Zobrazeno 1 - 10
of 392
pro vyhledávání: '"Gaussian regression"'
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 1, Pp 207-215 (2024)
Dengue fever is one of the dangerous diseases that can threaten human life if not treated seriously. Dengue hemorrhagic fever is one of the health problems that exist in the community where the number of sufferers tends to increase and the spread is
Externí odkaz:
https://doaj.org/article/514a1a3823b44964a2a3c9aae1f124a8
Publikováno v:
Water, Vol 16, Iss 20, p 3001 (2024)
Ammonia nitrogen (NH3-N) is a key water quality variable that is difficult to measure in the water treatment process. Data-driven soft computing is one of the effective approaches to address this issue. Since the detection cost of NH3-N is very expen
Externí odkaz:
https://doaj.org/article/87fce98573134cb1b47e26dbccf75d7d
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 7, Iss , Pp 100458- (2024)
Exploration of smart sustainable renewable energy material with the aid of artificial intelligence is gaining momentum as next-generation research. The advantage of high throughput screening of the material is not only increasing the efficiency of th
Externí odkaz:
https://doaj.org/article/3bac4879580a41a5907a0390aa3ea431
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 11, Pp 19839-19857 (2023)
The inverse model based multi-objective evolutionary algorithm (IM-MOEA) generates offspring by establishing probabilistic models and sampling by the model, which is a new computing schema to replace crossover in MOEAs. In this paper, an active learn
Externí odkaz:
https://doaj.org/article/bd87b90c15f54eb1a10e4f2c80acd12a
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Through the integration of multimodal data fusion technology and computer AI technology, people’s needs for intelligent life can be better met. This paper introduces the alignment and perception algorithm for multimodal data fusion, which is based
Externí odkaz:
https://doaj.org/article/4ab8b5b8c2634e12b9485bca77c7797c
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The study proposed and compared the biased estimators for the Poisson-Inverse Gaussian regression model to deal with correlated regressors. The limitations of each biased estimator are also discussed. Additionally, some biasing parameters for the Ste
Externí odkaz:
https://doaj.org/article/d0bdd41576784683840e4ee6e607c3c8
Autor:
Gao Honggang
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
As global interactions and trade expand, the relevance of Business English has similarly increased, enhancing the scope of its application. Consequently, there is a growing interest in the research of automated translation technologies for Business E
Externí odkaz:
https://doaj.org/article/8dae167b6bed44ba8c6a9d2a0e92260a
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 5, Pp 1515-1531 (2023)
Precise and credible runoff forecasting is extraordinarily vital for various activities of water resources deployment and implementation. The neoteric contribution of the current article is to develop a hybrid model (ANFIS-GPR) based on adaptive neur
Externí odkaz:
https://doaj.org/article/4c9d91a3ce3144d4ae439e9546d55304
Publikováno v:
Alexandria Engineering Journal, Vol 70, Iss , Pp 231-245 (2023)
The Poisson Inverse Gaussian Regression model (PIGRM) is used for modeling the count datasets to deal with the issue of over-dispersion. Generally, the maximum likelihood estimator (MLE) is used to estimate the PIGRM estimates. In the PIGRM, when the
Externí odkaz:
https://doaj.org/article/931b518571964ffc93c2e14013ee69d8
Publikováno v:
Energies, Vol 17, Iss 6, p 1272 (2024)
Accurate estimation of Li-ion battery capacity is critical for a battery management system (BMS). This paper proposes an innovative method which combines a convolutional neural network and incremental capacity analysis (ICA). In the present approach,
Externí odkaz:
https://doaj.org/article/aea2d610a16947eabb4be1d96ac4a07c