Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model by Fuyu Guo, Shiwei Sun, Xiaoqian Deng, Yue Wang, Wei Yao, Peng Yue, Shaoduo Wu, Junrong Yan, Junrong Yan, Junrong Yan, Xiaojun Zhang, Xiaojun Zhang, Xiaojun Zhang, Yangang Zhang, Yangang Zhang, Yangang Zhang

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Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows by Feifeng Jiang, Jun Ma

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A Hybrid EMD-ICA-DLinear Multi-View Representation Model for Accurate Satellite Orbit Prediction in Space by Yang Guo, Boyang Wang, Zhengxu Zhao

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Early identification of mild cognitive impairment: an innovative model using ocular biomarkers by Lingjing Zhang, Lingjing Zhang, Yanwei Wang, Yuming Liu, Zi Ye, Zhaohui Li

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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

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Physics-informed machine learning for automatic model reduction in chemical reaction networks by Joseph Pateras, Colin Zhang, Shriya Majumdar, Ayush Pal, Preetam Ghosh

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Spatiotemporal Pattern Analysis and Prediction of Carbon Storage Based on Land Use and Cover Change: A Case Study of Jiangsu Coastal Cities in China by Ge Shi, Yutong Wang, Jingran Zhang, Jinghai Xu, Yu Chen, Wei Chen, Jiahang Liu

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Data driven frequency ratio modeling for iron-ore exploration using aster and aeromagnetic datasets in parts of Nasarawa, Northcentral Nigeria by Ayokunle Adewale Akinlalu, Oluwarotimi Samuel Olowe, Daniel Oluwafunmilade Afolabi, Olabanji Odunayo Aladejana

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A model of piston impact and vibration for internal combustion engine noise reduction by A. F. SEYBERT, J. F. HAMILTON, P. A. HAYES

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Dietary salt reduction and cardiovascular disease rates in India: a mathematical model. by Sanjay Basu, David Stuckler, Sukumar Vellakkal, Sukumar Vellakkal, Shah Ebrahim

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Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging by Youngjin Han, Inwhee Joe

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Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002–2016) by Getnet Bogale Begashaw, Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta

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Enhancing Time Series Product Demand Forecasting With Hybrid Attention-Based Deep Learning Models by Xuguang Zhang, Pan Li, Xu Han, Yongbin Yang, Yiwen Cui

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Machine Learning Approaches for the Prediction of Displaced Abomasum in Dairy Cows Using a Highly Imbalanced Dataset by Zeinab Asgari, Ali Sadeghi-Sefidmazgi, Abbas Pakdel, Saleh Shahinfar

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Urban Air Quality Shifts in China: Application of Additive Model and Transfer Learning to Major Cities by Yuchen Ji, Xiaonan Zhang, Yueqian Cao

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A Lyapunov Optimization-Based Approach to Autonomous Vehicle Local Path Planning by Ziba Arjmandzadeh, Mohammad Hossein Abbasi, Hanchen Wang, Jiangfeng Zhang, Bin Xu

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Cooperative maximum adhesion tracking control for multi-motor electric locomotives by Leiting Zhao, Yongxiang Wang, Kan Liu, Liran Li, Jingyuan Zhan, Qingliang Liu

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Efficient Machine Learning Models for Solar Radiation Prediction Using Ensemble Techniques: A Case Study in Low-Rainfall Arid Climates by Jimmy Aurelio Rosales Huamani, Uwe Rojas Villanueva, Christian Leonardo Rosales Ventocilla, Jose Luis Castillo Sequera, Jose Manuel Gomez Pulido

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Comparative evaluation of feature reduction methods for drug response prediction by Farzaneh Firoozbakht, Behnam Yousefi, Olga Tsoy, Jan Baumbach, Benno Schwikowski

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A Predictive Method for Greenhouse Soil Pore Water Electrical Conductivity Based on Multi-Model Fusion and Variable Weight Combination by Jiawei Zhao, Peng Tian, Jihong Sun, Xinrui Wang, Changjun Deng, Yunlei Yang, Haokai Zhang, Ye Qian

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