Leveraging machine learning for data-driven building energy rate prediction by Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla

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A multivariate analysis of the early dropout using classical machine learning and local interpretable model-agnostic explanations by Thanh Hai Nguyen, Phuong Le, Tuyen Thanh Thi Nguyen, Anh Kim Su

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Creating a domestic platform for mathematical modelling and engineering analysis tools to solve practical problems related to the development and optimization of rocket and space t... by A. Sh. Kozaev, V. V. Mironov, A. S. Negodyaev, E. S. Tsirendorzhiev

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Numerical prediction of strength and temperature changes within cemented paste backfill considering barricade stability by Di Wu, Liang Liu, Erol Yilmaz, Shilong Zheng

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Hydrologic response and prediction of future water level changes in Qinghai Lake of Tibet Plateau, China by Haibin Wang, Jiahong Liu, Zhuoran Luo, Sana Nazli, Lu Shi

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Prediction of recurrence risk of cervical cancer after radiotherapy using multi-sequence MRI radiomics by Jie Chen, Lou Liu, Yi Fu, Lu Zhang, Shuyue Li, Juying Zhou, Chenying Ma

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A multi-dimensional student performance prediction model (MSPP): An advanced framework for accurate academic classification and analysis by V. Balachandar, K. Venkatesh

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T-cell receptor binding prediction: A machine learning revolution by Anna Weber, Aurélien Pélissier, María Rodríguez Martínez

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Predicting Quail Egg Quality Using Machine Learning Algorithms by BI Yildiz, K Eskioğlu, D Özdemir, M Akşit

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A Temperature Prediction Method for DC-Link Film Capacitor in Electric Vehicle by WU Chundong, LI Yun, ZHANG Jingyan

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Machine learning and Fuzzy logic fusion approach for osteoporosis risk prediction by Rabia Khushal, Dr. Ubaida Fatima

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Mapping soil drainage classes: Comparing expert knowledge and machine learning strategies by Danilo César de Mello, Nélida E.Q. Silvero, Bradley A. Miller, Nicolas Augusto Rosin, Jorge Tadeu Fim Rosas, Bruno dos Anjos Bartsch, Gustavo Vieira Veloso, Jean Jesus Macedo Novais, Renan Falcioni, Marcos Rafael Nanni, Marcelo Rodrigo Alves, Elpídio Inácio Fernandes-Filho, Uemeson José dos Santos, José Alexandre Melo Demattê

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Comparative analysis of machine learning techniques in metabolomic-based preterm birth prediction by Ying-Chieh Han, Jane Shearer, Chunlong Mu, Donna M. Slater, Suzanne C. Tough, Gavin E. Duggan

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Artificial potential field based motion planning for autonomous tractor-trailer vehicles by Ngoc Trong Hoang, Huu Viet Nguyen, Ngoc Duy Le, Huu Hai Ho, Tung Lam Nguyen

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Predicting bearing capacity of gently inclined bauxite pillar based on numerical simulation and machine learning by Deyu WANG, Defu ZHU, Biaobiao YU, Chen WANG

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Path following control of underground mining articulated vehicle based on the preview control method by MENG Yu, GAN Xin, BAI Guo-xing

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Identification and control of hydrothermal carbonisation process with energy consumption assessment by Riku-Pekka Nikula, Sajad Ahmadi, Velma Beri Kimbi Yaah, Hafiz Haq, Ville Tuomi, Mika Ruusunen

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Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical... by M. A. Melgarejo, A. Pérez, D. Ruiz, A. Casas, F. González, V. González de Lena Alonso

“…The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally. The ANN model achieves a prediction error of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>MAE</mi><mi>test</mi></msub><mo>=</mo><mrow><mo>(</mo><mn>0.04</mn><mo>±</mo><mn>0.06</mn><mo>)</mo></mrow><mo> </mo><mi>MPa</mi></mrow></semantics></math></inline-formula> for the instantaneous mechanical stress predictions, evaluated over the entire range of stress values (0 to 5.32 MPa) across the component structure. …”
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Biomarkers of Kidney Disease Progression in ADPKD by Ahmad Ghanem, Abdul Hamid Borghol, Fadi George Munairdjy Debeh, Stefan Paul, Bassel AlKhatib, Peter C. Harris, Pranav S. Garimella, Christian Hanna, Timothy L. Kline, Neera K. Dahl, Fouad T. Chebib

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Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) for assessing thyroid-associated ophthalmopathy activity by Huihui Wu, Qinglu Song, Ye Zhang, Ruiwen Cheng, Yuanyuan Li, Mengru Su, Xiaowen Zhang, Xinghong Sun

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