Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion by Tursun Mamat, Abdukeram Dolkun, Runchang He, Yonghui Zhang, Zulipapar Nigat, Hanchen Du

“…This augmentation improves the fusion of features for shallow small targets and overall and partial features of long cracks, thereby alleviating the precision of the model in crack detection. …”
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Features of using methods and platforms for graphical modelling of business processes of enterprises in the context of digitalisation by V.О. Tkachuk, S.V. Obikhod, K.L. Pokhilchenko, A.O. Mikriukova, K.O. Demianchuk

“…Based on a comparison of the features and mechanisms for implementing methods of graphical modelling business processes, the author grouped them, which allowed us to identify, in our opinion, the most modern solutions for modelling business processes, namely, the BPMN and ARIS methods. …”
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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…Our methods exhibited superior performance compared to other state-of-the-art techniques for predicting transposon-derived piRNA. …”
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Development, deployment, and feature interpretability of a three-class prediction model for pulmonary diseases by Zhenyu Cao, Gang Xu, Yuan Gao, Jianying Xu, Fengjuan Tian, Hengfeng Shi, Dengfa Yang, Zongyu Xie, Jian Wang

“…Abstract Purpose To develop a high-performance machine learning model for predicting and interpreting features of pulmonary diseases. …”
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Theoretical Regulations and Institutional Features of Financing Arts by N. A. Burakov, O. A. Slavinskaya

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Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

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Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features by You Wu, Ke Tang, Chunzheng Wang, Hao Song, Fanfan Zhou, Ying Guo

“…Concerning the characterization of the employed Feature Genes, the models were interpreted, and the mechanisms of bioactive compounds with a narrow therapeutic index (NTI) can also be analyzed. …”
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Prediction of Pilot Performance During Startle Events Based on Neuropsychophysiological Features of Stress Resilience and Cognitive Task Scores by Mate Gambiraza, Sinisa Popovic, Matej Kurtak, Tanja Jovanovic, Seth Norrholm, Kresimir Cosic

“…Accordingly, this study investigates the potential of optimally selected stress resilience features and cognitive task scores to predict pilot performance during startle events. …”
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UAV Small Target Detection Model Based on Dual Branches and Adaptive Feature Fusion by Guogang Wang, Mingxing Gao, Yunpeng Liu

“…In order to solve the problem of small and dense targets in drone aerial images, a small target detection model based on dual branches and adaptive feature fusion is proposed. …”
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DFMMs: a deep feature mapping model for generating remote sensing sequence imagery by Xing Jin, Zi-yi Zhao

“…To address this issue, we perform a deep feature-mapping models (DFMMs) for generating remote sensing sequence imagery. …”
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Benchmarking ML in ADMET predictions: the practical impact of feature representations in ligand-based models by Gintautas Kamuntavičius, Tanya Paquet, Orestis Bastas, Dainius Šalkauskas, Alvaro Prat, Hisham Abdel Aty, Aurimas Pabrinkis, Povilas Norvaišas, Roy Tal

“…Additionally, we assess how well models trained on one dataset perform on another, offering practical insights for using external data in drug discovery.…”
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MSDNet: A Multi-Scale Feature Representation Network Model for Tunnel Bolt Detection by Xiufeng Wu, Xueli Li, Guangxing Cao, Chao Guo, Wei Chang, Zhao Wang, Shuliang Liu

“…We collected and organized a dataset of corroded bolts, and conducted comparative and ablation experiments to demonstrate the effectiveness of our proposed model. The results show that our model performs better in handling the challenges posed by this dataset.…”
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Specific features of structure formation during the development of the lithosphere of the Gulf of Aden (physical modeling) by E. P. Dubinin, A. L. Grokholsky

“…In our study, physical modeling was performed to investigate the segmentation mechanisms of the three parts and the formation of the marginal plateau and the island of Socotral. …”
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Refined Anchor-Free Model With Feature Enhancement Mechanism for Ship Detection in Infrared Images by Yunlong Gao, Chuan Wu, Ming Ren, Yang Feng

“…In order to handle the above problems, we propose a refined anchor-free model with feature enhancement mechanism for ship detection in infrared images. …”
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Winter Wheat Nitrogen Content Prediction and Transferability of Models Based on UAV Image Features by Jing Zhang, Gong Cheng, Shaohui Huang, Junfang Yang, Yunma Yang, Suli Xing, Jingxia Wang, Huimin Yang, Haoliang Nie, Wenfang Yang, Kang Yu, Liangliang Jia

“…In addition, through analysis of an 8-year long-term field experiment with rigorous data, the results indicated that (1) the RF and XGboost models incorporating both spectral and texture features achieved good prediction accuracy, with R² values of 0.98 and 0.99, respectively, RMSE values of 0.10 and 0.07, and MAE values of 0.07and 0.05; (2) models trained on Farmers’ Practice (FP) data showed superior transferability to Ecological Intensification (EI) conditions (R² = 0.98, RMSE = 0.08, and MAE = 0.05 for XGBoost), while EI-trained models performed less well when applied to FP conditions (R² = 0.89, RMSE = 0.45, and MAE = 0.35 for XGBoost). …”
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Dyssynchronous heart failure models in canines: New insights into electrocardiographic, echocardiographic and histological features by Han Jin, Shengwen Yang, Hao Huang, Sijing Cheng, Pengkang He, Sixian Weng, Min Gu, Hongxia Niu, Wei Hua, Yiran Hu, Hui Li

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Motor Fault Diagnosis Under Strong Background Noise Based on Parameter-Optimized Feature Mode Decomposition and Spatial–Temporal Features Fusion by Jingcan Wang, Yiping Yuan, Fangqi Shen, Caifeng Chen

“…To address this issue, this study introduces a high-performance fault diagnosis approach for mining motors operating under strong background noise by integrating parameter-optimized feature mode decomposition (WOA-FMD) with the RepLKNet-BiGRU-Attention dual-channel model. …”
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Clinical-radiomics hybrid modeling outperforms conventional models: machine learning enhances stratification of adverse prognostic features in prostate cancer by Minghan Jiang, Minghan Jiang, Zeyang Miao, Run Xu, Mengyao Guo, Xuefeng Li, Guanwu Li, Peng Luo, Su Hu, Su Hu

“…The best-performing radiomics model was combined with clinical features to build a hybrid model. …”
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Graph-Based Feature Crossing to Enhance Recommender Systems by Congyu Cai, Hong Chen, Yunxuan Liu, Daoquan Chen, Xiuze Zhou, Yuanguo Lin

“…Then, to learn as many useful features as possible for higher recommendation quality, a Convolutional Neural Network (CNN) and the Transformer model are used to parallelly learn local and global feature interactions. …”
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Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement by Oumayma Jouini, Mohamed Ould-Elhassen Aoueileyine, Kaouthar Sethom, Anis Yazidi

“…Our approach involves freezing the pre-trained model for feature extraction and adding a custom trainable CNN layer. …”
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