Zobrazeno 1 - 10
of 1 491
pro vyhledávání: '"probability matrix"'
Autor:
Yu. A. Brychkov, N. V. Savischenko
Publikováno v:
Учёные записки Казанского университета. Серия Физико-математические науки, Vol 166, Iss 3, Pp 306-319 (2024)
The influence of the number of phase quantization levels L on the capacity CM,L of a communication channel with additive white Gaussian noise (AWGN) was studied in a communication system using QPSK (4-PSK).
Externí odkaz:
https://doaj.org/article/658bc1eb0ff74e9298c81799a00813ec
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The coupling coordination of digitalization and green development has become an inevitable requirement for building a new development pattern and achieving high-quality development of China’s economy. Based on the panel data of 284 Chinese
Externí odkaz:
https://doaj.org/article/048f8266f4a9451baefcdc58391ea478
Publikováno v:
Underground Space, Vol 16, Iss , Pp 94-105 (2024)
This paper proposes an efficient method for quantifying the stratigraphic uncertainties and modeling the geological formations based on boreholes. Two Markov chains are used to describe the soil transitions along different directions, and the transit
Externí odkaz:
https://doaj.org/article/73a52417f9504547ac9ce3671795aff1
Publikováno v:
Tikrit Journal of Administrative and Economic Sciences, Vol 20, Iss 66, part 2 (2024)
Cotton is a fibrous material derived from the seed pods of the cotton plant (Gossypium). It is a natural fiber extensively utilized in the textile industry for the manufacturing of items like clothing, linens, and other fabric-based products. Valued
Externí odkaz:
https://doaj.org/article/b4b83fe5bd7841a699c6b9dce7ae98c9
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 6, Pp 51-57 (2023)
Dynamic target tracking is a crucial technique for autonomous underwater vehicles (AUV), enabling key operations such as target detection and reconnaissance. Standard approaches for tracking maneuvering targets often involve the interacting multiple
Externí odkaz:
https://doaj.org/article/4bf87bec2bef488391f9e960e87b8a65
Autor:
Saad Sh. Sammen, Ozgur Kisi, Mohammad Ehteram, Ahmed El-Shafie, Nadhir Al-Ansari, Mohammad Ali Ghorbani, Shakeel Ahmad Bhat, Ali Najah Ahmed, Shamsuddin Shahid
Publikováno v:
Environmental Sciences Europe, Vol 35, Iss 1, Pp 1-16 (2023)
Abstract Rainfall is crucial for the development and management of water resources. Six hybrid soft computing models, including multilayer perceptron (MLP)–Henry gas solubility optimization (HGSO), MLP–bat algorithm (MLP–BA), MLP–particle swa
Externí odkaz:
https://doaj.org/article/6fcaa6591d5a4ea5abf4987408f0cc59
Publikováno v:
Tongxin xuebao, Vol 44, Pp 25-35 (2023)
Aiming at the problem that for maneuvering target tracking, the accuracy of tracking degraded in interacting multiple model algorithms due to the fixed model sets and the fixed transition probability matrix, a low-complexity ATPM-VSIMM algorithm was
Externí odkaz:
https://doaj.org/article/a903cea5b024430bac43d07329e32208
Autor:
Shi Mengyi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The use of a network platform for the online correction of minors helps to optimize the correction effect. In this paper, we build a network platform for minor community correction, employ TAN Bayes to measure the corrective mental state, and utilize
Externí odkaz:
https://doaj.org/article/5f3604767a214bd2b3e46381ab5238e9
Autor:
Peng Peilan, Wang Juan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The article establishes a blended teaching model of SPOC flipped classroom in colleges and universities, and uses probability matrix decomposition and time effect techniques to personalize the recommendation of combined learning resources. Taking the
Externí odkaz:
https://doaj.org/article/137ad0651c0d476f9b50d3017f329bdf
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This study proposes a teaching resource recommendation method (TRRDLMF) based on deep learning and probabilistic matrix decomposition, aiming to improve teaching resource recommendation’s accuracy and personalization level. The study combines hybri
Externí odkaz:
https://doaj.org/article/39325e6e591246338369ee68481ecd5f