State of Health Prediction for Lithium-Ion Batteries Using Transformer–LSTM Fusion Model by Xunfei Cai, Tundong Liu

“…With the widespread use of lithium-ion batteries in various application fields, accurate prediction of battery state of health (SOH) has become an important research topic to ensure battery performance and safety. To improve the accuracy of SOH prediction, this paper proposes a novel approach that combines multidimensional feature extraction and a transformer–LSTM fusion model. …”
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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

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Performance of machine learning-based models to screen obstructive sleep apnea in pregnancy by Jingyu Wang, Wenhan Xiao, Haoyang Hong, Chi Zhang, Min Yu, Liyue Xu, Jun Wei, Jingjing Yang, Yanan Liu, Huijie Yi, Linyan Zhang, Rui Bai, Bing Zhou, Long Zhao, Xueli Zhang, Xiaozhi Wang, Xiaosong Dong, Guoli Liu, Shenda Hong

“…Finally, we transformed the MoMOSA into a new questionnaire with a nomogram. MoMOSA, with 13 features, achieved the highest performance among the traditional questionnaires and built models.…”
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Performance Assessment of a Coupled Circulation–Wave Modelling System for the Northwest Atlantic by Colin J. Hughes, Jinyu Sheng, William Perrie, Guoqiang Liu

“…Several error statistics are used to evaluate the model performance, including correlation (R), root mean square error (RMSE), normalized model variance of model errors (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>γ</mi><mn>2</mn></msup></semantics></math></inline-formula>) and relative bias (RB). …”
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An in vivo avian model of human melanoma to perform rapid and robust preclinical studies by Loraine Jarrosson, Stéphane Dalle, Clélia Costechareyre, Yaqi Tang, Maxime Grimont, Maud Plaschka, Marjorie Lacourrège, Romain Teinturier, Myrtille Le Bouar, Delphine Maucort‐Boulch, Anaïs Eberhardt, Valérie Castellani, Julie Caramel, Céline Delloye‐Bourgeois

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Prediction of Power System Ramping Demand Using Meteorological Features by Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu

“…To enhance performance under extreme weather conditions, a method for defining extreme weather indicators is proposed, establishing thresholds based on historical meteorological data distributions and creating binary features for each time step to denote extreme weather. …”
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Detection of Disease Features on Retinal OCT Scans Using RETFound by Katherine Du, Atharv Ramesh Nair, Stavan Shah, Adarsh Gadari, Sharat Chandra Vupparaboina, Sandeep Chandra Bollepalli, Shan Sutharahan, José-Alain Sahel, Soumya Jana, Jay Chhablani, Kiran Kumar Vupparaboina

“…We finetuned RETFound and compared its performance with the widely used ResNet-50 model, using single-task and multitask modes. …”
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Study on the predictive value of preoperative CT features for the mitotic index of GIST based on the nomogram by Ren Yingzheng, Jiang Linlin, Yang Yang, An Junjie, Dong Yonghong

“…The Nomogram prediction model that incorporates preoperative CT features of tumor size, liquefaction/necrosis, and morphological characteristics can effectively predict the number of mitotic figures in gastrointestinal stromal tumors, and can perform effective preoperative risk stratification to guide clinical decision-making and personalized treatment.…”
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A comparative analysis of LSTM, GRU, and Transformer models for construction cost prediction with multidimensional feature integration by Tang Shi, Kazuya Shide

“…This study investigates these models’ performance for construction cost prediction using a multidimensional feature framework. …”
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Immune gene features and prognosis in colorectal cancer: insights from ssGSEA typing by Anwen Huang, Jinxiu Wu, Jiakuan Wang, Chengwen Jiao, Yunfei Yang, Huaiwen Xiao, Li Yao

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THE ROLE OF FINANCIAL PERFORMANCE IN DIFFERENCE OF TWO MANUFACTURER’S BRAND VALUE by Alexandra SZEKERES, Ivett BARTA, Gergő TÖMÖRI

“…Our survey research is assembled according to Keller’s Brand Equity Model. During our research we have confirmed our hypothesis that people filling the survey consider brand to be a more important purchasing aspect in case of Mercedes-Benz than Nestlé cereals; purchasing Nestlé cereals respondents consider brand as the most important purchasing aspect out of the given list; respondents choose analysed brands contra unknown ones which has the same features and price. …”
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Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection by Zhen Gao, Xiaowen Chen, Jingning Xu, Rongjie Yu, Heng Zhang, Jinqiu Yang

“…The proposed CT-Net (CLIP-Transformer Network) achieves an AUC (Area Under the Curve) of 0.892, a 36% accuracy improvement over the prevalent CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory) end-to-end model, reaching state-of-the-art performance. Experiments show that the CLIP pre-trained model more accurately extracts facial and behavioral features from driver video frames, improving the model’s AUC by 7% over the ImageNet-based pre-trained model. …”
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Robust Adversarial Example Detection Algorithm Based on High-Level Feature Differences by Hua Mu, Chenggang Li, Anjie Peng, Yangyang Wang, Zhenyu Liang

“…For each test image, a counterpart image with the same predicted label is randomly selected from the training dataset. The high-level features of both images are extracted using an encoder and compared through a similarity measurement model. …”
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Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…Extensive evaluation using five distinct performance metrics demonstrates that the proposed model consistently outperforms existing methods, achieving the highest accuracy across all datasets.…”
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Development of safety performance measures for different crashes severity at urban roundabouts by Taqwa I. Alhadidi, Mohammad Nour Al-Marafi, Asma Alazimi

“…Data was collected from 16 roundabouts over a period of seven years, including traffic crashes, geometric characteristics, and traffic counts. Different models were tested, and the Negative Binomial (NB) model was found to be the best fit for traffic crashes frequency. …”
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Edge- and Color–Texture-Aware Bag-of-Local-Features Model for Accurate and Interpretable Skin Lesion Diagnosis by Dichao Liu, Kenji Suzuki

“…A non-rigid reconstruction strategy ensures that traditional features enhance rather than constrain the model’s performance. …”
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Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model by Bhargav Mallampati, Abid Ishaq, Furqan Rustam, Venu Kuthala, Sultan Alfarhood, Imran Ashraf

“…With 2D-UNet segmentation features, the model achieves a 64&#x0025; accuracy. …”
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MEF-AlloSite: an accurate and robust Multimodel Ensemble Feature selection for the Allosteric Site identification model by Sadettin Y. Ugurlu, David McDonald, Shan He

“…The model employs an accurate and robust multimodal feature selection technique for the small training set size of only 90 proteins to improve predictive performance. …”
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Dynamic Feature Extraction and Semi-Supervised Soft Sensor Model Based on SCINet for Industrial and Transportation Processes by Jun Wang, Changjian Qi, Xing Luo, Shihao Deng, Qi Lei

“…The semi-supervised soft measurement model SSCI-XGBoost was established. The effectiveness of dynamic feature transfer and model performance improvement was verified on the industrial process dataset.…”
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RoBERTa-Based Multi-Feature Integrated BiLSTM and CNN Model for Ceramic Review Analysis by LiHua Yang, Jun Wang, WangRen Qiu

“…These results demonstrate that the proposed multi-feature fusion model significantly enhances sentiment classification performance.…”
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