A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework by Mengji Yang, Haiqing Zhang, Xi Yu, Aicha Sekhari Seklouli, Abdelaziz Bouras, Yacine Ouzrout

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Research on Regression Analysis of Service Life of Concrete Coating Based on Cox Survival Model by ZHANG Hui - li, LIU Ze, ZHANG Wei - dong

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Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections by R., Kikawa, M, N. Ngungu, D., Ntirampeba, A., Ssematimba

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Predicting compressive strength of concrete at elevated temperatures and optimizing its mixture proportions by Jinjun Xu, Han Wang, Wenjun Wu, Lang Lin, Yong Yu

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A new grey seasonal multivariate forecasting model and its application in energy consumption by Jianming Jiang, Yandong Ban, Ming Zhang, Chiwen Qu

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Dynamic Modeling of Multi-category Jointing for the Autonomous-railRapid Tram and Real Vehicle Validation by HUANG Ruipeng, YUAN Xiwen, HU Yunqing, ZHANG Xinrui, ZHANG Sha, LI Xiaoguang

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Wave Run-Up Distance Prediction Combined Data-Driven Method and Physical Experiments by Peng Qin, Hangwei Zhu, Fan Jin, Wangtao Lu, Zhenzhu Meng, Chunmei Ding, Xian Liu, Chunmei Cheng

“…Results demonstrate that the GMM-GBR combined model achieves a coefficient of determination <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> greater than 0.91, outperforming a conventional, non-clustered GBR model. …”
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Predicting Sugarcane Yield Through Temporal Analysis of Satellite Imagery During the Growth Phase by Julio Cezar Souza Vasconcelos, Caio Simplicio Arantes, Eduardo Antonio Speranza, João Francisco Gonçalves Antunes, Luiz Antonio Falaguasta Barbosa, Geraldo Magela de Almeida Cançado

“…This study aims to evaluate the effectiveness of various modeling approaches, including a heteroskedastic gamma regression model, Random Forest, and Artificial Neural Networks, in predicting sugarcane yield based on satellite-derived vegetation indices and environmental variables. …”
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A rolling bearing life prediction method based on multi-task gated networks by Liuyang SONG, Chuanhao ZHENG, Ye JIN, Tianjiao LIN, Changkun HAN, Huaqing WANG

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A comparison of ASCAT wind measurements and the HIRLAM model over the Baltic Sea by Jekaterina Služenikina, Aarne Männik

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Big data processing and analysis platform based on deep neural network model by Sheng Huang

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Multiscale finite element procedure to predict the effective elastic properties of woven composites by Lyazid Bouhala, Samet Ozyigit, Abdelghani Laachachi, Ahmed Makradi

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Predicting the temporal distribution of origin-destination traffic demand using machine learning by Keyvan Pourhassan, Mojgan Pourhassan, Sekhar Somenahalli

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Comparative analysis of the performance of mixing rules for density prediction of simple chemical mixtures by Babalola F. U., Akanji I. O., Oyegoke T.

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Predict the performance of hydrogen fueled vehicle and their refueling station through the data analysis based approach by Vikas Khare, Monica Bhatia

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Wavelet transform couple long short-term memory neural network for profiling of Ganga water pollution and its prediction approaches by S. Singh, S.K. Singh, R. Singh

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A study on method for bearing residual life prediction based on optimized Bray-Curtis dissimilarity and PSO algorithms by LI Quanfu, JIA Chen, SONG Dongli, XU Xiao

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Predicting of Temporal-Spatial Sand Dunes Transition Caused by Marine Storms (Case Study: The Coast of Makran, Iran) by Soleiman PirouzZadeh, Mahmood Khosravi, Samad Fotohi

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Research on predicting the thermocompression deformation behavior of Mg–Li matrix composite using machine learning and traditional techniques by Dandan Li, Xiaoyu Hou, Yangfan Liu, Linhao Gu, Jinhui Wang, Jiaxuan Ma, Xiaoqiang Li, Zhi Jia, Qichi Le, Dexue Liu, Xincheng Yin

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Prediction of the viscoelastic parameters of asparagus and optimization of the harvesting robot gripping force based on a back-propagation neural network by Yuan Fahui, Wang Xiaochan, Shi Yinyan, Wang Lei, Zhang Xiaolei, Lu Wei, Zheng Enlai

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