GRIPE
发表于 2025-3-25 04:21:41
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竞选运动
发表于 2025-3-25 10:00:14
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arrhythmic
发表于 2025-3-25 13:15:20
P. U. Arifovhing technique of OWL-S (Ontology Web Language for Services) process models in order to reduce costs and execution time. We mapped our distributed discovery of OWL-S process models by developing a real application based on Gamma Distribution; a technique used to decrease the bandwidth consumption an
薄荷醇
发表于 2025-3-25 17:47:48
U. A. Arifov,A. Kh. Kasymovhing technique of OWL-S (Ontology Web Language for Services) process models in order to reduce costs and execution time. We mapped our distributed discovery of OWL-S process models by developing a real application based on Gamma Distribution; a technique used to decrease the bandwidth consumption an
Bravura
发表于 2025-3-25 21:48:46
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Stress-Fracture
发表于 2025-3-26 02:02:24
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分散
发表于 2025-3-26 05:05:43
Kh. Dzhurakulov,R. R. Rakhimov,N. V. Printseva given the fact that the time spent on rework does not count to the improvement of the project. Predicting and controlling rework causes is a valuable asset for companies, which maintain closed policies on choosing team members and assigning activities to developers. However, a trending growth in de
Digitalis
发表于 2025-3-26 10:39:33
U. A. Arifov,R. R. Rakhimov,Kh. Dzhurakulov given the fact that the time spent on rework does not count to the improvement of the project. Predicting and controlling rework causes is a valuable asset for companies, which maintain closed policies on choosing team members and assigning activities to developers. However, a trending growth in de
deceive
发表于 2025-3-26 16:31:37
U. A. Arifov,R. R. Rakhimov,Kh. Dzhurakulovtion problems (.) that are distributed among multiple agents. Imagine a large University that includes many departments. The weekly schedule of classes is generated by each department, scheduling its classes and teachers for the whole semester. A weekly schedule is a typical constraint satisfaction
取消
发表于 2025-3-26 17:32:09
M. K. Abdullaeva,A. Kh. Ayukhanov applications include the Internet, large scale disaster relief and network centric warfare. In such systems, large heterogeneous coordinating entities exchange uncertain information to obtain and increase situation awareness. Uncertain and possibly conflicting sensor data is shared across a peer-to