A multi-model approach integrating whole-slide imaging and clinicopathologic features to predict breast cancer recurrence risk by Manu Goyal, Jonathan D. Marotti, Adrienne A. Workman, Graham M. Tooker, Seth K. Ramin, Elaine P. Kuhn, Mary D. Chamberlin, Roberta M. diFlorio-Alexander, Saeed Hassanpour

“…This method was trained and tested on 956 hematoxylin and eosin-stained whole-slide images of 950 ER+/HER2− breast cancer patients with corresponding clinicopathological features that had prior Oncotype DX testing. The model’s performance was evaluated using an internal test set of 192 patients from Dartmouth Health and an external test set of 405 patients from the University of Chicago. …”
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DBY-Tobacco: a dual-branch model for non-tobacco related materials detection based on hyperspectral feature fusion by Cheng Shen, Cheng Shen, Yuecheng Qi, Lijun Yun, Xu Zhang, Zaiqing Chen, Zaiqing Chen

“…Then the pseudo color image fusion and decorrelation contrast stretch methods were applied for image enhancement. The DBY-Tobacco model features a dual-branch backbone network and a BiFPN-Efficient-Lighting-Feature-Pyramid-Network (BELFPN) module for effective feature fusion. …”
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Machine learning-based estimation of CO2 footprint and environmental-mechanical performance of blended cement concrete by Felipe Vargas, Iván La Fé-Perdomo, Jorge A. Ramos-Grez, Ivan Navarrete

“…However, assessing their environmental performance often requires detailed data and time-intensive analyses. …”
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A Cascaded Ensemble Framework Using BERT and Graph Features for Emotion Detection From English Poetry by Praveen K. Kazipeta, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

“…This work performs feature fusion only in case of failed input samples. …”
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Advanced State-of-Health Estimation for Lithium-Ion Batteries Using Multi-Feature Fusion and KAN-LSTM Hybrid Model by Zhao Zhang, Runrun Zhang, Xin Liu, Chaolong Zhang, Gengzhi Sun, Yujie Zhou, Zhong Yang, Xuming Liu, Shi Chen, Xinyu Dong, Pengyu Jiang, Zhexuan Sun

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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…The experimental results demonstrate that SA3C-ID exhibits superior performance in comparison to other prevalent intrusion detection models. …”
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Integrating clinical features, inflammatory markers, and immune profiles: a Yunke-based nomogram model for rheumatoid arthritis prognosis by Zhen Wang, Yihao Li, Jingjing Zhao, Lin Wang, Zengyu Cheng, Fuzeng Zheng

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A novel ensemble model for multi-temporal forest vegetation classification: integrating spectral-temporal features and topographic constraints by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang

“…Spectral and temporal dimensions were jointly encoded to enhance feature representation, and an ensemble learning strategy was introduced to improve model robustness and adaptability. …”
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A Novel Hybrid Model for Brain Ischemic Stroke Detection Using Feature Fusion and Convolutional Block Attention Module by Ahmad Abumihsan, Amani Yousef Owda, Majdi Owda, Mobarak Abumohsen, Lampros Stergioulas, Mohammad Ahmad Abu Amer

“…The hybrid feature extraction leverages the strengths of two pre-trained models, DenseNet121 and MobileNetV3, through feature fusion to provide a comprehensive representation of brain CT images. …”
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Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

“…We created a synthetic dataset of 1000 samples using realistic feature ranges that mimic the Rif data region to test model performance and conduct sensitivity analysis. …”
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Construction and validation of a prognostic nomogram model integrating machine learning-pathomics and clinical features in IDH-wildtype glioblastoma by Yaomin Li, Pei Ouyang, Zongliao Zheng, Jiapeng Deng, Aishun Guo, Weiwei Wang, Yawei Liu, Yuping Peng, Yankai Liao, Xiran Wang, Hai Wang, Zhaojun Wang, Zhitai Mo, Jianming Weng, Haiyan Xv, Xiaoxia Zheng, Junlu Liu, Yajuan Wang, Yongfu Cao, Guanglong Huang, Xian Zhang, Songtao Qi

“…Results Ten pathomics features were identified using the PRS model. An association between the PRS, tumor location, and molecular characteristics was observed. …”
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Influence of China's new urbanization on agricultural carbon performance and its collaborative development path by Miao He, Ruyi Sun, Xin Chen, Mouyuan Fan, Zhiguo Chen, Jingdong Xu, Chao Liu

“…The study found that the influence of new urbanization on agricultural carbon performance presents an inverted U-shaped feature at different dividing points. …”
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A short investigation of the effect of the selection of human brain atlases on the performance of ASD's classification models by Naseer Ahmed Khan, Xuequn Shang

“…Our findings emphasize the need for standardized approaches to atlas selection and highlight future research directions, including the integration of novel atlases, advanced data augmentation techniques, and end-to-end deep-learning models. This study provides valuable insights into optimizing fMRI-based ASD diagnosis and underscores the importance of interpreting atlas-specific features for an improved understanding of brain connectivity in ASD.…”
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Development and validation of a prognostic model for predicting survival and immunotherapy benefits in melanoma based on metabolism-relevant genes by Xiaoru Pan, Shiyao Zhou, Ning Mao, Fengming Yao, Yajun Guo, Wenming Zhou, Shengxiu Liu

“…Pathological features were extracted using the ResNet50 deep learning framework and Cellprofiler software, and feature selection was performed using elastic regression and univariate Cox analysis to obtain 13 pathological features related to the MRGs prognostic model. …”
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Model-free current control solution employing intelligent control for enhanced motor drive performance by Muhammad Usama, Jaehong Kim

“…By employing a data-driven approach with fewer input features, the proposed scheme reduces the computational burden during training while maintaining high control performance. …”
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Presenting the internal evaluation model on the performance of the banking industry based on the data theory method of the foundation by Zahra Ramzanpour Osmavandani, mehdi Rouholamini, Shahrbanoo Gholipour

“…Abstract The purpose of this research is to provide a model of the impact of internal marketing on the performance of the banking industry based on the data-based theory method. …”
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Machine Learning Techniques in Chronic Kidney Diseases: A Comparative Study of Classification Model Performance by Nguyen Dong Phuong, Nguyen Trung Tuyen, Vu Thi Thai Linh, Nghi N Nguyen, Thanh Q Nguyen

“…After data processing, we applied the polynomial technique to generate additional features, allowing the models to be better generalized. …”
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MATLAB Simulink-Based Modelling and Performance Analysis of District Heating Substations for Renewable Energy Integration by Gyula Richárd Kiss, Miklós Horváth, Zoltán Szánthó

“…Sustainable and energy-efficient district heating systems are essential for reducing carbon emissions and improving building energy performance. This study presents a MATLAB (Version: 2024b) Simulink-based modelling and performance analysis approach for evaluating district heating substations, focusing on lowering the primary return temperature to support renewable energy integration. …”
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Performance Comparison of Different Pre-Trained Deep Learning Models in Classifying Brain MRI Images by Onur Sevli

“…In this study, the performance of the pre-trained Vgg-16, ResNet50, Inception v3 models in classifying 253 brain MR images were evaluated. …”
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ColdstartCPI: Induced-fit theory-guided DTI predictive model with improved generalization performance by Qichang Zhao, Haochen Zhao, Linyuan Guo, Kai Zheng, Yajie Li, Qiao Ling, Jing Tang, Yaohang Li, Jianxin Wang

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