Variation of nano-ZnO/SBR modified asphalt features under photo-oxidative aging and optimization of the evaluation indexes based on rheological properties and chemical structure by Shengqian Zhao, Qinglong You, Jianming Ling, Jiake Zhang, Ekeoma Bridget Chineche, Jiaxing Wang

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A Spectral Interpretable Bearing Fault Diagnosis Framework Powered by Large Language Models by Panfeng Bao, Wenjun Yi, Yue Zhu, Yufeng Shen, Haotian Peng

“…In this work, we present a novel, interpretable fault diagnosis framework that integrates spectral feature extraction with large language models (LLMs). …”
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Symbolic Regression-Based Modeling for Aerodynamic Ground-to-Flight Deviation Laws of Aerospace Vehicles by Di Ding, Qing Wang, Qin Chen, Lei He

“…This paper proposes methods for modelling this correlation that combine feature extraction and symbolic regression. …”
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Group feature calibration for sound event detection by Yanzhen Ren, Wuyang Liu, Chenyu Liu, Tingting Zhu

“…This approach effectively recalibrates the features, significantly improving the performance of various SED models on both two sub-tasks. …”
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Feature recommendation strategy for graph convolutional network by Jisheng Qin, Xiaoqin Zeng, Shengli Wu, Yang Zou

“…In addition, the presence of features with low correlation to nodes can likewise limit the learning ability of the model. …”
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Ecological features of mangroves as indicators of seawater intrusion by Suyadi , M. Basyuni, R. Amukti, C. Damayanti, D. Stokes, A. Mubaraq, Y.I. Rahmila

“…This study aimed to determine mangroves ecological features that can serve as indicators of seawater intrusion.METHODS: A geographic information system and geo-electric method were used, and remote sensing, vegetation survey, sample collection, and interview survey were performed.FINDINGS: Seawater intrusion is the major problem affecting groundwater quality in coastal areas, especially mall islands. …”
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Application of the balanced scorecard and the cost-benefit model for evaluate of social projects by I. V. Solntsev

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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

“…Compared to comparable systems without feature selection, feature resampling, and optimization methods, the results demonstrate that employing optimized XGBoost along with grid search in conjunction with SelectKBest and SMOTE strategy has resulted in greater performance, with an 89% R2 score. …”
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Features of University Teachers’ Communicative-Speaking Competence by Olga Korniyaka

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Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications by Xiaoying Liao, Chunhua Li, Qunyan Liu, Wang Xia, Zhenglin Liu, Jiamao Zhu, Wei Hu, Qionghua Hong

“…Model performance was assessed using metrics such as the area under the receiver operating characteristic curve (AUC). …”
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YogiCombineDeep: Enhanced Yogic Posture Classification Using Combined Deep Fusion of VGG16 and VGG19 Features by Arun Kumar Rajendran, Sibi Chakkaravarthy Sethuraman

“…The results show that the proposed approach is effective at attaining excellent performance in yogic posture classification. Performance comparisons with the most recent models have also been listed.…”
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Leveraging explainable artificial intelligence with ensemble of deep learning model for dementia prediction to enhance clinical decision support systems by Mohamed Medani, Ghada Moh. Samir Elhessewi, Mohammed Alqahtani, Somia A. Asklany, Sulaiman Alamro, Da’ad Albalawneh, Menwa Alshammeri, Mohammed Assiri

“…Furthermore, the feature selection process is performed by implementing the naked mole‐rat algorithm (NMRA) model. …”
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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

“…The experimentation of the EATBP-ODHOA model is performed under the indoor object detection dataset. …”
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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

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Novel hybrid data-driven modeling based on feature space reconstruction and multihead self-attention gated recurrent unit: applied to PM2.5 concentrations prediction by Xiaoxin Yue, Yulong Bai, Qinghe Yu, Lin Ding, Wei Song, Wenhui Liu, Huhu Ren, Qi Song

“…Abstract In response to the problem of neglecting the periodic and global characteristics of sequence data when predicting PM2.5 concentrations via machine learning models, a PM2.5 concentrations prediction model based on feature space reconstruction and multihead self-attention gated recurrent unit (FSR-MSAGRU) is proposed in this study. …”
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A fake news detection model using the integration of multimodal attention mechanism and residual convolutional network by Ying Lu, Naiwei Yao

“…Building on traditional convolutional neural networks, the model incorporates multi-head attention mechanisms to enhance the extraction of key features from multimodal data such as text, images, and videos. …”
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A Combinatory Analytical and Finite Element Approach for Comparing Electromagnetic Performance in IPM and SPM Synchronous Motors by Trinh Truong Cong, Bao Doan Thanh, Dinh Bui Minh, Nguyen Gia Minh Thao, Vuong Dang Quoc

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Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods by Muhammad Sohail Ibrahim, Saheed Ademola Bello, Yunsang Kwak, Minseok Kim, Shujaat Khan

“…Further analysis using t-SNE, PCA, and antimicrobial peptide (AMP) prediction tools confirms the robustness and effectiveness of the selected ACPs. Furthermore, performance comparisons using the proposed sequence filtering technique reveal that it surpasses the baseline LSTM and RNN-based sequence generation models by 2.95% and 14.11%, respectively. …”
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KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning by Huimin Luo, Huimin Luo, Hui Yang, Hui Yang, Ge Zhang, Ge Zhang, Jianlin Wang, Jianlin Wang, Junwei Luo, Chaokun Yan, Chaokun Yan, Chaokun Yan

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Satellite retrievals of total phosphorus in Taihu Lake using Sentinel-2 images and an optimized XGBoost model by Jiayu Cui, Shiqiang Wu, Jiangyu Dai, Wanyun Xue, Yue Zhang, Jiayi You, Xueyan Lv, Xuan Yang

“…The model employed single bands and band ratios at various resolutions as input features, optimized model parameters through Bayesian optimization, and incrementally introduced variables with substantial contributions to evaluate and determine the optimal feature combination. …”
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