过去一年中添加的文章,按日期排序

一种适用于高山复杂气候条件下的加权掩膜云去除模型

吴仁哲, 刘国祥, 张瑞, 吕继超, 杨知涵, 曹华林… - 武汉大学学报(信息科学 … - ch.whu.edu.cn
14 天前 - … To address these issues, this study introduces a weighted mask cloud removal
model tailored for the complex alpine climate conditions. Methods: Targeting the stratocumulus …

A Cloud Removal Model for High-Mountain Canyon Terrain Under Weighted Mask Conditions

R WU, G LIU, R ZHANG, J LÜ, Z YANG, H CAO… - … and Information Science … - ch.whu.edu.cn
14 天前 - … To address these issues, this study introduces a weighted mask cloud removal
model tailored for the complex alpine climate conditions. Methods: Targeting the stratocumulus …

[HTML][HTML] Cefixime removal via WO3/Co-ZIF nanocomposite using machine learning methods

A Sheikhmohammadi, H Alamgholiloo, M Golaki… - Scientific Reports, 2024 - nature.com
26 天前 - … on the designs generated by the Response Surface Methodology (RSM) model in
the R … of the neural network model was carried out. For the design of the neural network, the …

ANN and Machine Learning based predictions of MRR in AWSJ Machining of CFRP composites

K Ramesha, N Santhosh, BA Praveena, C Manjunath… - 2024 - researchsquare.com
30 天前 - methods such as the Response Surface Methodology (… , material removal rate
(MRR), kerf width, and surface … activation function in artificial neural networks. This function is …

Free-field method for inverse characterization of finite porous acoustic materials using feed forward neural networks

M Müller-Giebeler, M Berzborn… - The Journal of the …, 2024 - pubs.aip.org
40 天前 - … The results show that the influence of the finite sample size is successfully removed
and … applications, or to calculate complex surface impedances or absorption coefficients. …

Advanced Optimization Techniques for CNC Machining: A Comparative Study of Genetic Algorithms, Simulated Annealing, and Particle Swarm Optimization

DA Majeed, M Yaseen, AJ Ghaffori… - … Robotic Applications …, 2024 - ieeexplore.ieee.org
49 天前 - … abord machine learning, neural networks, and particle swarm … was of 15% in material
removal rate and surface roughness was … Response surface methodology integrated with …

… removal of perfluorooctanoic acid from aqueous matrices using peanut husk-derived magnetic biochar: Statistical and artificial intelligence approaches, kinetics …

B Saawarn, B Mahanty, S Hait - Chemosphere, 2024 - Elsevier
51 天前 - … the response surface methodology (RSM) and the artificial intelligence (AI) …
responses (Alam et al., 2022; Ghaedi and Vafaei, 2017). One such tool is an artificial neural network

… hydrochloride adsorption by TBAOH-MXene: Prediction results based on backpropagation neural network-genetic algorithm and response surface methodology

M Lu, S Fang, Y Zhang, H Zheng, H Xie, C Zhou… - Process Safety and …, 2024 - Elsevier
54 天前 - neural network-genetic algorithm (BPNN-GA) and response surface methodology
(RSM) … After five cycles, the removal efficiency of CTC was still as high as 75.31 %, indicating …

Industry 4.0 with Modern Technology: Proceedings of the International Conference on Emerging trends in Engineering and Technology, Industry 4.0 (ETETI-2023)

S Sethi, M Mahmud, SK Pradhan, R Sethi - 2024 - books.google.com
55 天前 - … : an artificial neural network and regression modelling … 3D response surface plot of
TCP for different levels of w/b … many occasions, problems with disposal result in mounds that …

[Not quotable] The adsorption of Pb2+ and Ni2+ ions utilizing modified chitosan beads: A response surface methodology and artificial neural network modelling study

E Igberase, NT Sithole - EQA-International Journal of Environmental …, 2024 - eqa.unibo.it
57 天前 - … This work investigates the application of artificial neural networks (ANN) and
response surface methodology (RSM) in developing a technique for removing Pb 2+ and Ni 2+ …