A Lightweight and High-Accuracy Model for Pavement Crack Segmentation by Yuhui Yu, Wenjun Xia, Zhangyan Zhao, Bin He

“…Lastly, a dynamic combined loss function is employed during training to further improve model attention on crack edge details. To validate the model performance, we trained and tested it on the Crack500 dataset and applied the trained model directly to the AsphaltCrack300 dataset. …”
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An Innovative Approach for Calibrating Hydrological Surrogate Deep Learning Models by Amir Aieb, Antonio Liotta, Alexander Jacob, Iacopo Federico Ferrario, Muhammad Azfar Yaqub

“…A comparative analysis is conducted across multiple SDL architectures, including LSTM, GRU, TCN, and ConvLSTM, over 50 epochs to better evaluate the beneficial effect of the transformed parameters on model performance and accuracy. Results indicate that adjusted parameter calibration improves model performance in all cases, with better alignment to Wflow ground truth during both wet and dry periods. …”
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Chinese Image Captioning Based on Deep Fusion Feature and Multi-Layer Feature Filtering Block by Xi Yang, Xingguo Jiang, Jinfeng Liu

“…The study of Chinese image captioning holds immense value but presents significant challenges due to the complexity of Chinese semantic features. To address these difficulties, we propose a Deep Fusion Feature Encoder, which enables the model to extract more detailed visual features from images. …”
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Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP by Faruq Abdul Hakim, Tio Dharmawan, Muhamad Arief Hidayat

“…Furthermore, the most optimal classification model, with a performance of 91.928%, was formed by implementing Logistic Regression with MB-LBP on LBG-VQ quantized images. …”
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Optimizing agricultural classification with masked image modeling by Ying shu Peng, Yi Wang

“…The pretrained model was then fine-tuned on three independent agricultural classification datasets and performed better than state-of-the-art methods. …”
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A New Prediction Model of Dam Deformation and Successful Application by Shuangping Li, Bin Zhang, Meng Yang, Senlin Li, Zuqiang Liu

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Integrating multi‐omics features enables non‐invasive early diagnosis and treatment response prediction of diffuse large B‐cell lymphoma by Weilong Zhang, Bangquan Ye, Yang Song, Ping Yang, Wenzhe Si, Hairong Jing, Fan Yang, Dan Yuan, Zhihong Wu, Jiahao Lyu, Kang Peng, Xu Zhang, Lingli Wang, Yan Li, Yan Liu, Chaoling Wu, Xiaoyu Hao, Yuqi Zhang, Wenxin Qi, Jing Wang, Fei Dong, Zijian Zhao, Hongmei Jing, Yanzhao Li

“…Abstract Background Multi‐omics features of cell‐free DNA (cfDNA) can effectively improve the performance of non‐invasive early diagnosis and prognosis of cancer. …”
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Classifying Spotify Song Trends with SoundSoar: Machine Learning Insights for Content Creation and Marketing by Victoria Grasso, Andreas Marpaung

“… SoundSoar applies machine learning to predict Spotify song popularity trends—“up,” “down,” or “stable”—using engineered audio features and historical data. Among eight tested classifiers, the MLP achieved 97.0% accuracy, while ensemble models like Random Forest consistently performed well (90.0%–91.0%). …”
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A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammad Ghattas, Antonio M. Mora, Suhail Odeh

“…The application of feature selection techniques significantly enhances model performance, demonstrating the importance of focusing on impactful predictors. …”
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An executable software architecture model for response time and reliability assessment by Zahra Norouzi, Ali Harounabadi

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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Furthermore, incorporating performance weighting based on game context may further enhance model accuracy. …”
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Analysis of Three-Dimensional Micro-Contact Morphology of Contact Groups Based on Superpixel AMR Morphological Features and Fractal Theory by Jiahang Shen, Defeng Cui, Wenhua Li, Peidong Zhao, Xianchun Meng, Jiyuan Cai, Zheng Han, Haitao Wang

“…At the microscale, the three-dimensional morphological features of contact surfaces have a significant impact on the performance of electrical contacts. …”
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Sustainable energy: Advancing wind power forecasting with grey wolf optimization and GRU models by Zainab Al-Ibraheemi, Samaher Al-Janabi

“…In terms of prediction performance, the GRU model was evaluated on three datasets: the original, MEF, and BDG-GWO datasets. …”
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X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease by Wenhui Chen, Shunwu Xu, Yiran Peng, Yiran Peng, Hong Zhang, Jian Zhang, Huaihao Zheng, Hao Yan, Zhaowen Chen, Zhaowen Chen

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RMVAD-YOLO: A Robust Multi-View Aircraft Detection Model for Imbalanced and Similar Classes by Keda Li, Xiangyue Zheng, Jingxin Bi, Gang Zhang, Yi Cui, Tao Lei

“…To overcome this limitation, we propose RMVAD-YOLO, a multi-view aircraft detection model built upon YOLOv8. First, we propose a novel Robust Multi-Link Scale Interactive Feature Pyramid Network (RMSFPN), which robustly extracts features of the same aircraft category from multiple views while enhancing feature differentiation between different aircraft categories. …”
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Optimizing Precipitation Forecasting and Agricultural Water Resource Allocation Using the Gaussian-Stacked-LSTM Model by Maofa Wang, Bingcheng Yan, Yibo Zhang, Lu Zhang, Pengcheng Wang, Jingjing Huang, Weifeng Shan, Haijun Liu, Chengcheng Wang, Yimin Wen

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Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization by Kailun Ji, Ping Wang, Yinliang Jia

“…Three key innovations drive this research: (1) A dynamic PSO algorithm incorporating adaptive learning factors and nonlinear inertia weight for precise RBF parameter optimization; (2) A hierarchical feature processing strategy combining mutual information selection with correlation-based dimensionality reduction; (3) Adaptive model architecture adjustment for small-sample scenarios. …”
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Exploring network dynamics in scientific innovation: collaboration, knowledge combination, and innovative performance by Yangyang Jia, Hongshu Chen, Jingkang Liu, Xuefeng Wang, Rui Guo, Ximeng Wang

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A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging by Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang

“…Finally, the CRF module further applies transition rules to improve classification performance. We evaluate our model on two public datasets, Sleep-EDF-20 and Sleep-EDF-78. …”
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Machine-learning prediction models for any blood component transfusion in hospitalized dengue patients by Md. Shahid Ansari, Dinesh Jain, Sandeep Budhiraja

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