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Titlebook: Intelligent Systems Applications in Software Engineering; Proceedings of 3rd C Radek Silhavy,Petr Silhavy,Zdenka Prokopova Conference proce

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樓主: 決絕
21#
發(fā)表于 2025-3-25 05:47:48 | 只看該作者
Predictive Controller Based on Feedforward Neural Network with Rectified Linear Units,ally valid linear sub-models. The sub-models are obtained from a neural model with the rectifier activation function in hidden neurons. Simulation example is given to demonstrate proposed solution - neural model design and predictive controller application.
22#
發(fā)表于 2025-3-25 08:31:38 | 只看該作者
23#
發(fā)表于 2025-3-25 13:10:31 | 只看該作者
Development Method of Building a Modular Simulator of Quantum Computations and Algorithms,quantum algorithm is given, and the time of operation of the algorithm with the determination of the probability of a particular result at the output is theoretically described. A method for constructing a modular simulator of quantum computations and algorithms, its architecture and the interaction
24#
發(fā)表于 2025-3-25 18:29:26 | 只看該作者
A Technique of Workload Distribution Based on Parallel Algorithm Structure Ontology,chniques of a workload relocation. Yet very few studies consider the workload relocation in fog-computing environment emphasizing the increase of a search space and the distances between the computational nodes. In this paper a new workload distribution technique, based on ontological analysis of al
25#
發(fā)表于 2025-3-25 21:22:23 | 只看該作者
26#
發(fā)表于 2025-3-26 00:34:19 | 只看該作者
27#
發(fā)表于 2025-3-26 08:22:36 | 只看該作者
Efficient Sensory Data Transformation: A Big Data Approach, processes to perform analytics with ease and in precise form. The data variety and veracity are some of the major problems that add enough complexity to data, creating the overall hindrance to an effective big data analytics process. The proposed work targets the data staging phase in a big data cl
28#
發(fā)表于 2025-3-26 12:29:51 | 只看該作者
29#
發(fā)表于 2025-3-26 12:56:38 | 只看該作者
30#
發(fā)表于 2025-3-26 19:56:26 | 只看該作者
Periodic Formation Within a Large Group of Mobile Robots in Conditions of Limited Communications,uires the formation of a specific configuration. Different approaches to solving the formation task in groups of mobile robots are considered. It is shown that the complexity of group’s control increases with the number of robots. Moreover, in large groups of robots, the linear dimensions of the sys
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