the cancer mass to a return state randomly chosen. In particular, constant and exponendefray 发表于 2025-3-28 02:27:17
http://reply.papertrans.cn/24/2334/233323/233323_38.pngblithe 发表于 2025-3-28 09:47:44
Physical Activity Classification Using Resilient Backpropagation (RPROP) with Multiple Outputsficial neural networks model, this paper explains novel architecture of neural network that can classify physical activity monitoring, recorded from 9 subjects. This work also presents a continuation of benchmarking on various defined tasks, with a high number of activities and personalization, tryiCOW 发表于 2025-3-28 12:41:32
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