Comparative Analysis of Improved YOLO v5 Models for Corrosion Detection in Coastal Environments by Qifeng Yu, Yudong Han, Xinjia Gao, Wuguang Lin, Yi Han

“…To improve the detection performance of YOLO v5 for corrosion image features, this study investigates two enhanced models: EfficientViT-NWD-YOLO v5 and Gold-NWD-YOLO v5. …”
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Selecting Appropriate Model Complexity: An Example of Tracer Inversion for Thermal Prediction in Enhanced Geothermal Systems by Hui Wu, Zhijun Jin, Su Jiang, Hewei Tang, Joseph P. Morris, Jinjiang Zhang, Bo Zhang

“…The inverted aperture models failed to resolve necessary flow and transport features, leading to a biased thermal performance prediction. …”
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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…Finally, the Dandelion Optimizer (DO) method adjusts the hyperparameter range of the LSTM-AE method optimally and results in better performance of classification. The experimental validation of the ODMVII-MOA model is verified under the indoor OD dataset and the outcomes are determined regarding different measures. …”
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A Hybrid parallel deep learning model for efficient intrusion detection based on metric learning by Shaokang Cai, Dezhi Han, Xinming Yin, Dun Li, Chin-Chen Chang

“…As the attackers exploit the vulnerabilities of popular third-party components to invade target websites, further improving the classification accuracy of malicious network traffic is the key to improving the performance of  abnormal traffic detection. Existing intrusion detection systems may suffer from incomplete feature extraction and low classification accuracy. …”
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

“…An adaptive feature matching network aligns task-relevant feature maps and convolutional layers between source (EEG) and target (fNIRS) domains. …”
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Comparing the performance of screening surveys versus predictive models in identifying patients in need of health-related social need services in the emergency department. by Olena Mazurenko, Adam T Hirsh, Christopher A Harle, Joanna Shen, Cassidy McNamee, Joshua R Vest

“…The performance of the ML EHR-based model also differed by race and ethnicity.…”
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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Moreover, the proposed method shows superior estimation accuracy and performance compared to existing machine learning models.…”
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Attention-driven hybrid deep learning and SVM model for early Alzheimer’s diagnosis using neuroimaging fusion by Arjun Kidavunil Paduvilan, Godlin Atlas Lawrence Livingston, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…This study addresses these gaps by introducing an innovative methodology that combines SVM with Deep Learning (DL) to improve the classification performance of AD. Deep learning models extract high-level imaging features which are then concatenated with SVM kernels in a late-fusion ensemble. …”
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Improving the Performance of Answers Ranking in Q&A Communities: A Long-Text Matching Technique and Pre-Trained Model by Siyu Sun, Yiming Wang, Jiale Cheng, Zhiying Xiao, Daqing Zheng, Xiaoling Hao

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Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explaina... by Fatma Hilal Yagin, Yasin Gormez, Fahaid Al-Hashem, Irshad Ahmad, Fuzail Ahmad, Luca Paolo Ardigò

“…SHapley Additive exPlanations (SHAP), an XAI method, was used to clinically explain the decisions of the optimal model in BC prediction.ResultsThe results revealed that variable selection increased the performance of ML models in BC classification, and the optimal model was obtained with the logistic regression (LR) classifier after support vector machine (SVM)-SHAP-based feature selection. …”
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Enhancing the performance of neurosurgery medical question-answering systems using a multi-task knowledge graph-augmented answer generation model by Ting Pan, Jiang Shen, Man Xu

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Interactive visualization of large molecular systems with VTX: example with a minimal whole-cell model by Maxime Maria, Valentin Guillaume, Simon Guionnière, Nicolas Dacquay, Cyprien Plateau–Holleville, Vincent Larroque, Vincent Larroque, Jean Lardé, Jean Lardé, Yassine Naimi, Jean-Philip Piquemal, Jean-Philip Piquemal, Jean-Philip Piquemal, Guillaume Levieux, Nathalie Lagarde, Stéphane Mérillou, Matthieu Montes, Matthieu Montes

“…This approach significantly reduces memory usage and enables real-time visualization and manipulation of large molecular systems. Performance benchmarks against VMD, PyMOL, and ChimeraX using a 114-million-bead Martini minimal whole-cell model demonstrate VTX’s efficiency, maintaining consistent frame rates even under interactive manipulation on standard computer hardware. …”
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Temporal pyramid attention‐based spatiotemporal fusion model for Parkinson's disease diagnosis from gait data by Xiaomin Pei, Huijie Fan, Yandong Tang

“…Experiments are performed on the PhysioBank data set, and the results show that the proposed PAST model outperforms other state‐of‐the‐art methods on classification results. …”
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Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students by Yagyanath Rimal, Yagyanath Rimal, Navneet Sharma

“…It also investigates the performance of various machine learning models in predicting the multiclass grading outcomes for these students. …”
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Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion by Wenhao Cui, Yubin Lan, Jingqian Li, Lei Yang, Qi Zhou, Guotao Han, Xiao Xiao, Jing Zhao, Yongliang Qiao

“…The SVM model based on multi-source feature fusion achieved the highest apple yield estimation accuracy in small-scale orchard sample plots (R² = 0.942, RMSE = 12.980 kg). …”
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Visual Tracking Based on Discriminative Compressed Features by Wei Liu, Hui Wang

“…One of the main challenges is to design a good appearance model to describe the target’s appearance. In this paper, we propose a novel visual tracking method, which uses compressed features to model target’s appearances and then uses SVM to distinguish the target from its background. …”
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FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES by A. S. Solonar, P. A. Khmarski

“…The target dynamics model for tracking of spiraling reentry vehicles is considered. …”
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Modeling and Up-Gradation of Concentric Circular Shaped Patch Antenna to Array Antenna with the Improved Performance for 5G Millimeter- Wave Communication by Azeem Mirani, Sanjha Rehman Memon, Mumtaz Qabulio, Qazi Ijaz, Imran Khan Jatoi

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A comparative performance study on the development of hybrid extreme gradient boosting models for predicting rock layer subsidence in subsea gold mine by Weijun Liu, Zhixiang Liu, Meng Wang, Shuangxia Zhang

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GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

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