Research on anomaly detection model for traffic time series data integrating multiple mechanisms by Peipei ZHANG, Jiaqi LIU

“…To enhance the anomaly recognition ability of traffic time series data, a hybrid model was constructed. Firstly, the multi-head attention, residuals and probabilistic sparse self-attention were combined to form a global feature recognition (GFR) module, enhancing the ability while reducing computational complexity. …”
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SEGREGATION MODELS OF COMPLEX QUANTITATIVE TRAITS AND LINKAGE ANALYSIS IN EXTENDED RECOMBINANT INBRED CROSSES by M. S. Diakov, A. V. Osadchuk

“…Solutions that would describe experimental data set to an accuracy of environmental variance are sought in the constructed classes of models. Then linkage analysis is performed: model loci positions of the found solutions are mapped on chromosomes. …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…Additionally, we can estimate subpixel level fine-grained velocity. Our model may be affected by overfitting during cross–data set inference, so we encourage performing a small amount of transfer learning on new data sets to mitigate this issue. …”
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Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model by Zhikai Xing, Yongbao Liu, Qiang Wang, Junqiang Fu

“…To meet the input requirements of the model while minimizing feature loss, an alternative approach to visualizing vibration data is introduced. …”
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Construction of a health literacy prediction model for diabetic patients: A multicenter study by Zepeng Wang, Junyi Shi, Fangyuan Jiang, Kui Jiang, Yalan Chen

“…Based on the survey results, data from three communities were randomly selected as the test set, with the remaining data used as the training set. Feature selection was performed using recursive feature elimination. …”
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On the Prediction and Forecasting of PMs and Air Pollution: An Application of Deep Hybrid AI-Based Models by Youness El Mghouchi, Mihaela Tinca Udristioiu

“…The GEO-based feature selection method effectively identified the most relevant predictors, while the Deep-NARMAX model captured temporal dynamics for accurate forecasting. …”
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Modeling the dynamics of two-factor socio-economic states through mappings close to extension by V. V. Egorov

“…Accounting for this assessment is important for preventing crisis phenomena. The model is intended to be used for informational, forecasting, management and governance purposes in the presence of a sufficient digitalization’s degree of public structures, without which it is problematic to receive and transmit data for building the model, and perform related calculations.…”
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Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability by Abid Badshah, Basem Yousef Alkazemi, Fakhrud Din, Kamal Z. Zamli, Muhammad Haris

“…Through the use of K-fold cross-validation, Explainable AI (XAI) and feature engineering, we identify the best-performing model, with Random Forest coming out on top scoring an accuracy of 99.7% with precision, recall, F1 score, and confusion matrix. …”
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YOLOv8-LSW: A Lightweight Bitter Melon Leaf Disease Detection Model by Shuang Liu, Haobin Xu, Ying Deng, Yixin Cai, Yongjie Wu, Xiaohao Zhong, Jingyuan Zheng, Zhiqiang Lin, Miaohong Ruan, Jianqing Chen, Fengxiang Zhang, Huiying Li, Fenglin Zhong

“…Comparison tests with various mainstream deep learning models also demonstrated that YOLO-LSW performs well in the bitter melon disease detection task. …”
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Development and validation of prognostic prediction model for submandibular gland cancer based on the SEER database by Junkun He, Feng Zhao, Jiangmiao Li, Qiyun Li, Fangyu Wei, Jiping Su

“…Various clinical and demographic factors, including age, tumor size, histology, and lymph node metastasis, were considered as potential prognostic factors. Feature selection was performed using lasso regression, and a Cox proportional hazards model was constructed, taking into account the complex interactions between variables and their impact on survival outcomes. …”
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KACFormer: A Novel Domain Generalization Model for Cross-Individual Bearing Fault Diagnosis by Shimin Shu, Muchen Xu, Peifeng Liu, Peize Yang, Tianyi Wu, Jie Yang

“…The adaptive activation function enhances its nonlinear modeling ability. Comprehensive experiments are performed on two public datasets, demonstrating the superior generalization of the proposed KACFormer model with a higher accuracy of 95.73% and 91.58% compared to existing advanced models.…”
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Radiomics-based machine learning model for diagnosing internal abdominal hernias: a retrospective study by Zhong-Kai Ni, Tian-Han Zhou, Shu-Chao Kang, Ye-Hong Han, Hai-Min Jin, Shi-Fei Huang, Hai Huang

“…Eight machine learning models were constructed, and the classifier with the best performance was selected based on comparative evaluation. …”
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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning by anfal A. Fadhil, Asmaa’ H. AL_Bayati, Ibrahim Ahmed Saleh

“…Thus, this paper inspects the reliability of software applications as a substantial feature of this application and helps determine the extent of software reliability in performing specialized functions. …”
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Numerical Modeling of Charging and Discharging of Shell-and-Tube PCM Thermal Energy Storage Unit by Maciej Fabrykiewicz, Krzysztof Tesch, Janusz T. Cieśliński

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A lightweight UAV target detection algorithm based on improved YOLOv8s model by Fubao Ma, Ran Zhang, Bowen Zhu, Xirui Yang

“…The results indicate that the proposed model performs effectively in UAV recognition applications.…”
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Industry 5.0 research: an approach using co-word analysis and BERTopic modeling by Abderahman Rejeb, Karim Rejeb, Steve Simske, Edit Süle

“…Using a comprehensive and systematic approach, the current study performed a co-word analysis and BERTopic modeling on a carefully selected dataset of 933 journal articles, sourced from Scopus and originally published between 2016 and 2024. …”
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Research on Defect Detection of Bare Film in Landfills Based on a Temperature Spectrum Model by Feixiang Jia, Yayu Chen, Wei Hao

“…The experimental results show that the model could identify the surface defects on HDPE film during construction and could obtain the approximate outline and size of the hidden defects in the welding area.…”
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Comparative analysis of machine learning classifiers and deep learning models for categorization of Knee Osteoarthritis by Deo Arpit, Korde Manish, Khatri Amit, Jain Aman, Kumawat Ashish, Rathore Vineeta

“…From the experimental results, it is concluded that the XGBoost classifier performed the best with 97.00 % accuracy.…”
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Probing the Inert Doublet Model via vector-boson fusion at a muon collider by Johannes Braathen, Martin Gabelmann, Tania Robens, Panagiotis Stylianou

“…The Inert Doublet Model is a two-Higgs-doublet model variant with an unbroken discrete ℤ 2 symmetry, featuring new stable scalar particles that can serve as dark matter candidates. …”
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Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers by Hengjun Wan, Huaju Tian, Cheng Wu, Yue Zhao, Daiying Zhang, Yujie Zheng, Yuan Li, Xiaoxia Duan

“…Among the 10 machine‐learning models, the random forest model performed the best (validation cohort, area under the receiver operating characteristic curve of 0.795 [0.704–0.885]). …”
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